Syväoppiminen Jobs

I need help to reduce overfitting in my hybrid vision transformers/CNN model for prostate cancer classification. Current setup: - Training on medium resolution image data - Data augmentation applied, but only one technique Ideal skills and experience: - Strong background in deep learning, especially with vision transformers and CNNs - Expertise in image data processing and augmentation techniques - Experience with model optimization and overfitting reduction

I have a Vision Transformer + CNN hybrid that classifies prostate cancer on histopathological slides. Even after adding dropout layers, aggressive data augmentation, and standard regularization, training accuracy hovers in the 70 – 85 % range while validation lags notably, so the model is still over-fitting. The task is to diagnose why the gap persists, adjust the architecture or training pipeline, and push validation accuracy closer to the training score without sacrificing recall on minority classes. You will receive the current PyTorch codebase, preprocessing scripts, and a representative slide subset to reproduce the issue. Typical avenues might include fine-tuning ViT blocks, stain normalization, mixup/cutmix, smarter learning-rate schedules, class-balanced sampling, or loss-...

Title: Create a Custom Sign Language Image Dataset (Alphabets, Numbers, and 20 Word Gestures) Project Overview I am developing a computer vision model that recognizes complete sign language gestures, including alphabet signs, number signs, and common word gestures. To train the model, I need a custom image dataset of sign language gestures captured as still images. The dataset should use one consistent sign language system (for example, American Sign Language – ASL). Please specify which sign language you will use. Only images are required. No video is needed. Dataset Requirements The dataset should include: 26 alphabet signs (A–Z) 10 number signs (0–9) 20 common word gestures Total gesture classes: 56 gesture classes Example word gestures may include: hello thank_you ple...

Project Overview: I am seeking a highly skilled n8n Automation Expert to develop and deploy a sophisticated, end-to-end content generation engine on my own n8n instance. The goal is to automate SEO-optimized article writing, AI image creation, and multi-platform social media distribution while using Google Sheets as a central database for content management and duplication prevention. Required Workflow & Technical Logic: Smart Trigger & Duplicate Prevention (Google Sheets): The workflow must run on a Cron Job (scheduled). Before generating any content, the system must query a specific Google Sheets file to ensure the topic or title has not been used previously. After a successful run, the workflow must append the new Title, Date, and WordPress Post URL to the sheet to prevent ...

I’m running a head-to-head study of several classic and deep-learning classifiers—KNN, Logistic Regression, linear SVM, Kernel SVM, and a simple feed-forward Neural Network—using both the original MNIST digits and the Fashion-MNIST images. I want the two datasets treated with equal weight so that any conclusions hold across handwriting and apparel imagery alike. Before training, every image batch must pass through Normalization and Feature Scaling, and I’d like to see creative yet reasonable Data Augmentation (rotations, shifts, noise, etc.) applied consistently to both datasets so we can observe how each model copes with expanded variability. For each classifier, I need precision, recall, and F1-score reported per class and averaged (macro and weighted). Beyond r...

We are conducting a research project in Geospatial Artificial Intelligence and Remote Sensing that supports an academic manuscript submission to journals such as: ISPRS International Journal of Geo-Information IEEE Journal of Selected Topics in Applied Earh Observations and Remote Sensing The system integrates: Satellite image processing Computer vision object detection Large Language Model (LLM) enrichment Retrieval-Augmented Generation (RAG) The engineering system already exists. Your role is to design and execute rigorous ML experiments and evaluation pipelines to support publication-quality results. Infrastructure and deployment will be handled by a DevOps engineer. System Architecture The pipeline is based on the AWS open-source geospatial processing framework: OSML ModelRunner Refer...

I need software that detects temperature gradients in stitched, high-resolution images. Requirements: - Analyze thermal images, focusing on temperature gradients. - Generate detailed reports on detected anomalies. - Input format: RJPG. Ideal Skills: - Experience in image processing and thermal analysis. - Proficiency in software development for anomaly detection. - Knowledge of report generation based on image data. Please include relevant experience in your application.

I am commissioning a 60–70 page dissertation on “Detection of deep-fake images and videos (including voice modulation) using AI.” Academic presentation is essential; please apply a formal scholarly layout with in-text citations and a full reference list. I am flexible on the exact style (APA, MLA, Chicago) as long as it is applied consistently and meets university standards. Research approach I only need a thorough, critical literature review—no primary experiments or case studies. The writing should synthesise current peer-reviewed work on computer-vision techniques, GAN identification, forensic audio analysis, multimodal fusion, and emerging AI counter-measures, weaving these strands into a cohesive argument that highlights research gaps and future directi...

We are conducting a research project in Geospatial Artificial Intelligence and Remote Sensing that supports an academic manuscript submission to journals such as: ISPRS International Journal of Geo-Information IEEE Journal of Selected Topics in Applied Earh Observations and Remote Sensing The system integrates: Satellite image processing Computer vision object detection Large Language Model (LLM) enrichment Retrieval-Augmented Generation (RAG) The engineering system already exists. Your role is to design and execute rigorous ML experiments and evaluation pipelines to support publication-quality results. Infrastructure and deployment will be handled by a DevOps engineer. System Architecture The pipeline is based on the AWS open-source geospatial processing framework: OSML ModelRunner Refer...

The project is a short series of adult videos in which I need the actress’s face replaced with that of a fictional character I generated with AI. The finished footage must look completely authentic—skin tones, lighting, eye-line, micro-expressions, everything—so a photorealistic approach is essential. All raw 4K source scenes are ready to share. I also have a base model of the character’s face; however, the dataset still needs polishing before training. I’ll rely on you to refine that set, handle training, and composite the swap seamlessly back into the footage. Tools such as DeepFaceLab, FaceSwap, or your preferred deep-learning pipeline are fine, provided the final output holds up at full resolution without uncanny artifacts. Subtle colour grading or mino...

**Project Title:** Personalized Recommendation System Using Collaborative Filtering and Deep Learning **Project Description:** I am looking for an experienced AI,ML,DL developer to build a personalized recommendation system using collaborative filtering and deep learning techniques. The system should analyze user–item interaction data and generate personalized recommendations for users. **Project Objectives:** * Develop a recommendation model using collaborative filtering. * Integrate deep learning techniques (such as Neural Collaborative Filtering). * Improve recommendation accuracy by capturing complex user–item relationships. * Generate Top-N personalized recommendations. **Scope of Work:** 1. Data preprocessing and creation of a user–item interaction matrix. 2. I...

Necesito crear una plataforma digital capaz de generar avatares hiperrealistas partiendo de fotografías y grabaciones de voz de cada usuario. El objetivo es que el avatar sea virtualmente indistinguible de la persona real: expresiones faciales naturales, sincronización labial exacta con la voz suministrada y movimientos corporales fluidos. Uso previsto El producto final vivirá dentro de una plataforma propia; por tanto, todo el flujo —desde la carga de datos hasta la interacción final— debe integrarse de forma transparente. Funcionalidades clave que requiero incorporar: • Carga de fotos y grabaciones de voz directamente en la plataforma. • Personalización avanzada de rasgos faciales y expresiones para que cada usuario refine ...

sixteen 1、 Title: Research on Partial Discharge Fault Diagnosis Method for Power Substation Based on Combinatorial Logic and Deep Belief Network 2、 Journal Division: SCI Zone 4 I need you to match 3-5 journals based on my topic, and I may submit them based on the journals you provide me with in the future, 3、 Writing requirements: Write according to my paper title and journal requirements, and provide necessary journal requirements documents, including an AI plagiarism report Turnitin (Artificial Intelligence) (1) Word count: 5000-8000 words (2) Formulas and symbols: cannot exist in image format, nor can they be created using Word's formula editor. Please format all formulas using MathType to ensure that the font and size match the text. (3) Formula number: All formulas must be number...

Hello, I am a researcher looking for a Python developer specialized in Artificial Intelligence to implement the programming part of an innovative project idea. I am looking for someone able to: develop the algorithm in Python process and analyze data build a functional prototype contribute to the technical implementation of the project Required profile: serious, competent, reliable, with strong skills in Python and AI. Possibility of long-term collaboration depending on the results. Best regards.

I want to see a working proof-of-concept that can watch a live webcam feed in an indoor setting and reliably decide whether someone is merely holding a phone or actively using it. The prototype must process the video stream in real time, recognise the presence of a smartphone, then look for behavioural cues—hand placement, posture and, ideally, gaze direction—to confirm active usage. Whenever the model judges that the phone is being used, it should trigger an audible or visible alarm on the host machine instantly; no other logging or alert channels are required for this first iteration. I am happy for you to choose your preferred computer-vision stack (e.g. OpenCV, MediaPipe, PyTorch, TensorFlow, ONNX) as long as the end result runs on a typical workstation without specia...

I’m finalising an academic paper that relies heavily on recent advances in Deep Learning, and I need a polished Literature Review and Background section to anchor the study. The review must cover three focal points: • Vision Transformers (ViTs) • Graph Convolution Networks (GCNs) • Convolutional Neural Networks (CNNs) I already have an outline of my methodology and results; what’s missing is a cohesive narrative that traces how these architectures evolved, the key papers that shaped them, and the open questions my work addresses. Your job is to survey and synthesise the state-of-the-art, cite peer-reviewed sources (preferably within the last five years unless historically significant), and weave the material into a clear, publication-ready section. IEEE...

Project Title: Deep Learning Project for Chest X-ray Diagnosis (Edge & Multi-Modal ) Description: I need help implementing a research project on chest X-ray disease detection using deep learning. The project should include: Dataset preprocessing (MIMIC-CXR / CheXpert) CNN baseline model (ResNet) Lightweight model (MobileNetV3 or similar) Multi-modal input (X-ray images + patient metadata) Basic edge optimization (model size, inference speed) Continual / adaptive learning simulation Evaluation metrics (Accuracy, AUC, F1-score, Precision, Recall) Result tables and graphs for research

I need a YOLOv8 model trained to detect and classify approximately 12 types of fishing vessels from provided images. The dataset will be in YOLO/COCO format. Requirements: - Target accuracy: ~90%+ - Input image resolution: 1280x1280 - Performance metrics: Precision, Recall, F1 Score - Inference optimization: Balanced between speed and accuracy Deliverables: - Trained weights (.pt) - Training script - Inference code Ideal Skills & Experience: - Expertise in YOLOv8 and PyTorch - Experience with object detection and model training - Familiarity with performance metrics and optimization techniques

I want to see a working proof-of-concept that can watch a live webcam feed in an indoor setting and reliably decide whether someone is merely holding a phone or actively using it. The prototype must process the video stream in real time, recognise the presence of a smartphone, then look for behavioural cues—hand placement, posture and, ideally, gaze direction—to confirm active usage. Whenever the model judges that the phone is being used, it should trigger an audible or visible alarm on the host machine instantly; no other logging or alert channels are required for this first iteration. I am happy for you to choose your preferred computer-vision stack (e.g. OpenCV, MediaPipe, PyTorch, TensorFlow, ONNX) as long as the end result runs on a typical workstation without specia...

**Project Title:** Machine Learning Model to Analyze Price Behaviour Around Moving Average (Forex – XAUUSD) **Project Description:** We are building a quantitative research project focused on understanding and modeling **price behaviour around a Moving Average** using machine learning techniques. The objective is to develop a **statistical/ML model that can estimate the probability and confidence of price movement relative to a moving average**. This project is specifically focused on **XAUUSD (Gold) in the Forex market**, using **1-minute historical data**. The key requirement is that the **model must analyze price dynamics strictly around the Moving Average**, without relying on additional technical indicators such as RSI, MACD, Bollinger Bands, etc. We want to understand and ...

I’m finalising an academic paper and need a short-list of fresh, publishable ideas in Artificial Intelligence, Machine Learning or Deep Learning. The goal is to walk away with several concrete topics—each practical enough for a semester-length implementation in Python yet still offering a genuine research gap I can highlight as my own contribution. Here’s what I expect to receive: • 3–5 clearly worded research topics, phrased as potential paper titles. • For every topic, a crisp explanation of what makes it novel in light of recent literature. Cite the gap or twist that turns it from a replication study into new work. • A brief outline of the methodology: suggested datasets, baseline models (e.g., CNNs, Transformers, LSTMs, or classic scikit-lea...

Need tgood tutors for data science and computer science for large number number of tasks only indvial tutors no agencies and middle man

We are looking for a web designer to create a corporate website (14 pages) for a company specializing in construction material installation and public facility construction. Requirements: Responsive design (PC / Tablet / Mobile) Clean and modern design Attention to detail -We Provide: Text and images Preference: Female designers preferred. Please send: Portfolio Estimated timeline Your price. reference site:

We are looking for an experienced Senior AI/ML Engineer to join our team and help build advanced AI-driven solutions. The ideal candidate will have a strong background in machine learning, deep learning, and data science, with expertise in deploying models at scale. If you're passionate about tackling complex challenges and working with cutting-edge AI technologies, we want to hear from you! We are looking for an individual, not agency. Scope of work - Collaborate with the team to integrate AI/ML technologies into current projects. - Develop and optimize machine learning algorithms. - Perform ongoing analysis and validation of AI models. Key Responsibilities: ** Fluent English Skill is MUST!!! So if you don't have ENGLISH SKILLs don't apply for this position. Develop a...

Project Title: MERN Stack Web Application Development Project Description: I am looking for a developer who can build a web application using the MERN Stack (MongoDB, , React.js, Node.js). This project is for academic purposes. Requirements: • Frontend: React.js with responsive UI • Backend: Node.js and • Database: MongoDB • Features: User authentication (login/signup), CRUD operations, basic dashboard • Clean and well-structured code Additional Requirements: • Source code must be provided • Basic documentation of the project • Proper comments in the code Budget: Open for discussion Deadline: 5–7 days If you have experience with MERN Stack development, please place your bid and share your previous work if available.

**Project Title:** Source Detection using Human Behaviour Dynamics using Machine Learning / Deep Learning / AI **Project Description:** I am looking for an experienced Machine Learning / Deep Learning developer to build a model also novelty is must **Scope of Work:** * Dataset preprocessing and exploration * Model development using ML/DL techniques * Training and testing the models * Performance evaluation (Accuracy, Precision, Recall, Confusion Matrix) * Comparison of different models * Clear documentation of the workflow **Preferred Tech Stack:** * Python * Machine Learning / Deep Learning models * TensorFlow / PyTorch / OpenCV * Data visualization libraries **Deliverables:** * Complete source code * Trained model * Results and performance comparison * Brief documentation of th...

The project centers on building a production-ready TensorFlow 2.x model that classifies tabular data delivered to us through an internal API. I have the API specifications and sample payloads ready; you will turn those streams into a clean training pipeline, engineer the right features, and iterate until the classifier meets our performance targets in real-world tests. Scope of work • Data pipeline – pull the API data, handle preprocessing, and produce TensorFlow-friendly datasets for train/val/test splits. • Model development – design, train, and tune a deep learning architecture suitable for tabular inputs (e.g., wide & deep, Transformer, or other proven structures). • Optimization – experiment with hyperparameters, regularization, and callback...