Explainability työt

...Title: Adding Explainability to my computer vision deep learning model. I am looking for a freelancer who can help me add explainability to my computer vision deep learning model. The primary goal of my model is object detection and I need it to detect buildings. Interpretability is very important for my model's Class Activation Mapping including Grad-CAM++ I will provide with the saved model and pkl file which includes preprocessed images to make inferences You just have to worry about implementing CAM and other explainable Algorithms We can use some libraries as well like tf-keras-vis Ideal Skills and Experience: - Experience in computer vision and deep learning - Proficient in Python and TensorFlow - Familiarity with object detection models and explainability...

Hello, I am looking for a freelancer to develop an algorithm for a decision tree. The purpose of the algorithm is to perform classification tasks on numeric data. The programming language of choice for this project is Python,...understanding of data structures and be able to develop data models appropriate for the task. You should also have a good knowledge of the Python language, including proficiency with its libraries for math and data manipulation. We are looking for a freelancer who is able to deliver the maximum efficient and effective solution in the shortest period of time. The freelancer should also consider explainability and interpretability of the models developed. If you believe you possess the necessary skills to complete this project successfully, I kindly invite you...

...diseases and outcomes. We have access to datasets from real patients and will be working on these. For these projects we would need a programmer/engineer who has a good understanding of mathematics and machine learning. On the datasets we have we are looking to utilize and compare different algorithms, both supervised and unsupervised. Furthermore, we will be researching how to increase explainability by using Shapley Additive Explanaitions (SHAP) and other techniques such as Local Interpretable Model Agnostic Explanations etc. An example: We have a small but high quality dataset of 105 with patients with middle ear infection who were followed up during 3 years. Different parameters (such as age, heredity, siblings, parental smoking status etc) and bacterial cultures (date...

I have an Xgboost multi-class classifier written in Python. I need help with the following 1) Evaluate the model for overfitting 2) Model explainability (e.g. using SHAP) 3) Tips to improve accuracy You need to be an expert on XGBoost to qualify.

Job description : Languages Javascript , Python Libraries detect bias data drift produce explainability test data from seed data sources into the app

The project is to fix the code here (), by doing the following: 1. Train the code over the whole DROP dataset, to get rid of training (inductive) bias. And present results. 2. Apply explainability method(s) to describe the model decision. You can decide on the method. (attached some files discussing xai methods). And present results. 3. Hand over code and results.

I need a data analyst to work on the explainability of deep learning model, text me for more info

...classification task. D. For the comparison purpose, apply SVM and XGBoost on the same set of features and then compare it with your neural network model. If the values of the evaluation metrics (accuracy, precision, recall, and F1 Score) are not high in case of neural networks, then try to improve the evaluation metrics on the neural network model (by changing the hyper-parameters). E. Use AI Explainability approaches like SHAP, LIME, etc (whatever you like) and explains why the model has made its decision (Use on False Positive and False Negatives examples). My maximum budget is 60 USD. Don't bid if you are looking for more....

Can you help me get started on a Python Data Science app. This is a hobby app but would love help and happy to pay you on an hourly basis, say $10 USD / hr for interactive screen share sessions and/or specific tasks/problems. Specifically I'm looking for help with - sklearn - matplotlib - XGBoost & other learners Model Explainability is a topic I'm very interested in. Are you interested and can you help? Regards, Muthu Other Packages: pandas, numpy, matplotlib, seaborn, etc.

I need you to create explainability/interpretability for the results of my machine learning image processing model. You will need to create a heat map type of color interpretability which will show specific areas in the image which contribute to the predicted class. I've already trained the model so all you have to do is focus on the visualization part for solid explainability of results.

For this project, you will need to integrate explainability to my image recognition model. I've already trained the model so all you need to do is incorporate good in-depth explainability.

We develop explainability and accountability in use of data, analytics and ML based models. We have use cases focusing on risk around behavior analytics, cybersecurity analytics, environmental risk while we compare the information against other risk related data sources. (i.e. Pandemic, Weather, Terror, etc). See more details at Our job here is not a short term project base engagement, but someone whom we can have a longer term working relationship. The work includes but not limited to: 1) Enhance the training data set, demo data set and respective models 2) Reverse engineer our exiting models to capture decision making rationales 3) Develop necessary ETL 4) Visualization that could be incorporated into a web app. 5) Develop realistic synthetic data to test models

We are looking for a Software Developer/Data Scientist with NLP and UI development and systems integration experience. 1) Develop Rich UI with AI based recruitment portal. 2) Enhance and provide existing NLP based algorithm - Explainability and Interoperability. 3) Systems Integration with G-Drive/Dropbox and existing Video Bot Interview in AWS. Key Skills: AWS, Systems Integration, NLP/ML(spacy,pytorch,tensorflow,nltk), UI -MEAN/MERN Stack,MongoDB. Please refer to our requirements document for more information.