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IRT Saint-Exupery, @deel-ai
- Toulouse
Stars
Keras beit,caformer,CMT,CoAtNet,convnext,davit,dino,efficientdet,edgenext,efficientformer,efficientnet,eva,fasternet,fastervit,fastvit,flexivit,gcvit,ghostnet,gpvit,hornet,hiera,iformer,inceptionneβ¦
Set of tools to assess and improve LLM security.
An 8 Lesson course teaching everything you need to know about harnessing GitHub Copilot and an AI Paired Programing resource.
"AI for Climate Science" Special Session at the 2024 WCCI
OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.
π’ Open-Source Evaluation & Testing for ML & LLM systems
Holistic Evaluation of Language Models (HELM), a framework to increase the transparency of language models (https://arxiv.org/abs/2211.09110). This framework is also used to evaluate text-to-image β¦
Crawl a site to generate knowledge files to create your own custom GPT from a URL
π Puncc is a python library for predictive uncertainty quantification using conformal prediction.
A batched offline inference oriented version of segment-anything
Data Engineering class in the Supaero Data and Decision Sciences program
"Evolutionary Methods for Interpretable Control" presentation
π Code for : "CRAFT: Concept Recursive Activation FacTorization for Explainability" (CVPR 2023)
Quantus is an eXplainable AI toolkit for responsible evaluation of neural network explanations
A runway dataset and a generator of synthetic aerial images with automatic labeling.
Simple, compact, and hackable post-hoc deep OOD detection for already trained tensorflow or pytorch image classifiers.
π Xplique is a Neural Networks Explainability Toolbox
π Influenciae is a Tensorflow Toolbox for Influence Functions
Build and train Lipschitz-constrained networks: PyTorch implementation of 1-Lipschitz layers. For TensorFlow/Keras implementation, see https://github.com/deel-ai/deel-lip
Build and train Lipschitz constrained networks: TensorFlow implementation of k-Lipschitz layers
A python library for neural MEA data treatment and spike sorting
π Tidy up your machine learning experiments