BastienZim's Stars
google-deepmind/long-form-factuality
Benchmarking long-form factuality in large language models. Original code for our paper "Long-form factuality in large language models".
ConsequentAI/fneval
Functional Benchmarks and the Reasoning Gap
srush/raspy
An interactive exploration of Transformer programming.
labmlai/annotated_deep_learning_paper_implementations
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
huytransformer/Awesome-Out-Of-Distribution-Detection
Out-of-distribution detection, robustness, and generalization resources. The repository contains a curated list of papers, tutorials, books, videos, articles and open-source libraries etc
aai-institute/pyDVL
pyDVL is a library of stable implementations of algorithms for data valuation and influence function computation
andreArtelt/ceml
CEML - Counterfactuals for Explaining Machine Learning models - A Python toolbox
ritchieng/the-incredible-pytorch
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.
tech-srl/RASP
An interpreter for RASP as described in the ICML 2021 paper "Thinking Like Transformers"
craft-ai/shap-adwin
lakwet/voracious_sort
Voracious radix sort
michiard/DISC-CLOUD-COURSE
Distributed Systems and Cloud Computing Course
salimamoukou/acv00
ACV is a python library that provides explanations for any machine learning model or data. It gives local rule-based explanations for any model or data and different Shapley Values for tree-based models.
sktime/sktime
A unified framework for machine learning with time series
sktime/pytorch-forecasting
Time series forecasting with PyTorch
EthicalML/xai
XAI - An eXplainability toolbox for machine learning
rasbt/deeplearning-models
A collection of various deep learning architectures, models, and tips
BastienZim/Challenges
Some notebooks solving some data science challenges.