algorithmdistillationinterpretability

Interpreting how transformers simulate reinforcement learning algorithms

chess_ai

custom_dt

devinterp

Tools for studying developmental interpretability in neural networks.

exgan

Adversarial Generation of Extreme Samples

ext_c_dcgan

Supplementary materials to my internship's report.

gradio

Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!

hugginglens

TransformerLens + HuggingFace

iterative_summarization

Experiment on Iterative Summarisation, potentially linked to Natural Abstraction. Made for the Alignment jam #4.

jsonformer

A Bulletproof Way to Generate Structured JSON from Language Models

langchain

⚡ Building applications with LLMs through composability ⚡

lczerolens

🔬 Interpretability for Leela Chess Zero networks.

logit_lens

Reimplementation of the interpretability tool Logit Lens describe GPT-2 behaviour ([Lesswrong](https://www.lesswrong.com/posts/AcKRB8wDpdaN6v6ru/interpreting-gpt-the-logit-lens)).

mistral-playground

Simple playground wrapper around Mistral API.

ml-engineer

Projects realised for the ML Engineer path on OpenClassrooms

mulsi

:lock_with_ink_pen: Safe inference using representation engineering.

mysecondhead

professional_page

ronrhone

Application de gestion pour l'association ronrhone

scrapy-selenium

Scrapy middleware to handle javascript pages using selenium

shopify-app-examples

shopify-app-template-node

transformerlens

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

twitch_analysis

Little study of the Twitch network from the point of vie of complex systems and graphs.

wgenpatex

Wasserstein Generative Models for Patch-based Texture Synthesis

xmaster6y

xmaster6y.github.io

zennit

Zennit is a high-level framework in Python using PyTorch for explaining/exploring neural networks using attribution methods like LRP.

zennit-crp

An eXplainable AI toolkit with Concept Relevance Propagation and Relevance Maximization