Official PyTorch implementation for the paper "Interpretable Image Classification via Non-parametric Part Prototype Learning" CVPR 2025.

[AAAI 2024] On the Concept Trustworthiness in Concept Bottleneck Models

A ViT model that allows comparing text embeddings directly with image patch embeddings

Image augmentation library in Python for machine learning.

An easy to use, user-friendly and efficient code for extracting OpenAI CLIP (Global/Grid) features from image and text respectively.

Sparse Linear Concept Embeddings

Implement a ChatGPT-like LLM in PyTorch from scratch, step by step

A curated list of Large Language Model (LLM) Interpretability resources.

This repository collects all relevant resources about interpretability in LLMs

深度学习近年来关于神经网络模型解释性的相关高引用/顶会论文(附带代码)

A curated list of awesome responsible machine learning resources.

Explainability for Vision Transformers

User-friendly AI Interface (Supports Ollama, OpenAI API, ...)

🙌 OpenHands: AI-Driven Development

Minimal reproduction of DeepSeek R1-Zero

A clean implementation of direct preference optimization (DPO) to train the LLaMA 2 model to align with human preferences.

Scripts for fine-tuning Llama2 via SFT and DPO.

Build resilient language agents as graphs.

Code for "WebVoyager: WebVoyager: Building an End-to-End Web Agent with Large Multimodal Models"

RewardBench: the first evaluation tool for reward models.

Implementation of the Swin Transformer in PyTorch.

Code for the manim-generated scenes used in 3blue1brown videos

A community-maintained Python framework for creating mathematical animations.

An automated trading bot using deep reinforcement learning.