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Spurious Features Everywhere - Large-Scale Detection of Harmful Spurious Features in ImageNet
A curated, but incomplete, list of data-centric AI resources.
The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
The fundamental package for scientific computing with Python.
NumPy aware dynamic Python compiler using LLVM
Translate APIs described by OpenAPI Specifications (OAS) into GraphQL
There can be more than Notion and Miro. AFFiNE(pronounced [ə‘fain]) is a next-gen knowledge base that brings planning, sorting and creating all together. Privacy first, open-source, customizable an…
Uncertainty-aware representation learning (URL) benchmark
[ICCV2023] Dataset Quantization
🚀 Accelerate training and inference of 🤗 Transformers and 🤗 Diffusers with easy to use hardware optimization tools
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
🚀 A simple way to launch, train, and use PyTorch models on almost any device and distributed configuration, automatic mixed precision (including fp8), and easy-to-configure FSDP and DeepSpeed support
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Accessible large language models via k-bit quantization for PyTorch.
🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
Train ImageNet *fast* in 500 lines of code with FFCV
The simplest, fastest repository for training/finetuning medium-sized GPTs.
arXiv LaTeX Cleaner: Easily clean the LaTeX code of your paper to submit to arXiv
An Actions-Per-Minute Tracker (APM) to provide insights into your APM while you play
Super Productivity is an advanced todo list app with integrated Timeboxing and time tracking capabilities. It also comes with integrations for Jira, Gitlab, GitHub and Open Project.
Performance Software for Cyclists, Runners, Triathletes and Coaches
Minigrid is a simulation of the world in the form of a grid. The target is to train an agent to understand textual instructions.
Implementations of selected inverse reinforcement learning algorithms.
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
A toolkit for developing and comparing reinforcement learning algorithms.