normster

llm_rules

RuLES: a benchmark for evaluating rule-following in language models

CLIP

Contrastive Language-Image Pretraining

detectron2

Detectron2 is FAIR's next-generation platform for object detection and segmentation.

imagecorruptions

Python package to corrupt arbitrary images.

MEAL-V2

MEAL V2: Boosting Vanilla ResNet-50 to 80%+ Top-1 Accuracy on ImageNet without Tricks

vision

Datasets, Transforms and Models specific to Computer Vision

academicpages.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

cocoapi

COCO API - Dataset @ http://cocodataset.org/

FastChat

An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.

fvcore

Collection of common code that's shared among different research projects in FAIR computer vision team.

gradio

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

llama2-api-replicate

mamba

mmdetection

OpenMMLab Detection Toolbox and Benchmark

moco

PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722

moco-v3

PyTorch implementation of MoCo v3 https//arxiv.org/abs/2104.02057

networkx

Network Analysis in Python

normster.github.io

PyContrast

PyTorch implementation of Contrastive Learning methods; List of awesome-contrastive-learning papers

pythia-replicate-api

pytorch-image-models

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more

scenic

Scenic: A Jax Library for Computer Vision Research and Beyond

simple-classification

speech_recognition

Speech recognition module for Python, supporting several engines and APIs, online and offline.

tdc2023-starter-kit

This is the starter kit for the Trojan Detection Challenge 2023 (LLM Edition), a NeurIPS 2023 competition.

tdw

ThreeDWorld simulation environment

tpu

Reference models and tools for Cloud TPUs.

transformers

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

vissl

VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.

vllm

A high-throughput and memory-efficient inference and serving engine for LLMs