Code for ICML 2024 paper (Oral) — Test-Time Model Adaptation with Only Forward Passes

Official Implementation of "Graph of Thoughts: Solving Elaborate Problems with Large Language Models"

A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

A Unified Pixel-level Vision LLM for Understanding, Generating, Segmenting, Editing

BuboGPT: Enabling Visual Grounding in Multi-Modal LLMs

Prompt Learning for Vision-Language Models (IJCV'22, CVPR'22)

A collection of resources and papers on Diffusion Models

Baidu's open-source Sentiment Analysis System.

👑 Easy-to-use and powerful NLP and LLM library with 🤗 Awesome model zoo, supporting wide-range of NLP tasks from research to industrial applications, including 🗂Text Classification, 🔍 Neural Search…

Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation, and more.

(CVPR 2021) Few-Shot Classification with Feature Map Reconstruction Networks

DeepFashion2 Dataset https://arxiv.org/pdf/1901.07973.pdf

The PyTorch implementation of CubMeta

SKAL for remote sensing scene image classification

[NeurIPS 2022] Official code for "Focal Modulation Networks"

FGVCx Fungi Classfiication competition details

Presenting Low-shot Visual Recognition by Shrinking and Hallucinating Features

LibFewShot: A Comprehensive Library for Few-shot Learning. TPAMI 2023.

"Probabilistic Machine Learning" - a book series by Kevin Murphy

ADE20K Dataset

The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

This is an official implementation for "Self-Supervised Learning with Swin Transformers".

Intro to Reinforcement Learning (强化学习纲要）

Exploring Self-attention for Image Recognition, CVPR2020.