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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
👑 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
[NeurIPS 2022] Official code for "Focal Modulation Networks"
FGVCx Fungi Classfiication competition details
LibFewShot: A Comprehensive Library for Few-shot Learning. TPAMI 2023.
"Probabilistic Machine Learning" - a book series by Kevin Murphy
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".
Exploring Self-attention for Image Recognition, CVPR2020.
Improving Calibration for Long-Tailed Recognition (CVPR2021)