cswluo's starred repositories

FOA

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

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graph-of-thoughts

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

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minGPT

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

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Vitron

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

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bubogpt

BuboGPT: Enabling Visual Grounding in Multi-Modal LLMs

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CoOp

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

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Awesome-Diffusion-Models

A collection of resources and papers on Diffusion Models

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Senta

Baidu's open-source Sentiment Analysis System.

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PaddleNLP

👑 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, ❓ Question Answering, ℹ️ Information Extraction, 📄 Document Intelligence, 💌 Sentiment Analysis etc.

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pytorch-sentiment-analysis

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

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TextBlob

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

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FRN

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

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DeepFashion2

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

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CubMeta

The PyTorch implementation of CubMeta

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SKAL

SKAL for remote sensing scene image classification

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FocalNet

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

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fgvcx_fungi_comp

FGVCx Fungi Classfiication competition details

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low-shot-shrink-hallucinate

Presenting Low-shot Visual Recognition by Shrinking and Hallucinating Features

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LibFewShot

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

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pml-book

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

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ADE20K

ADE20K Dataset

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pytorch-metric-learning

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

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pytorch-image-models

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

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Swin-Transformer

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

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Transformer-SSL

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

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introRL

Intro to Reinforcement Learning (强化学习纲要)

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SAN

Exploring Self-attention for Image Recognition, CVPR2020.

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