Unified Efficient Fine-Tuning of 100+ LLMs (ACL 2024)

A programming framework for agentic AI 🤖 PyPi: autogen-agentchat Discord: https://aka.ms/autogen-discord Office Hour: https://aka.ms/autogen-officehour

基于Python的开源量化交易平台开发框架

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

Use ChatGPT to summarize the arXiv papers. 全流程加速科研，利用chatgpt进行论文全文总结+专业翻译+润色+审稿+审稿回复

The official repo of Qwen (通义千问) chat & pretrained large language model proposed by Alibaba Cloud.

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

A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

95.47% on CIFAR10 with PyTorch

⛹️ Pytorch ReID: A tiny, friendly, strong pytorch implement of person re-id / vehicle re-id baseline. Tutorial 👉https://github.com/layumi/Person_reID_baseline_pytorch/tree/master/tutorial

Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.

PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)

A (PyTorch) imbalanced dataset sampler for oversampling low frequent classes and undersampling high frequent ones.

[ICLR 2020] Contrastive Representation Distillation (CRD), and benchmark of recent knowledge distillation methods

Uncertainty Toolbox: a Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization

Pytorch implementation of various Knowledge Distillation (KD) methods.

An end-to-end PyTorch framework for image and video classification

High-quality implementations of standard and SOTA methods on a variety of tasks.

Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.

AgentTuning: Enabling Generalized Agent Abilities for LLMs

Generative Adversarial Transformers

Code for ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks

PyTorch implemented C3D, R3D, R2Plus1D models for video activity recognition.

轩辕：度小满中文金融对话大模型

Implementation of Prototypical Networks for Few Shot Learning (https://arxiv.org/abs/1703.05175) in Pytorch

Normalizing flows in PyTorch

[ICCV-2021] TransReID: Transformer-based Object Re-Identification

Deep Active Learning