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activationfunctions

awesome-chatgpt-prompts

This repo includes ChatGPT prompt curation to use ChatGPT better.

awesome-public-datasets

A topic-centric list of HQ open datasets.

chatglm3

ChatGLM3 series: Open Bilingual Chat LLMs | 开源双语对话语言模型

china-software-copyright

Chinese software copyright application template document

chinese-text-classification-pytorch-master

edgegpt

Reverse engineered API of Microsoft's Bing Chat

gpt_academic

为GPT/GLM提供图形交互界面，特别优化论文阅读润色体验，模块化设计支持自定义快捷按钮&函数插件，支持代码块表格显示，Tex公式双显示，新增Python和C++项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持清华chatglm等本地模型。兼容复旦MOSS, llama, rwkv, 盘古等。

hiro_pytorch-

Implementation of HIRO (Data-Efficient Hierarchical Reinforcement Learning)

hrl-for-combinatorial-optimization

Hierarchical deep reinforcement learning for combinatorial optimization problem

learning_research

本人的科研经验

mathematical-modeling

全国数学建模，美赛，数维杯，亚太杯代码模型论文资料

models

Models and examples built with TensorFlow

nndl.github.io

《神经网络与深度学习》 邱锡鹏著 Neural Network and Deep Learning

prompt-engineering-guide

🐙 Guides, papers, lecture, notebooks and resources for prompt engineering

pytorch-encrypted-traffic-classification-with-1d_cnn

论文Encrypted Traffic Classification with One-dimensional Convolution Neural Networks的torch实现

pytorch-image-models

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNet-V3/V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

reinforcement-learning-with-pytorch

Reinforcement learning with PyTorch, inspired by MorvanZhou, change the framework from Tensorflow to PyTorch

repvit

RepViT: Revisiting Mobile CNN From ViT Perspective

segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

survivejnumanual

各位江南大学的学弟学妹们，你们好呀！这个仓库里含有一份江南大学学习生活指南（指南旨在为刚入学的江大新生指明方向，少走歪路，从学习篇和生活篇这两部分提供了一些学习和生活上的建议）和一份江南大学自动化课程学习经验分享（作者本人为江南大学自动化专业，现已保研至HUST）。此外，指南的附录里附上了一个百度网盘链接，该链接是一份主要面向江大理工科学生（主要针对自动化专业学生）的学习资料。

traffic_classification_utils

网络流量分类对比方法汇总

transformers

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

universal-option-framwork-pytorch

PyTorch implementation of Universal Option Framework (UOF) for OpenAI gym environments

uof-paper-code

Official implementation for the UOF paper (algorithm & environment)

z1069614715