Gui Guangchao's repositories
AAAMLP-CN
Approaching (Almost) Any Machine Learning Problem中译版，在线文档地址：https://ytzfhqs.github.io/AAAMLP-CN/
transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
lightning
Deep learning framework to train, deploy, and ship AI products Lightning fast.
Auto-GPT
An experimental open-source attempt to make GPT-4 fully autonomous.
awesome-chatgpt-prompts
This repo includes ChatGPT prompt curation to use ChatGPT better.
featuretools
An open source python library for automated feature engineering
Machine_Learning_Resources
:fish::fish::fish: 机器学习面试复习资源
command_for_deeplearning
整合一份使用使用Linux 以及 conda环境等做深度学习 常使用到的指令
numpy-ml
Machine learning, in numpy
MLab
“云上炼丹师”中的云
deepvac
PyTorch Project Specification.
scikit-learn
scikit-learn: machine learning in Python
PyTorch-Networks
Pytorch implementation of cnn network
pytorch-handbook
pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行
LeetCodeAnimation
Demonstrate all the questions on LeetCode in the form of animation.（用动画的形式呈现解LeetCode题目的思路）
vision
Datasets, Transforms and Models specific to Computer Vision
Statistical-Learning-Method_Code
手写实现李航《统计学习方法》书中全部算法
awesome-papers-fewshot
Collection for Few-shot Learning
pretrained-models.pytorch
Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.
nndl.github.io
《神经网络与深度学习》 邱锡鹏著 Neural Network and Deep Learning
leetcode
Python & JAVA Solutions for Leetcode
test
Java复习合集
Python-100-Days
Python - 100天从新手到大师
exercise
exercise for nndl
HanLP
自然语言处理 中文分词 词性标注 命名实体识别 依存句法分析 新词发现 关键词短语提取 自动摘要 文本分类聚类 拼音简繁
cs230-code-examples
Code examples in pyTorch and Tensorflow for CS230
AiLearning
AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP
Dive-into-DL-PyTorch
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。
awesome-object-detection
Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html
numpy-100
100 numpy exercises (with solutions)