ZhenkaiGao's Stars
scutan90/DeepLearning-500-questions
深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系scutjy2015@163.com 版权所有,违权必究 Tan 2018.06
Jack-Cherish/Machine-Learning
:zap:机器学习实战(Python3):kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归
josephmisiti/awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
AI4Finance-Foundation/FinRL
FinRL: Financial Reinforcement Learning. 🔥
janishar/mit-deep-learning-book-pdf
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
mitmproxy/mitmproxy
An interactive TLS-capable intercepting HTTP proxy for penetration testers and software developers.
lexfridman/mit-deep-learning
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
52CV/CV-Surveys
计算机视觉相关综述。包括目标检测、跟踪........
LYuhang/GNN_Review
GNN综述阅读报告
zhanwen/MathModel
研究生数学建模,本科生数学建模、数学建模竞赛优秀论文,数学建模算法,LaTeX论文模板,算法思维导图,参考书籍,Matlab软件教程,PPT
pytorch/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
mit-han-lab/torchquantum
A PyTorch-based framework for Quantum Classical Simulation, Quantum Machine Learning, Quantum Neural Networks, Parameterized Quantum Circuits with support for easy deployments on real quantum computers.
PaddlePaddle/Quantum
tensorflow/quantum
Hybrid Quantum-Classical Machine Learning in TensorFlow
microsoft/QuantumKatas
Tutorials and programming exercises for learning Q# and quantum computing
Mikoto10032/DeepLearning
深度学习入门教程, 优秀文章, Deep Learning Tutorial
mli/paper-reading
深度学习经典、新论文逐段精读
heibaiying/BigData-Notes
大数据入门指南 :star:
XinjianOUYANG/Quantum_Physics
量子物理、量子计算相关资料
feimax/latex_template_for_xjtlu_eee
A LaTeX Template for XJTLU EEE Students
Dod-o/Statistical-Learning-Method_Code
手写实现李航《统计学习方法》书中全部算法
fengdu78/lihang-code
《统计学习方法》的代码实现
datawhalechina/statistical-learning-method-solutions-manual
统计学习方法习题解答,在线阅读地址:https://datawhalechina.github.io/statistical-learning-method-solutions-manual
datawhalechina/leedl-tutorial
《李宏毅深度学习教程》(李宏毅老师推荐👍,苹果书🍎),PDF下载地址:https://github.com/datawhalechina/leedl-tutorial/releases
fastapi/fastapi
FastAPI framework, high performance, easy to learn, fast to code, ready for production