JudyZhou95's Stars
donnemartin/system-design-primer
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
CyC2018/CS-Notes
:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计
ossu/computer-science
:mortar_board: Path to a free self-taught education in Computer Science!
tensorflow/models
Models and examples built with TensorFlow
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
eriklindernoren/ML-From-Scratch
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
d2l-ai/d2l-en
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
chenyuntc/pytorch-book
PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch：入门与实战》)
roboticcam/machine-learning-notes
My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(2000+页)和视频链接
speechbrain/speechbrain
A PyTorch-based Speech Toolkit
WenDesi/lihang_book_algorithm
致力于将李航博士《统计学习方法》一书中所有算法实现一遍
lmoroney/dlaicourse
Notebooks for learning deep learning
wisdompeak/LeetCode
This repository contains the solutions and explanations to the algorithm problems on LeetCode. Only medium or above are included. All are written in C++/Python and implemented by myself. The problems attempted multiple times are labelled with hyperlinks.
allmachinelearning/MachineLearning
Machine learning resources
tirthajyoti/Papers-Literature-ML-DL-RL-AI
Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning
GoogleCloudPlatform/ml-design-patterns
Source code accompanying O'Reilly book: Machine Learning Design Patterns
WenzheLiu-Speech/awesome-speech-enhancement
speech enhancement\speech seperation\sound source localization
nanahou/Awesome-Speech-Enhancement
A tutorial for Speech Enhancement researchers and practitioners. The purpose of this repo is to organize the world’s resources for speech enhancement and make them universally accessible and useful.
microsoft/AEC-Challenge
AEC Challenge
SURGroup/UQpy
UQpy (Uncertainty Quantification with python) is a general purpose Python toolbox for modeling uncertainty in physical and mathematical systems.
ruy1su/ZixiaWeng
Myself
YongyuG/dnn_aec_data_process
pre-process script for timit data for dnn-aec works
adamsolomou/Speech-Enhancement
Real-time speech enhancement based on spectral subtraction
Andong-Li-speech/pyaec
simple and efficient python implemention of a series of adaptive filters. including time domain adaptive filters(lms、nlms、rls、ap、kalman)、nonlinear adaptive filters(volterra filter、functional link adaptive filters)、frequency domain adaptive filters(frequency domain adaptive filter、frequency domain kalman filter) for acoustic echo cancellation.
yluo42/pytorch-stft
An STFT/iSTFT for PyTorch.
YongyuG/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
JudyZhou95/homemade-machine-learning
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
yluo42/HowToBeAProgrammer
A guide on how to be a Programmer - originally published by Robert L Read
YongyuG/algorithms
Minimal examples of data structures and algorithms in Python
YongyuG/kaggle
Kaggle 项目实战（教程） = 文档 + 代码 + 视频