Pinned Repositories
Adaptive-MultiSpeaker-Separation
Adaptive and Focusing Neural Layers for Multi-Speaker Separation Problem
aeneas
aeneas is a Python/C library and a set of tools to automagically synchronize audio and text (aka forced alignment)
AI00
Algorithm_Interview_Notes-Chinese
2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记
algorithms-4th-Cplusplus
implement all algorithms of "algorithms 4th edition" with C++
algorithms-sedgewick-python
Algorithms(4th edition) by Robert Sedgewick and Kevin Wayne exercises in python
alphafive
5002
boruvka_in_python
Coursera-Deep-Learning-deeplearning.ai
（完结）网易云课堂微专业《深度学习工程师》听课笔记，编程作业和课后练习
mrzyzhaozeyu's Repositories
mrzyzhaozeyu/alphafive
5002
mrzyzhaozeyu/boruvka_in_python
mrzyzhaozeyu/awesome-graph-classification
A collection of important graph embedding, classification and representation learning papers with implementations.
mrzyzhaozeyu/awesome-knowledge-graph
整理知识图谱相关学习资料
mrzyzhaozeyu/benchmarking-gnns
Repository for benchmarking graph neural networks
mrzyzhaozeyu/C-Plus-Plus
All Algorithms implemented in C++
mrzyzhaozeyu/coach
Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms
mrzyzhaozeyu/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、Java、Python、C++
mrzyzhaozeyu/CS224n-2019
CS224n-2019 Assignment & Readings
mrzyzhaozeyu/CS224n-2019-Reading-Notes
CS224N-2019 Chinese Reading Notes 中文阅读笔记
mrzyzhaozeyu/d2l-en
Dive into Deep Learning: an interactive deep learning book with code, math, and discussions
mrzyzhaozeyu/d2l-pytorch
This project reproduces the book Dive Into Deep Learning (www.d2l.ai), adapting the code from MXNet into PyTorch.
mrzyzhaozeyu/deep-learning-drizzle
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
mrzyzhaozeyu/DeepCTR
Easy-to-use,Modular and Extendible package of deep-learning based CTR models for search and recommendation.
mrzyzhaozeyu/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
mrzyzhaozeyu/deeplearning-models
A collection of various deep learning architectures, models, and tips
mrzyzhaozeyu/design_patterns
图说设计模式
mrzyzhaozeyu/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。
mrzyzhaozeyu/dlrm
An implementation of a deep learning recommendation model (DLRM)
mrzyzhaozeyu/flowpm
Particle Mesh simulation in TensorFlow
mrzyzhaozeyu/GNNPapers
Must-read papers on graph neural networks (GNN)
mrzyzhaozeyu/leetcode
Python & JAVA Solutions for Leetcode
mrzyzhaozeyu/ml-coursera-python-assignments
Python assignments for the machine learning class by andrew ng on coursera with complete submission for grading capability and re-written instructions.
mrzyzhaozeyu/New-Word-Discovery
新词发现 基于词频、凝聚系数和左右邻接信息熵
mrzyzhaozeyu/Python
All Algorithms implemented in Python
mrzyzhaozeyu/pytorch-lightning
Rapid research framework for PyTorch. The researcher's version of Keras
mrzyzhaozeyu/pytorch_geometric
Geometric Deep Learning Extension Library for PyTorch
mrzyzhaozeyu/QuantumKatas
Tutorials and programming exercises for learning Q# and quantum computing
mrzyzhaozeyu/Quirk
A drag-and-drop quantum circuit simulator that runs in your browser. A toy for exploring and understanding small quantum circuits.
mrzyzhaozeyu/torchcv
A PyTorch-Based Framework for Deep Learning in Computer Vision