XingzhiZhou

XingzhiZhou's Stars

• pytorch/pytorch

  Tensors and Dynamic neural networks in Python with strong GPU acceleration

  Language:Python84.2k1.7k46.7k22.7k

• d2l-ai/d2l-zh

  《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。

  Language:Python63.7k1.1k011.1k

• hankcs/HanLP

  中文分词 词性标注 命名实体识别 依存句法分析 成分句法分析 语义依存分析 语义角色标注 指代消解 风格转换 语义相似度 新词发现 关键词短语提取 自动摘要 文本分类聚类 拼音简繁转换 自然语言处理

  Language:Python33.9k1.1k1.4k10.2k

• matplotlib/matplotlib

  matplotlib: plotting with Python

  Language:Python20.3k59310.6k7.7k

• fengdu78/lihang-code

  《统计学习方法》的代码实现

  Language:Jupyter Notebook19k536496.3k

• nndl/nndl.github.io

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

  Language:HTML17.5k7546283.6k

• bharathgs/Awesome-pytorch-list

  A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

  15.5k571162.8k

• tangyudi/Ai-Learn

  人工智能学习路线图，整理近200个实战案例与项目，免费提供配套教材，零基础入门，就业实战！包括：Python，数学，机器学习，数据分析，深度学习，计算机视觉，自然语言处理，PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-intelligence python tensorflow tensorflow2 caffe keras pytorch algorithm numpy pandas matplotlib seaborn nlp cv等热门领域

  9.9k20502.3k

• missing-semester-cn/missing-semester-cn.github.io

  the CS missing semester Chinese version

  Language:CSS6.3k3817989

• SmirkCao/Lihang

  Statistical learning methods, 统计学习方法(第2版)[李航] [笔记, 代码, notebook, 参考文献, Errata, lihang]

  Language:Python6k160441.6k

• paperswithcode/ai-deadlines

  :alarm_clock: AI conference deadline countdowns

  Language:JavaScript5.7k9994973

• missing-semester/missing-semester

  The Missing Semester of Your CS Education 📚

  Language:CSS5k47291.2k

• open-mmlab/mmpretrain

  OpenMMLab Pre-training Toolbox and Benchmark

  Language:Python3.5k307831.1k

• junxiaosong/AlphaZero_Gomoku

  An implementation of the AlphaZero algorithm for Gomoku (also called Gobang or Five in a Row)

  Language:Python3.3k101119970

• open-mmlab/mmselfsup

  OpenMMLab Self-Supervised Learning Toolbox and Benchmark

  Language:Python3.2k45279432

• sthalles/SimCLR

  PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations

  Language:Jupyter Notebook2.3k2158469

• snap-stanford/ogb

  Benchmark datasets, data loaders, and evaluators for graph machine learning

  Language:Python1.9k41298402

• HobbitLong/PyContrast

  PyTorch implementation of Contrastive Learning methods

  Language:Python1.9k4228186

• ermongroup/cs228-notes

  Course notes for CS228: Probabilistic Graphical Models.

  Language:SCSS1.9k6929471

• wvangansbeke/Unsupervised-Classification

  SCAN: Learning to Classify Images without Labels, incl. SimCLR. [ECCV 2020]

  Language:Python1.4k54127268

• rll/deepul

  Language:Jupyter Notebook7666114375

• dustinvtran/latex-templates

  A collection of LaTeX templates used for research, courses, and miscellanea.

  Language:TeX746202151

• evanzd/ICLR2021-OpenReviewData

  Crawl & visualize ICLR papers and reviews.

  Language:Jupyter Notebook44416365

• FilippoMB/Spectral-Clustering-with-Graph-Neural-Networks-for-Graph-Pooling

  Experimental results obtained with the MinCutPool layer as presented in the 2020 ICML paper "Spectral Clustering with Graph Neural Networks for Graph Pooling"

  Language:Python26411449

• frederick0329/TracIn

  Implementation of Estimating Training Data Influence by Tracing Gradient Descent (NeurIPS 2020)

  Language:Jupyter Notebook21981015

• wangz10/contrastive_loss

  Experiments with supervised contrastive learning methods with different loss functions

  Language:Jupyter Notebook2167535

• apachecn/stanford-game-theory-notes-zh

  📖斯坦福博弈论中文笔记

  Language:Shell18612232

• zsdonghao/research-and-coding

  研究资源列表 A curated list of research resources

  17011019

• aripakman/neural_clustering_process

  Implementation of the Neural Clustering Process algorithm in Pytorch

  Language:Python31306

• bslqy/Pacman-Capture-the-flag

  UC Berkeley CS188 Intro to AI -- Course Materials

  Language:Python6209