violet-sto

violet-sto's Stars

• pytorch/pytorch

  Tensors and Dynamic neural networks in Python with strong GPU acceleration

  Language:Python83.9k1.7k46.6k22.6k

• 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:Python63.6k1.1k011k

• 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

  Language:JavaScript54.8k2.2k18915.9k

• floodsung/Deep-Learning-Papers-Reading-Roadmap

  Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

  Language:Python38.3k2.1k557.3k

• facebookresearch/detectron2

  Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

  Language:Python30.5k3913.5k7.5k

• yunjey/pytorch-tutorial

  PyTorch Tutorial for Deep Learning Researchers

  Language:Python30.2k6251798.1k

• ageron/handson-ml2

  A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

  Language:Jupyter Notebook28k65551112.8k

• pyg-team/pytorch_geometric

  Graph Neural Network Library for PyTorch

  Language:Python21.4k2523.6k3.7k

• zergtant/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

  Language:Jupyter Notebook20.4k531835.4k

• ShusenTang/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。

  Language:Jupyter Notebook18.4k3871515.4k

• rasbt/deeplearning-models

  A collection of various deep learning architectures, models, and tips

  Language:Jupyter Notebook16.7k594294k

• thunlp/GNNPapers

  Must-read papers on graph neural networks (GNN)

  16k601183k

• 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

• dmlc/dgl

  Python package built to ease deep learning on graph, on top of existing DL frameworks.

  Language:Python13.5k1752.8k3k

• naganandy/graph-based-deep-learning-literature

  links to conference publications in graph-based deep learning

  Language:Jupyter Notebook4.8k25214776

• snap-stanford/ogb

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

  Language:Python1.9k41298401

• rosinality/glow-pytorch

  PyTorch implementation of Glow

  Language:Python51894297

• ehoogeboom/multinomial_diffusion

  Language:Python20651419

• TrentBrick/PyTorchDiscreteFlows

  Discrete Normalizing Flows implemented in PyTorch

  Language:Jupyter Notebook1073613

• didriknielsen/argmax_flows

  Code for paper "Argmax Flows and Multinomial Diffusion: Learning Categorical Distributions"

  Language:Python83215

• violet-sto/Awesome-GNN-papers

  2100