siwl

siwl's Stars

• donnemartin/system-design-primer

  Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

  Language:Python292k6.7k32348.6k

• azl397985856/leetcode

  LeetCode Solutions: A Record of My Problem Solving Journey.( leetcode题解，记录自己的leetcode解题之路。)

  Language:JavaScript55.2k1.3k2579.5k

• google-research/bert

  TensorFlow code and pre-trained models for BERT

  Language:Python38.8k9981.1k9.7k

• GitHubDaily/GitHubDaily

  坚持分享 GitHub 上高质量、有趣实用的开源技术教程、开发者工具、编程网站、技术资讯。A list cool, interesting projects of GitHub.

  36.7k1.3k4903.9k

• viraptor/reverse-interview

  Questions to ask the company during your interview

  28k348252.1k

• HarisIqbal88/PlotNeuralNet

  Latex code for making neural networks diagrams

  Language:TeX22.9k2241242.9k

• checkcheckzz/system-design-interview

  System design interview for IT companies

  22k977145.1k

• rasbt/deeplearning-models

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

  Language:Jupyter Notebook16.9k595304k

• karpathy/char-rnn

  Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch

  Language:Lua11.7k5311792.6k

• pytorch/tutorials

  PyTorch tutorials.

  Language:Jupyter Notebook8.5k1808364.1k

• kuangliu/pytorch-cifar

  95.47% on CIFAR10 with PyTorch

  Language:Python6.1k951362.2k

• google-deepmind/graph_nets

  Build Graph Nets in Tensorflow

  Language:Python5.4k224130785

• weiaicunzai/pytorch-cifar100

  Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet, WideResNet)

  Language:Python4.4k33821.2k

• wookayin/gpustat

  📊 A simple command-line utility for querying and monitoring GPU status

  Language:Python4.2k43124286

• hunkim/PyTorchZeroToAll

  Simple PyTorch Tutorials Zero to ALL!

  Language:Python3.9k147311.2k

• facebookresearch/dlrm

  An implementation of a deep learning recommendation model (DLRM)

  Language:Python3.8k104214852

• Diego999/pyGAT

  Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)

  Language:Python3k1672694

• VeritasYin/STGCN_IJCAI-18

  [IJCAI'18] Spatio-Temporal Graph Convolutional Networks

  Language:Python1.1k1466307

• utkuozbulak/pytorch-custom-dataset-examples

  Some custom dataset examples for PyTorch

  Language:Python864247116

• ethanfetaya/NRI

  Neural relational inference for interacting systems - pytorch

  Language:Python7532534157

• woojeongjin/dynamic-KG

  Dynamic (Temporal) Knowledge Graph Completion (Reasoning)

  592314112

• weightagnostic/weightagnostic.github.io

  repo for interactive article

  Language:JavaScript4563319111

• rain1024/slp2-pdf

  Speech and Language Processing, 2nd Edition in PDF format

  437140134

• BethanyL/DeepKoopman

  neural networks to learn Koopman eigenfunctions

  Language:Jupyter Notebook397189128

• lrjconan/LanczosNetwork

  Lanczos Network, Graph Neural Networks, Deep Graph Convolutional Networks, Deep Learning on Graph Structured Data, QM8 Quantum Chemistry Benchmark, ICLR 2019

  Language:Python31371066

• markovmodel/deeptime

  Deep learning meets molecular dynamics.

  Language:Jupyter Notebook178242440

• Yunbo426/MIM

  Code release for "Memory In Memory: A Predictive Neural Network for Learning Higher-Order Non-Stationarity from Spatiotemporal Dynamics" (CVPR 2019)

  Language:Python15351038

• PwnerHarry/Stronger_GCN

  Implementations of "Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks"

  Language:TeX53619

• yangwangx/Leetcode_Notes

  My Leetcode Notes (in Chinese) based on Python3

  18205

• CODARcode/MDTrAnal

  MD trajectories analysis

  Language:Jupyter Notebook22309