SNWK

SNWK's Stars

• SNWK/DivideTree

  Language:Jupyter Notebook2

• choidami/sst

  Language:Python495

• Mainak431/List-of-Differentiable--OPs-and-Non-differentiable-OPs--in-Tensorflow

  Language:Python616

• lucidrains/x-transformers

  A simple but complete full-attention transformer with a set of promising experimental features from various papers

  Language:Python4.4k374

• rustdesk/rustdesk

  An open-source remote desktop application designed for self-hosting, as an alternative to TeamViewer.

  Language:Rust68.8k7.6k

• pyg-team/pytorch_geometric

  Graph Neural Network Library for PyTorch

  Language:Python20.7k3.6k

• tensorflow/tensor2tensor

  Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

  Language:Python15.2k3.4k

• oargudo/mountains

  Code to compute the prominence and isolation of mountains from digital elevation data

  Language:C++4

• boschresearch/PR-SSM

  Python implementation of the PR-SSM.

  Language:Python5119

• SNWK/mountains

  Code to compute the prominence and isolation of mountains from digital elevation data

  Language:C++1

• D-X-Y/AutoDL-Projects

  Automated deep learning algorithms implemented in PyTorch.

  Language:Python1.6k281

• gin-gonic/gin

  Gin is a HTTP web framework written in Go (Golang). It features a Martini-like API with much better performance -- up to 40 times faster. If you need smashing performance, get yourself some Gin.

  Language:Go77k7.9k

• element-plus/element-plus

  🎉 A Vue.js 3 UI Library made by Element team

  Language:TypeScript23.8k15.2k

• labuladong/fucking-algorithm

  刷算法全靠套路，认准 labuladong 就够了！English version supported! Crack LeetCode, not only how, but also why.

  Language:Markdown124k23.1k

• microsoft/constrained-graph-variational-autoencoder

  Sample code for Constrained Graph Variational Autoencoders

  Language:Python22756

• graykode/nlp-roadmap

  ROADMAP(Mind Map) and KEYWORD for students those who have interest in learning NLP

  3.2k512

• librauee/Statistical-Learning

  ✒统计学习方法第二版（李航） 学习笔记、代码实现、课后习题

  Language:Python35199

• ppoffice/hexo-theme-icarus

  A simple, delicate, and modern theme for the static site generator Hexo.

  Language:JavaScript6.3k1.5k

• yongqyu/MolGAN-pytorch

  Pytroch implementation of MolGAN: An implicit generative model for small molecular graphs (https://arxiv.org/abs/1805.11973)

  Language:Python16143

• wengong-jin/icml18-jtnn

  Junction Tree Variational Autoencoder for Molecular Graph Generation (ICML 2018)

  Language:Python501190

• akirmse/mountains

  Code to compute the prominence and isolation of mountains from digital elevation data

  Language:C++305

• dmlc/dgl

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

  Language:Python13.2k3k

• AlexIoannides/pymc-advi-hmc-demo

  Demonstrating HMC and ADVI algorithms for Bayesian data analysis using PYMC3.

  Language:Jupyter Notebook144

• plaidml/plaidml

  PlaidML is a framework for making deep learning work everywhere.

  Language:C++4.6k400

• spro/char-rnn.pytorch

  PyTorch implementation of char-rnn (character-level language model)

  Language:Python19790

• yongqyu/STRNN

  Predicting the Next Location: A Recurrent Model with Spatial and Temporal Contexts

  Language:Python14062

• mhjabreel/STF-RNN

  Keras implementation of STF-RNN: Space Time Features-based Recurrent Neural Network for Predicting People Next Location

  Language:Python2814

• karpathy/char-rnn

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

  Language:Lua11.5k2.6k

• stanfordnlp/treelstm

  Tree-structured Long Short-Term Memory networks (http://arxiv.org/abs/1503.00075)

  Language:Lua878237

• edwardearl/winprom

  winprom

  Language:C++183