BuckeyeDM's Stars
donnemartin/system-design-primer
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
996icu/996.ICU
Repo for counting stars and contributing. Press F to pay respect to glorious developers.
tensorflow/tensorflow
An Open Source Machine Learning Framework for Everyone
Genymobile/scrcpy
Display and control your Android device
jekyll/jekyll
:globe_with_meridians: Jekyll is a blog-aware static site generator in Ruby
aymericdamien/TensorFlow-Examples
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
CSSEGISandData/COVID-19
Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE
vnpy/vnpy
基于Python的开源量化交易平台开发框架
littlecodersh/ItChat
A complete and graceful API for Wechat. 微信个人号接口、微信机器人及命令行微信,三十行即可自定义个人号机器人。
wilsonfreitas/awesome-quant
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
nndl/nndl.github.io
《神经网络与深度学习》 邱锡鹏著 Neural Network and Deep Learning
bbfamily/abu
阿布量化交易系统(股票,期权,期货,比特币,机器学习) 基于python的开源量化交易,量化投资架构
nytimes/covid-19-data
A repository of data on coronavirus cases and deaths in the U.S.
Lasagne/Lasagne
Lightweight library to build and train neural networks in Theano
naturomics/CapsNet-Tensorflow
A Tensorflow implementation of CapsNet(Capsules Net) in paper Dynamic Routing Between Capsules
TrickyGo/Dive-into-DL-TensorFlow2.0
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为TensorFlow 2.0实现,项目已得到李沐老师的认可
alibaba/GraphScope
🔨 🍇 💻 🚀 GraphScope: A One-Stop Large-Scale Graph Computing System from Alibaba | 一站式图计算系统
chihming/awesome-network-embedding
A curated list of network embedding techniques.
jamesmawm/High-Frequency-Trading-Model-with-IB
A high-frequency trading model using Interactive Brokers API with pairs and mean-reversion in Python
thunlp/NRLPapers
Must-read papers on network representation learning (NRL) / network embedding (NE)
thunlp/OpenNE
An Open-Source Package for Network Embedding (NE)
fedden/poker_ai
🤖 An Open Source Texas Hold'em AI
hindupuravinash/nips2017
A list of resources for all invited talks, tutorials, workshops and presentations at NIPS 2017
PetarV-/DGI
Deep Graph Infomax (https://arxiv.org/abs/1809.10341)
cdoersch/vae_tutorial
Caffe code to accompany my Tutorial on Variational Autoencoders
OATML/non-parametric-transformers
Code for "Self-Attention Between Datapoints: Going Beyond Individual Input-Output Pairs in Deep Learning"
xptree/NetMF
Network Embedding as Matrix Factorization: Unifying DeepWalk, LINE, PTE, and node2vec
jiongqian/MILE
MILE: A Multi-Level Framework for Scalable Graph Embedding
cioionut/word2vec
Word2Vec - TensorFlow Implementation
venusatuluri/venusatuluri.github.io