strivexjj's Stars
freqtrade/freqtrade-strategies
Free trading strategies for Freqtrade bot
scrtlabs/catalyst
An Algorithmic Trading Library for Crypto-Assets in Python
hengxuZ/binance-quantization
虚拟货币(BTC、ETH)炒币量化系统项目。币安交易所-量化交易-网格策略实践。火币、OKEX热门交易所未来都支持。最简单收益最靠谱的项目,包教包会。
freqtrade/freqtrade
Free, open source crypto trading bot
paperswithbacktest/awesome-systematic-trading
A curated list of awesome libraries, packages, strategies, books, blogs, tutorials for systematic trading.
josephchenhk/qtrader
A Light Event-Driven Algorithmic Trading Engine
UFund-Me/Qbot
[🔥updating ...] AI 自动量化交易机器人(完全本地部署) AI-powered Quantitative Investment Research Platform. 📃 online docs: https://ufund-me.github.io/Qbot ✨ :news: qbot-mini: https://github.com/Charmve/iQuant
ccxt/ccxt
A JavaScript / TypeScript / Python / C# / PHP cryptocurrency trading API with support for more than 100 bitcoin/altcoin exchanges
alibaba-developer78/Run
润学之各主流发达移民国家比较
623637646/996.Leave
逃离996
tsinghua-fib-lab/SIGIR21-SURGE
Official implementation of SIGIR'2021 paper: "Sequential Recommendation with Graph Neural Networks".
Diego999/pyGAT
Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)
acbull/pyHGT
Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric
Wenhui-Yu/LCFN
Codes for papers: 1. Graph Convolutional Network for Recommendation with Low-pass Collaborative Filters (ICML). 2. Less is More: Exploring Simple and Powerful Low-pass Graph Convolutional Network for Recommendation. 3. Self-propagation Graph Neural Network for Recommendation (TKDE).
xiangwang1223/neural_graph_collaborative_filtering
Neural Graph Collaborative Filtering, SIGIR2019
gusye1234/LightGCN-PyTorch
The PyTorch implementation of LightGCN
mli/paper-reading
深度学习经典、新论文逐段精读
dmlc/dgl
Python package built to ease deep learning on graph, on top of existing DL frameworks.
tsinghua-fib-lab/GNN-Recommender-Systems
An index of recommendation algorithms that are based on Graph Neural Networks. (TORS)
zhougr1993/DeepInterestNetwork
wzhe06/Reco-papers
Classic papers and resources on recommendation
shenweichen/DeepCTR-Torch
【PyTorch】Easy-to-use,Modular and Extendible package of deep-learning based CTR models.
RaptorMai/Deep-AutoEncoder-Recommendation
Keras implementation of AutoRec and DeepRecommender from Nvidia.
marlesson/recsys_autoencoders
This project implements different Deep Autoencoder for Collaborative Filtering for Recommendation Systems in Keras
AugustusYu/BPR
Experiments codes for WWW 2018 Poster paper "An Improved Sampler for Bayesian Personalized Ranking by Leveraging View Data "
lpworld/DDTCDR
This is our implementation for the paper: Pan Li and Alexander Tuzhilin. "DDTCDR: Deep Dual Transfer Cross Domain Recommendation." Proceedings of the 13th International Conference on Web Search and Data Mining. 2020
dragen1860/TensorFlow-2.x-Tutorials
TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码,实战教程。
lyhue1991/eat_tensorflow2_in_30_days
Tensorflow2.0 🍎🍊 is delicious, just eat it! 😋😋
snowkylin/tensorflow-handbook
简单粗暴 TensorFlow 2 | A Concise Handbook of TensorFlow 2 | 一本简明的 TensorFlow 2 入门指导教程
princewen/tensorflow_practice
tensorflow实战练习,包括强化学习、推荐系统、nlp等