zlj-cs's Stars
thertrader/Lobster-Python-Demo-Code
Python demo code for LOBSTER limit order book data
google-research/torchsde
Differentiable SDE solvers with GPU support and efficient sensitivity analysis.
rtqichen/torchdiffeq
Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.
llSourcell/Neural_Differential_Equations
This is the code for "Neural DIfferential Equations" By Siraj Raval on Youtube
msurtsukov/neural-ode
Jupyter notebook with Pytorch implementation of Neural Ordinary Differential Equations
2024baibai/flask_multi_uploader
flask+webuploader实现多文件上传
AaronCosmos/wdcnn_bearning_fault_diagnosis
wdcnn轴承故障模型
keras-team/autokeras
AutoML library for deep learning
fulifeng/Temporal_Relational_Stock_Ranking
Code for paper "Temporal Relational Ranking for Stock Prediction"
borisbanushev/stockpredictionai
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.
Rockyzsu/stock
30天掌握量化交易 (持续更新)
autoliuweijie/DeepLearning
Some practices about deep learning
keon/policy-gradient
Minimal Monte Carlo Policy Gradient (REINFORCE) Algorithm Implementation in Keras
AI4Finance-Foundation/FinRL-Trading
For trading. Please star.
philipxjm/Deep-Convolution-Stock-Technical-Analysis
Uses Deep Convolutional Neural Networks (CNNs) to model the stock market using technical analysis. Predicts the future trend of stock selections.
AshengLin/FDRNN
Deep Direct Reinforcement Learning for Financial Signal Representation and Trading(http://cslt.riit.tsinghua.edu.cn/mediawiki/images/a/aa/07407387.pdf)
Marigold/universal-portfolios
Collection of algorithms for online portfolio selection
reinforcement-learning-kr/pg_travel
Policy Gradient algorithms (REINFORCE, NPG, TRPO, PPO)
ZhengyaoJiang/PGPortfolio
PGPortfolio: Policy Gradient Portfolio, the source code of "A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem"(https://arxiv.org/pdf/1706.10059.pdf).
LiuBoyu/blockchain
区块链 - 中文资源
robertmartin8/PyPortfolioOpt
Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity
jc-LeeHub/Recommend-System-tf2.0
原理解析及代码实战,推荐算法也可以很简单 🔥 想要系统的学习推荐算法的小伙伴,欢迎 Star 或者 Fork 到自己仓库进行学习🚀 有任何疑问欢迎提 Issues,也可加文末的联系方式向我询问!
BetterBench/-TensorFolwNotebook-from-Peking-University
该源码是北京大学公开课TensorFlow1.x的网课中源码的汇总,也包括了网课中小组成员的实战项目源码
recommenders-team/recommenders
Best Practices on Recommendation Systems
qiangyonglong/tensorflow_practice
tensorflow实战练习,包括强化学习、推荐系统、nlp等
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。
KJ-Waller/DQN-PyTorch-Breakout
An attempt at recreating DeepMind's implementation of Deep Q Learning on Atari Breakout using PyTorch
openai/baselines
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
openai/spinningup
An educational resource to help anyone learn deep reinforcement learning.
MrSyee/pg-is-all-you-need
Policy Gradient is all you need! A step-by-step tutorial for well-known PG methods.