TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行

此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。

Code for Machine Learning for Algorithmic Trading, 2nd edition.

My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(2000+页)和视频链接

Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning

Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL

验证码识别

This repository contains the exercises and its solution contained in the book "An Introduction to Statistical Learning" in python.

For trading. Please star.

Reinforcement Learning Algorithm Package & PuckWorld, GridWorld Gym environments

Human segmentation models, training/inference code, and trained weights, implemented in PyTorch

Deep RL algorithm in pytorch

Implementations of algorithms from the Q-learning family. Implementations inlcude: DQN, DDQN, Dueling DQN, PER+DQN, Noisy DQN, C51

Pytorch implementation of GRU-ODE-Bayes

Jupyter notebooks for analyzing crypto data

bert annotation, input and output for people from scratch, 代码注释, 有每一步的输入和输出, 适合初学者

A PyTorch port of Google Movenet (inference only)

Contains detailed and extensive notes on quantitative trading, leveraging NLP for finance, backtesting, alpha factor research, portfolio management and optimization.

Performance analysis of predictive (alpha) stock factors

Multi-modal categorization of Age-related Macular Degeneration (4 classes: normal, dry AMD, pcv, wet AMD)

TensorFlow and Numpy implementation of sparsemax

Pytorch code for learning an underlying PDE from given data.

📈 如何用深度强化学习自动炒股

Recommendation algorthm including Feature Enginnering，collaborative filtering

Research on Factor Models, Alpha Generation etc

Pytorch Implementation of Deep Kalman Filter

Code for paper "Identifying Latent Stochastic Differential Equations"