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annotated_deep_learning_paper_implementations

🧑‍🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

autotrading

Algorithmic trading (postgraduate dissertation)

d2l-zh

《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被55个国家的300所大学用于教学。

deep-robust-statistical-arbitrage

This repository stores the implementation of the paper "DETECTING DATA-DRIVEN ROBUST STATISTICAL ARBITRAGE STRATEGIES WITH DEEP NEURAL NETWORKS"

deoldify

A Deep Learning based project for colorizing and restoring old images

di-engine

OpenDILab Decision AI Engine

dlsa-public

Deep Learning Statistical Arbitrage

drl-pm-shorting-and-arbitraging

drlformm

This repository contains the main code used in the paper "Deep Reinforcement Learning for Market Making Under a Hawkes Process-Based Limit Order Book Model"

finrl-pytorch-tushare

gamma-vega-rl-hedging

liquidation-analysis-using-multi-agent-reinforcement-learning-icml-2019

Multi-agent Reinforcement Learning for Liquidation Strategy Analysis. ICML 2019 AI in Finance.

machine-learning-example

我的同名B站和公众号中用到的视频

mathai

一个拍照做题程序。输入一张包含数学计算题的图片，输出识别出的数学计算式以及计算结果。This is a mathematic expression recognition project.

models

Models and examples built with TensorFlow

models-1

Pre-trained and Reproduced Deep Learning Models （经典复现模型）

mosesdecoder

Moses, the machine translation system

pytorch-learn-reinforcement-learning

A collection of various RL algorithms like policy gradients, DQN and PPO. The goal of this repo will be to make it a go-to resource for learning about RL. How to visualize, debug and solve RL problems. I've additionally included playground.py for learning more about OpenAI gym, etc.

qlib

Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research, and create the value of AI technologies in quantitative investment. With Qlib, you can easily try your ideas to create better Quant investment strategies. An increasing number of SOTA Quant research works/papers are released in Qlib.

qlib-server

Qlib-Server is the data server system for Qlib. It enable Qlib to run in online mode. Under online mode, the data will be deployed as a shared data service. The data and their cache will be shared by all the clients. The data retrieval performance is expected to be improved due to a higher rate of cache hits. It will consume less disk space, too.

ray

Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a toolkit of libraries (Ray AIR) for accelerating ML workloads.

robust-risk-aware-rl

Some implementations from the paper robust risk aware reinforcement learning

xlm

PyTorch original implementation of Cross-lingual Language Model Pretraining.