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alphagodemo

An independent, student-led replication of DeepMind's 2016 Nature publication, "Mastering the game of Go with deep neural networks and tree search" (Nature 529, 484-489, 28 Jan 2016), details of which can be found on their website https://deepmind.com/publications.html.

alphalens

Performance analysis of predictive (alpha) stock factors

awesome-systematic-trading

A curated list of awesome libraries, packages, strategies, books, blogs, tutorials for systematic trading.

baselines-rudder

RUDDER for ATARI games with delayed rewards in OpenAI Baselines package

bayesian-torch

Bayesian-Torch is a library of neural network layers and utilities extending the core of PyTorch to enable the user to perform stochastic variational inference in Bayesian deep neural networks

bazel

a fast, scalable, multi-language and extensible build system

birthdeath

Modelling branching times in phylogenies using birth-death processes and probabilistic programming

bitcoin

Bitcoin Core integration/staging tree

blitz-bayesian-deep-learning

A simple and extensible library to create Bayesian Neural Network layers on PyTorch.

chatgpt

Reverse engineered ChatGPT API

colossalai

Making big AI models cheaper, easier, and more scalable

concurrentqueue

A fast multi-producer, multi-consumer lock-free concurrent queue for C++11

cpp_multithreaded_order_matching_engine

Multithreaded order matching engine in C++11 using FIX protocol for Linux/Windows

crypto-rl

Deep Reinforcement Learning toolkit: record and replay cryptocurrency limit order book data & train a DDQN agent

d4pg-pytorch

PyTorch implementation of Distributed Distributional Deterministic Policy Gradients (https://arxiv.org/abs/1804.08617)

ddpg-keras-torcs

Using Keras and Deep Deterministic Policy Gradient to play TORCS

deep-reinforcement-learning-with-pytorch

PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....

deeplearningnotes

机器学习和量化分析学习进行中

dpdk-rte_ring

从dpdk里面扒下来的ret_ring

drl-code-pytorch

Concise pytorch implements of DRL algorithms, including REINFORCE, A2C, DQN, PPO(discrete and continuous), DDPG, TD3, SAC.

dynamic-nelson-siegel-and-svensson

Dynamic Nelson-Siegel and Svensson in two steps

empyrical

Common financial risk and performance metrics. Used by zipline and pyfolio.

gep

grf_mappo

hjb_nn

A framework for designing optimal feedback controllers using physics-driven machine learning.

hjb_solvers

A range of Hamilton–Jacobi–Bellman (HJB) solvers. Solve optimisation problems with dynamic programming.

ie

IE

lftpool

Lock-Free Thread Pool

math

ns_yc_app

Nelson-Siegel Yield Curve bokeh app