abdullah-alghamdi

Financial-Models-Numerical-Methods

Collection of notebooks about quantitative finance, with interactive python code.

nocobase

NocoBase is a scalability-first, open-source no-code/low-code platform for building business applications and enterprise solutions.

parameterfree

Parameter-Free Optimizers for Pytorch

alpha_stock

Real-Time-Stock-Market-Prediction-using-Ensemble-DL-and-Rainbow-DQN

TradingGym

Trading and Backtesting environment for training reinforcement learning agent or simple rule base algo.

llamafile

Distribute and run LLMs with a single file.

spr

Code for "Data-Efficient Reinforcement Learning with Self-Predictive Representations"

surya

OCR, layout analysis, reading order, line detection in 90+ languages

vllm

A high-throughput and memory-efficient inference and serving engine for LLMs

FinRock

Reinforcement Learning package for Finance

finance-courses

Notes and examples about Portfolio Construction and Analysis with Python (Jupyter notebooks)

RLNonStationary

Demo for the application of RL to non-stationary effects

Embedded-Self-Predictions

We investigate a deep reinforcement learning (RL) architecture that supports explaining why a learned agent prefers one action over another.

rl_simulator

Model-based reinforcement learning (generative simulator models and planning agents)

discrete_abstractions

Source code for Learning Discrete State Abstractions With Deep Variational Inference. Biza, Platt, van de Meent, Wong. AABI'21. https://arxiv.org/abs/2003.04300

byol-pytorch

Usable Implementation of "Bootstrap Your Own Latent" self-supervised learning, from Deepmind, in Pytorch

robohive

A unified framework for robot learning

d4rl-atari

Datasets for data-driven deep reinforcement learning with Atari (wrapper for datasets released by Google)

dm-haiku

JAX-based neural network library

D4RL

A collection of reference environments for offline reinforcement learning

softlearning

Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official implementation of the Soft Actor-Critic algorithm.

optax

Optax is a gradient processing and optimization library for JAX.

rad

RAD: Reinforcement Learning with Augmented Data

coax

This project was moved to: https://github.com/coax-dev/coax

batch_rl

Offline Reinforcement Learning (aka Batch Reinforcement Learning) on Atari 2600 games

class-incremental-learning

PyTorch implementation of AANets (CVPR 2021) and Mnemonics Training (CVPR 2020 Oral)

explainerdashboard

Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.

haiku-scalable-example

Scalable distributed reinforcement learning agents on kubernetes

adeptRL

Reinforcement learning framework to accelerate research