1537 Open source projects that are alternatives of or similar to Trax

Use AI to generate a optimized stock portfolio

A curated list of Monte Carlo tree search papers with implementations.

Code base for solving Markov Decision Processes and Reinforcement Learning problems using Recurrent Convolutional Neural Networks.

Playing Mario with Deep Reinforcement Learning

npm-svgs2fonts。svg图标转字体图标库（svgs -> svg,ttf,eot,woff,woff2），nodejs。

General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python

Python (pytorch) code for Lu, Q., Hasson U. & Norman K. A. (2021). When to retrieve and encode episodic memories: a neural network model of hippocampal-cortical interaction.

Reaver: Modular Deep Reinforcement Learning Framework. Focused on StarCraft II. Supports Gym, Atari, and MuJoCo.

Code repository for SARNet: Learning Multi-Agent Communication through Structured Attentive Reasoning (NeurIPS 2020)

Multi-Agent Resource Optimization (MARO) platform is an instance of Reinforcement Learning as a Service (RaaS) for real-world resource optimization problems.

yolo(all versions) implementation in keras and tensorflow 2.4

[NeurIPS 2021] Galerkin Transformer: a linear attention without softmax

Simple 3D interior simulator for RL & robotics research

This Repository contains a series of google colab notebooks which I created to help people dive into deep reinforcement learning.This notebooks contain both theory and implementation of different algorithms.

Collect some papers about transformer with vision. Awesome Transformer with Computer Vision (CV)

One Person, One Model, One World: Learning Continual User Representation without Forgetting

Implementation of State-of-the-art Text Classification Models in Pytorch

[INACTIVE] A collection of various machine learning solver. The library is an object-oriented approach (baked with Typescript) and tries to deliver simplified interfaces that make using the algorithms pretty simple.

Deep Reinforcement Learning based Trading Agent for Bitcoin

End-to-end pipeline with TFX to train and deploy a BERT model for sentiment analysis.

TensorFlow implementation of the Value Iteration Networks (NIPS '16) paper

S-RL Toolbox: Reinforcement Learning (RL) and State Representation Learning (SRL) for Robotics

A reinforcement learning environment for self-driving cars in the browser.

Implementation of the GBST block from the Charformer paper, in Pytorch

Open Machine Learning course at MIPT

We can lock and unlock our Ubuntu system using face recognition(currently only on Ubuntu).

HoME: a Household Multimodal Environment is a platform for artificial agents to learn from vision, audio, semantics, physics, and interaction with objects and other agents, all within a realistic context.

A small library for creating and manipulating custom JAX Pytree classes

The most simple, flexible, and comprehensive OpenAI Gym trading environment (Approved by OpenAI Gym)

Implementation of Linformer for Pytorch

In this paper, we implement three state-of-art continuous reinforcement learning algorithms, Deep Deterministic Policy Gradient (DDPG), Proximal Policy Optimization (PPO) and Policy Gradient (PG)in portfolio management.

Implementation of https://srush.github.io/annotated-s4

NLP Paper

A pytorch tutorial for DRL(Deep Reinforcement Learning)

Sparse multi-dimensional arrays for the PyData ecosystem

Mutate Laravel attributes

Reinforcement Learning for Portfolio Management

Personalizing Dialogue Agents via Meta-Learning

A curated list of awesome links and software libraries that are useful for robots.

Open-source benchmark datasets and pretrained transformer models in the Filipino language.

Neural question generation using transformers

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

Deep-learning by using Pytorch. Basic nns like Logistic, CNN, RNN, LSTM and some examples are implemented by complex model.

📘 A comprehensive handbook on how to create transformers for TypeScript with code examples

Open-source reinforcement learning environment for autonomous racing.

Abstractive summarisation using Bert as encoder and Transformer Decoder

Implementation of Inverse Reinforcement Learning (IRL) algorithms in python/Tensorflow. Deep MaxEnt, MaxEnt, LPIRL

Notes for the Reinforcement Learning course by David Silver along with implementation of various algorithms.

NumPy & SciPy for GPU

A collection of reference machine learning and optimization models for enterprise operations: marketing, pricing, supply chain

Deep Reinforcement Learning for the JVM (Deep-Q, A3C)

Content from the University of British Columbia's Master of Data Science course DSCI 511.

Simple library to make working with STL files (and 3D objects in general) fast and easy.

FinRL: The first open-source project for financial reinforcement learning. Please star. 🔥

Asynchronous Methods for Deep Reinforcement Learning

TypeScript transformer for improving the debugging experience of styled-components

Turbodbc is a Python module to access relational databases via the Open Database Connectivity (ODBC) interface. The module complies with the Python Database API Specification 2.0.

PyTorch implementation of Neural Combinatorial Optimization with Reinforcement Learning https://arxiv.org/abs/1611.09940

RAISIM, A PHYSICS ENGINE FOR ROBOTICS AND AI RESEARCH

A collection of view pager transformers