Popular GitHub Repositories for Continuous Con

An open-source runtime for composable workflows. Great for AI agents and CI/CD.

?? CML - Continuous Machine Learning | CI/CD for ML

Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production.

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).

Open-Source Large Vocabulary Continuous Speech Recognition Engine

TorchCFM: a Conditional Flow Matching library

MLRun is an open source MLOps platform for quickly building and managing continuous ML applications across their lifecycle. MLRun integrates into your development and CI/CD environment and automates the delivery of production data, ML pipelines, and online applications.

[NeurIPS 2023 Spotlight] LightZero: A Unified Benchmark for Monte Carlo Tree Search in General Sequential Decision Scenarios (awesome MCTS)

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

Learning Continuous Image Representation with Local Implicit Image Function, in CVPR 2021 (Oral)

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

Closed-form Continuous-time Neural Networks

A Python API for accessing resources and configuring Hudson & Jenkins continuous-integration servers

The Fastest Deep Reinforcement Learning Library

PointFlow : 3D Point Cloud Generation with Continuous Normalizing Flows

Curso de Introducción a Machine Learning con Python

MDPs and POMDPs in Julia - An interface for defining, solving, and simulating fully and partially observable Markov decision processes on discrete and continuous spaces.

JAX (Flax) implementation of algorithms for Deep Reinforcement Learning with continuous action spaces.

? A portable, header-only, artificial neural network library written in C99

PyTorch Re-Implementation of "Generating Sentences from a Continuous Space" by Bowman et al 2015 https://arxiv.org/abs/1511.06349