Popular GitHub Repositories for Continuous Normalizing Flows

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

A C library for parsing/normalizing street addresses around the world. Powered by statistical NLP and open geo data.

?? 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 Visual programming for backend logic that integrates with existing codebases. Flyde bridges the gap between technical and non-technical team members. Product managers, designers, and backend developers can collaborate on the same visual flows.

Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)

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.

Awesome resources on normalizing flows.

[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.

Obsei is a low code AI powered automation tool. It can be used in various business flows like social listening, AI based alerting, brand image analysis, comparative study and more .

? ? Use ML to classify flows and packets as benign or malicious. ? ?

Closed-form Continuous-time Neural Networks

Normalizing flows in PyTorch

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