Popular GitHub Repositories for Normalising Flows

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)

TorchCFM: a Conditional Flow Matching library

Awesome resources on normalizing flows.

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. ? ?

Normalizing flows in PyTorch

PointFlow : 3D Point Cloud Generation with Continuous Normalizing Flows

Pytorch Implementation (unofficial) of the paper "Mean Flows for One-step Generative Modeling" by Geng et al.

An extension of XGBoost to probabilistic modelling

Integrate LLM in any pipeline - fit/predict pattern, JSON driven flows, and built in concurency support.

Differentiable Fluid Dynamics Package

Normalizing flows in PyTorch

DGMs for NLP. A roadmap.

PyTorch Implementation of PortaSpeech: Portable and High-Quality Generative Text-to-Speech

An extension of LightGBM to probabilistic modelling

A bot works with OpenAI GPT models to provide insights for your info flows.

Normalizing-flow enhanced sampling package for probabilistic inference in Jax

Run AI workflows with TypeScript & Vercel AI SDK

Network-to-Network Translation with Conditional Invertible Neural Networks