Normalizing Flows PyTorch ML Frameworks
PyTorch implementations of normalizing flows and flow-matching algorithms for density estimation and generative modeling. Does NOT include general generative models (diffusion, VAEs, GANs), reinforcement learning with flows, or physics simulations.
There are 32 normalizing flows pytorch frameworks tracked. 4 score above 50 (established tier). The highest-rated is lucidrains/rectified-flow-pytorch at 69/100 with 426 stars and 1,635 monthly downloads.
Get all 32 projects as JSON
curl "https://pt-edge.onrender.com/api/v1/datasets/quality?domain=ml-frameworks&subcategory=normalizing-flows-pytorch&limit=20"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
| # | Framework | Score | Tier |
|---|---|---|---|
| 1 |
lucidrains/rectified-flow-pytorch
Implementation of rectified flow and some of its followup research /... |
|
Established |
| 2 |
probabilists/zuko
Normalizing flows in PyTorch |
|
Established |
| 3 |
davidnabergoj/torchflows
Modern normalizing flows in Python. Simple to use and easily extensible. |
|
Established |
| 4 |
keishihara/flow-matching
Flow Matching implemented in PyTorch |
|
Established |
| 5 |
LukasRinder/normalizing-flows
Implementation of normalizing flows in TensorFlow 2 including a small tutorial. |
|
Emerging |
| 6 |
janosh/awesome-normalizing-flows
Awesome resources on normalizing flows. |
|
Emerging |
| 7 |
Coldog2333/pytoflow
The py version of toflow → https://github.com/anchen1011/toflow |
|
Emerging |
| 8 |
ikostrikov/pytorch-flows
PyTorch implementations of algorithms for density estimation |
|
Emerging |
| 9 |
abdulfatir/normalizing-flows
Understanding normalizing flows |
|
Emerging |
| 10 |
kamenbliznashki/normalizing_flows
Pytorch implementations of density estimation algorithms: BNAF, Glow, MAF,... |
|
Emerging |
| 11 |
scikit-mobility/DeepGravity
a PyTorch implementation of the paper "Deep Gravity: enhancing mobility... |
|
Emerging |
| 12 |
Efficient-Scalable-Machine-Learning/event-ssm
Official implementation of our paper "Scalable Event-by-event Processing of... |
|
Emerging |
| 13 |
senya-ashukha/real-nvp-pytorch
Real NVP PyTorch a Minimal Working Example | Normalizing Flow |
|
Emerging |
| 14 |
buettnerlab/convexgating
Optimal gating strategies for flow and mass cytometry. |
|
Emerging |
| 15 |
mathisgerdes/continuous-flow-lft
Continuous normalizing flow for lattice quantum field theory |
|
Emerging |
| 16 |
DanielEftekhari/normality-normalization
Code accompanying the ICML 2025 paper "On the Importance of Gaussianizing... |
|
Emerging |
| 17 |
UditBhaskar19/GRAPH_NEURAL_NETWORK_FOR_RADAR_PERCEPTION
Multi-task learning using message passing graph neural network for radar... |
|
Emerging |
| 18 |
fangzr/SSM-PC
The code repository for our paper "Shared Spatial Memory Through Predictive Coding". |
|
Emerging |
| 19 |
stevenygd/NFGP
Pytorch implementation of NeurIPS 2021 paper: Geometry Processing with Neural Fields. |
|
Emerging |
| 20 |
TrentBrick/PyTorchDiscreteFlows
Discrete Normalizing Flows implemented in PyTorch |
|
Emerging |
| 21 |
minaskar/sinflow
Sliced Iterative Normalizing Flow with Minimal Dependencies |
|
Emerging |
| 22 |
volagold/fce-2d
Flow Contrastive Estimation (FCE) PyTorch Implementation on 2D data |
|
Experimental |
| 23 |
tgritsaev/gflownet-tlm
The source code for the paper "Optimizing Backward Policies in GFlowNets via... |
|
Experimental |
| 24 |
d-tiapkin/gflownet-rl
Repository for "Generative Flow Networks as Entropy-Regularized RL"... |
|
Experimental |
| 25 |
yixuan/temperflow
Efficient Multimodal Sampling via Tempered Distribution Flow |
|
Experimental |
| 26 |
honglinwen/Conditional-normalizing-flow-for-wind-power-forecasting
Code for paper "Continuous and Distribution-free Probabilistic Wind Power... |
|
Experimental |
| 27 |
EricZhang1412/Spatial-temporal-ERF
Official repo for NeurIPS 2025 poster: Unveiling the Spatial-temporal... |
|
Experimental |
| 28 |
aliutkus/groupmap
GroupMap: beyond mean and variance matching for deep learning |
|
Experimental |
| 29 |
Boketto-rgb/min-pi-flow
🔍 Implement flow matching for efficient few-step generation with this... |
|
Experimental |
| 30 |
ascillitoe/flowfield-approx
Supplementary material for the 2021 paper "Polynomial Ridge Flowfield Estimation". |
|
Experimental |
| 31 |
laurentperrinet/2024-12-09-normalizing-images-in-convolutional-neural-networks
Understanding Image Normalization in CNNs |
|
Experimental |
| 32 |
pfilo8/TreeFlow
This repository contains the code and resources related to the research... |
|
Experimental |