tamell

Continuous-Recurrent-Units

latent_ode

Code for "Latent ODEs for Irregularly-Sampled Time Series" paper

GPflowSampling

Code for efficiently sampling functions from GP(flow) posteriors

NLSB

conditional-flow-matching

TorchCFM: a Conditional Flow Matching library

Matcha-TTS

[ICASSP 2024] 🍵 Matcha-TTS: A fast TTS architecture with conditional flow matching

lidargen

Official implementation of "Learning to Generate Realistic LiDAR Point Clouds" (ECCV 2022)

ZeroNVS

diffusion-point-cloud

:thought_balloon: Diffusion Probabilistic Models for 3D Point Cloud Generation (CVPR 2021)

holo_diffusion

Code repository for the CVPR2023 publication "HoloDiffusion: Training a 3D diffusion model using 2D Images"

3D-aware-Gen

[CSUR 2023] A Survey on Deep Generative 3D-aware Image Synthesis

awesome-3d-diffusion

A collection of papers on diffusion models for 3D generation.

video-diffusion-pytorch

Implementation of Video Diffusion Models, Jonathan Ho's new paper extending DDPMs to Video Generation - in Pytorch

genvs

ControlNet

Let us control diffusion models!

stable-diffusion

A latent text-to-image diffusion model

DiffusionCLIP

[CVPR 2022] Official PyTorch Implementation for DiffusionCLIP: Text-guided Image Manipulation Using Diffusion Models

generalized-diffusion

tinygrad

You like pytorch? You like micrograd? You love tinygrad! ❤️

rlkit

Collection of reinforcement learning algorithms

TrajectoryNet

TrajectoryNet: A Dynamic Optimal Transport Network for Modeling Cellular Dynamics

realant-rl

Reinforcement learning with RealAnt: an open-source low-cost quadruped

D4RL

A collection of reference environments for offline reinforcement learning

diffuser

Code for the paper "Planning with Diffusion for Flexible Behavior Synthesis"

SB-FBSDE

Likelihood Training of Schrödinger Bridge using FBSDEs Theory, ICLR 2022

pyprobml

Python code for "Probabilistic Machine learning" book by Kevin Murphy

annealed_flow_transport

DeterministicParticleFlowControl

Repository for Deterministic Particle Flow Control framework

quickdraw-dataset

Documentation on how to access and use the Quick, Draw! Dataset.

NVAE

The Official PyTorch Implementation of "NVAE: A Deep Hierarchical Variational Autoencoder" (NeurIPS 2020 spotlight paper)