kohinoor23 / How-Diffusion-Models-WorkLinks
Notes from How Diffusion Models Work by DeepLearning.ai
☆27Updated last year
Alternatives and similar repositories for How-Diffusion-Models-Work
Users that are interested in How-Diffusion-Models-Work are comparing it to the libraries listed below
Sorting:
- Pytorch implementation of "Genie: Generative Interactive Environments", Bruce et al. (2024).☆259Updated last year
- F3RM: Feature Fields for Robotic Manipulation. Official repo for the paper "Distilled Feature Fields Enable Few-Shot Language-Guided Mani…☆217Updated last year
- Official implementation of CVPR23 paper "Diffusion-based Generation, Optimization, and Planning in 3D Scenes"☆411Updated 2 years ago
- Cosmos-Predict1 is a collection of general-purpose world foundation models for Physical AI that can be fine-tuned into customized world m…☆404Updated last month
- ☆83Updated 3 weeks ago
- Codebase for Automated Creation of Digital Cousins for Robust Policy Learning☆238Updated 10 months ago
- Creating a diffusion model from scratch in PyTorch to learn exactly how they work.☆393Updated 10 months ago
- The official implementation of flow Q-learning (FQL)☆275Updated 6 months ago
- Code for the paper "Training Diffusion Models with Reinforcement Learning"☆551Updated 2 years ago
- Physical laws underpin all existence, and harnessing them for generative modeling opens boundless possibilities for advancing science and…☆267Updated last month
- Implementation of Diffusion Policy, Toyota Research's supposed breakthrough in leveraging DDPMs for learning policies for real-world Robo…☆134Updated last year
- Implementation of Flow Policy Optimization (FPO)☆343Updated 3 weeks ago
- A Variational PointNet Encoder Decoder for 3D Point Cloud data☆19Updated 2 years ago
- Implementation of π₀, the robotic foundation model architecture proposed by Physical Intelligence☆563Updated last week
- An ML research template with good documentation by Boyuan Chen, an MIT PhD student☆128Updated 11 months ago
- ☆169Updated 11 months ago
- ☆494Updated 3 months ago
- DDPO for finetuning diffusion models, implemented in PyTorch with LoRA support☆740Updated last year
- Code for ICLR 2023 paper "Imitating Human Behaviour with Diffusion Models"☆156Updated last year
- Code for "Differentiable Robot Rendering" (CoRL 2024)☆173Updated 10 months ago
- ☆141Updated 7 months ago
- Mirage: a zero-shot cross-embodiment policy transfer method. Benchmarking code for cross-embodiment policy transfer.☆33Updated last year
- DynaMo: In-Domain Dynamics Pretraining for Visuo-Motor Control☆118Updated last year
- Official implementation of "Data Scaling Laws in Imitation Learning for Robotic Manipulation"☆202Updated last year
- Official code for "Behavior Generation with Latent Actions" (ICML 2024 Spotlight)☆197Updated last year
- Official repository of Learning to Act from Actionless Videos through Dense Correspondences.☆247Updated last year
- A Comprehensive Survey on World Models for Embodied AI☆209Updated 3 months ago
- code for "Diffusion Forcing: Next-token Prediction Meets Full-Sequence Diffusion"☆1,152Updated 3 months ago
- Heterogeneous Pre-trained Transformer (HPT) as Scalable Policy Learner.☆524Updated last year
- Nvidia GEAR Lab's initiative to solve the robotics data problem using world models☆461Updated 3 months ago