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43 stars written in Jupyter Notebook
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A latent text-to-image diffusion model

Jupyter Notebook 72,872 10,620 Updated Jun 18, 2024

Reference PyTorch implementation and models for DINOv3

Jupyter Notebook 10,084 809 Updated Mar 30, 2026

[NeurIPS 2024 Best Paper Award][GPT beats diffusion🔥] [scaling laws in visual generation📈] Official impl. of "Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction". A…

Jupyter Notebook 8,668 566 Updated Nov 10, 2025

An annotated implementation of the Transformer paper.

Jupyter Notebook 7,181 1,530 Updated Apr 7, 2024

Flax is a neural network library for JAX that is designed for flexibility.

Jupyter Notebook 7,155 797 Updated Apr 10, 2026

NVIDIA Isaac GR00T N1.6 - A Foundation Model for Generalist Robots.

Jupyter Notebook 6,638 1,112 Updated Apr 8, 2026

Qwen2.5-Omni is an end-to-end multimodal model by Qwen team at Alibaba Cloud, capable of understanding text, audio, vision, video, and performing real-time speech generation.

Jupyter Notebook 3,973 323 Updated Jun 12, 2025

[CVPR 2024] 4D Gaussian Splatting for Real-Time Dynamic Scene Rendering

Jupyter Notebook 3,522 344 Updated Oct 27, 2024

Code for "GVHMR: World-Grounded Human Motion Recovery via Gravity-View Coordinates", Siggraph Asia 2024

Jupyter Notebook 1,502 179 Updated Jul 14, 2025

assistant tools for attention visualization in deep learning

Jupyter Notebook 1,265 94 Updated Jun 9, 2022
Jupyter Notebook 1,077 131 Updated Sep 18, 2024

Evaluating and reproducing real-world robot manipulation policies (e.g., RT-1, RT-1-X, Octo) in simulation under common setups (e.g., Google Robot, WidowX+Bridge) (CoRL 2024)

Jupyter Notebook 1,034 186 Updated Dec 20, 2025

🍌 The official starter kit for the Nano Banana Hackathon. Clone this repo to get building fast!

Jupyter Notebook 1,025 174 Updated Sep 8, 2025

Data preparation and loader for AMASS

Jupyter Notebook 956 98 Updated Jul 25, 2024

The official implementation for [NeurIPS2025 Oral] Gated Attention for Large Language Models: Non-linearity, Sparsity, and Attention-Sink-Free

Jupyter Notebook 929 57 Updated Dec 20, 2025

A pytorch implementation of the vector quantized variational autoencoder (https://arxiv.org/abs/1711.00937)

Jupyter Notebook 891 105 Updated Dec 8, 2022

RynnBrain: Open Embodied Foundation Models

Jupyter Notebook 720 67 Updated Mar 10, 2026

Ego4d dataset repository. Download the dataset, visualize, extract features & example usage of the dataset

Jupyter Notebook 575 58 Updated Apr 8, 2026

DreamGen: Nvidia GEAR Lab's initiative to solve the robotics data problem using world models

Jupyter Notebook 525 52 Updated Oct 24, 2025
Jupyter Notebook 472 33 Updated Sep 26, 2024

DrQ: Data regularized Q

Jupyter Notebook 420 54 Updated Jan 13, 2023

An open-source toolbox for fast sampling of diffusion models. Official implementations of our works published in ICML, NeurIPS, CVPR, J. Stat. Mech.

Jupyter Notebook 359 18 Updated Nov 25, 2025

FlexTok: Resampling Images into 1D Token Sequences of Flexible Length

Jupyter Notebook 310 13 Updated Jun 2, 2025

Evaluating and reproducing real-world robot manipulation policies (e.g., RT-1, RT-1-X, Octo, and OpenVLA) in simulation under common setups (e.g., Google Robot, WidowX+Bridge)

Jupyter Notebook 269 45 Updated Jun 23, 2025

[ICML 2020] PyTorch Code for "One Policy to Control Them All: Shared Modular Policies for Agent-Agnostic Control"

Jupyter Notebook 234 34 Updated Dec 27, 2022

Official Code for What can Large Language Models do in chemistry? A comprehensive benchmark on eight tasks (In NeurIPS 2023)

Jupyter Notebook 171 7 Updated Jul 26, 2024

ICCV2025

Jupyter Notebook 165 9 Updated Dec 10, 2025

Official codebase for the paper "How to build a consistency model: Learning flow maps via self-distillation" (NeurIPS 2025).

Jupyter Notebook 103 6 Updated Oct 8, 2025

WorldArena: A Unified Benchmark for Evaluating Perception and Functional Utility of Embodied World Models

Jupyter Notebook 101 4 Updated Apr 9, 2026

Implementation of the MetaController proposed in "Emergent temporal abstractions in autoregressive models enable hierarchical reinforcement learning" from the Paradigms of Intelligence team at Google

Jupyter Notebook 97 12 Updated Mar 31, 2026
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