MobileLLM Optimizing Sub-billion Parameter Language Models for On-Device Use Cases. In ICML 2024.

Mamba SSM architecture

AI Accelerator Benchmark focuses on evaluating AI Accelerators from a practical production perspective, including the ease of use and versatility of software and hardware.

Everything we actually know about the Apple Neural Engine (ANE)

OpenXRLab Multi-view Motion Capture Toolbox and Benchmark

Automatic 3D Character animation using Pose Estimation and Landmark Generation techniques

Code release of Video2Game

Code for the paper MultiPhys: Multi-Person Physics-aware 3D Motion Estimation (CVPR 2024)

dotfiles go brrr

Multi-DNN Inference Engine for Heterogeneous Mobile Processors

collect papers about human motion capture

A fast and flexible implementation of Rigid Body Dynamics algorithms and their analytical derivatives

🦀 Small exercises to get you used to reading and writing Rust code!

[CVPR 2024✨Highlight] Official repository for HOLD, the first method that jointly reconstructs articulated hands and objects from monocular videos without assuming a pre-scanned object template and…

Fast Multimodal LLM on Mobile Devices

This is a collection of our NAS and Vision Transformer work.

AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.

The Qualcomm® AI Hub Models are a collection of state-of-the-art machine learning models optimized for performance (latency, memory etc.) and ready to deploy on Qualcomm® devices.

MNN is a blazing fast, lightweight deep learning framework, battle-tested by business-critical use cases in Alibaba

🐚 OpenDevin: Code Less, Make More

Grounded-SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything

[ICLR 2024] DFormer: Rethinking RGBD Representation Learning for Semantic Segmentation

AsymFormer: Asymmetrical Cross-Modal Representation Learning for Mobile Platform Real-Time RGB-D Semantic Segmentation

TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

[AAAI 2023] Tracking and Reconstructing Hand Object Interactions from Point Cloud Sequences in the Wild

Python code to fuse multiple RGB-D images into a TSDF voxel volume.

State-of-the-art, simple, fast unbounded / large-scale NeRFs.

A comprehensive list of Implicit Representations and NeRF papers relating to Robotics/RL domain, including papers, codes, and related websites

Pytorch code for ECCV'22 paper. ShAPO: Implicit Representations for Multi-Object Shape, Appearance and Pose Optimization