WangHewei16

WangHewei16's Stars

• hiyouga/LLaMA-Factory

  Unified Efficient Fine-Tuning of 100+ LLMs (ACL 2024)

  Language:Python34.8k2135.3k4.3k

• apple/ml-stable-diffusion

  Stable Diffusion with Core ML on Apple Silicon

  Language:Python16.9k140250947

• cupy/cupy

  NumPy & SciPy for GPU

  Language:Python9.5k1282.3k855

• MadcowD/ell

  A language model programming library.

  Language:Python5.3k52268312

• hijkzzz/Awesome-LLM-Strawberry

  A collection of LLM papers, blogs, and projects, with a focus on OpenAI o1 and reasoning techniques.

  5.3k869287

• awslabs/mountpoint-s3

  A simple, high-throughput file client for mounting an Amazon S3 bucket as a local file system.

  Language:Rust4.7k48331164

• meta-llama/llama-stack

  Composable building blocks to build Llama Apps

  Language:Python4.6k130166589

• apple/ml-depth-pro

  Depth Pro: Sharp Monocular Metric Depth in Less Than a Second.

  Language:Python3.7k4155249

• ictnlp/LLaMA-Omni

  LLaMA-Omni is a low-latency and high-quality end-to-end speech interaction model built upon Llama-3.1-8B-Instruct, aiming to achieve speech capabilities at the GPT-4o level.

  Language:Python2.6k2847174

• jy0205/Pyramid-Flow

  Code of Pyramidal Flow Matching for Efficient Video Generative Modeling

  Language:Python2.4k41151234

• HandsOnLLM/Hands-On-Large-Language-Models

  Official code repo for the O'Reilly Book - "Hands-On Large Language Models"

  Language:Jupyter Notebook2.3k308458

• apple/axlearn

  An Extensible Deep Learning Library

  Language:Python1.9k6316269

• kangfenmao/cherry-studio

  🍒 Cherry Studio is a desktop client that supports for multiple LLM providers

  Language:TypeScript1.5k925682

• azuwis/pianotrans

  Simple GUI for ByteDance's Piano Transcription with Pedals

  Language:Nix1.1k1420124

• ryanbgriffiths/ICRA2024PaperList

  ICRA2024 Paper List

  4534529

• LeCAR-Lab/dial-mpc

  Official implementation for the paper "Full-Order Sampling-Based MPC for Torque-Level Locomotion Control via Diffusion-Style Annealing". DIAL-MPC is a novel sampling-based MPC framework for legged robot full-order torque-level control with both precision and agility in a training-free manner.

  Language:Python3898639

• princeton-nlp/AutoCompressors

  [EMNLP 2023] Adapting Language Models to Compress Long Contexts

  Language:Python27892520

• LeCAR-Lab/human2humanoid

  [IROS 2024] Learning Human-to-Humanoid Real-Time Whole-Body Teleoperation. [CoRL 2024] OmniH2O: Universal and Dexterous Human-to-Humanoid Whole-Body Teleoperation and Learning

  Language:Python27521613

• zhaofuq/LOD-3DGS

  LetsGo: Large-Scale Garage Modeling and Rendering via LiDAR-Assisted Gaussian(Published in SIGGRAPH Asia 2024)

  Language:Python24891732

• 3DTopia/GPTEval3D

  [ CVPR 2024 ] Implementation for "GPT-4V(ision) is a Human-Aligned Evaluator for Text-to-3D Generation"

  Language:Python2341135

• basilevh/gcd

  Generative Camera Dolly: Extreme Monocular Dynamic Novel View Synthesis (ECCV 2024 Oral) - Official Implementation

  Language:Python18315103

• duducosmos/defisheye

  Fast Corrects for fisheye distortion in an image.

  Language:Python1654624

• snuvclab/ParaHome

  Parameterizing Everyday Home Activities Towards 3D Generative Modeling of Human-Object Interactions

  Language:Python1291070

• facebookresearch/scenescript

  Public code release associated with SceneScript.

  Language:Python1124438

• IRMVLab/SNI-SLAM

  [CVPR'24] SNI-SLAM: Semantic Neural Implicit SLAM

  Language:Python1048121

• xichen-fy/Fira

  Fira: Can We Achieve Full-rank Training of LLMs Under Low-rank Constraint?

  Language:Python842

• myshell-ai/ShellAgent

  Powerful, open, and modular Agentic Framework

  Language:TypeScript402

• NahyukLEE/pmtr

  [ICML'24] Official Implementation for "3D Geometric Shape Assembly via Efficient Point Cloud Matching"

  Language:Python27650

• nianticlabs/HandDGP

  [ECCV 2024] HandDGP: Camera-Space Hand Mesh Prediction with Differentiable Global Positioning

  Language:Python201

• Leoleojames1/Agent_Chef

  🍲Agent Chef🥘 is my robust tool for dataset refinement, structuring, and generation. By leveraging procedural and synthetic dataset generation techniques, Agent Chef will enable users to refine and clean their fine-tuning data, eliminating data poisoning and low-quality knowledge bases. Additionally, it will provide templates, and frameworks.

  Language:TeX163