hold on (kaixinbear)

kaixinbear

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Company:Huazhong University of Science and Technology

Location:Wuhan

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hold on's starred repositories

DeepLearning-500-questions

深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系scutjy2015@163.com 版权所有,违权必究 Tan 2018.06

Language:JavaScriptLicense:GPL-3.0Stargazers:54118Issues:2255Issues:188

llama3

The official Meta Llama 3 GitHub site

Language:PythonLicense:NOASSERTIONStargazers:25821Issues:212Issues:230

easy-rl

强化学习中文教程(蘑菇书🍄),在线阅读地址:https://datawhalechina.github.io/easy-rl/

Language:Jupyter NotebookLicense:NOASSERTIONStargazers:8959Issues:78Issues:143

self-llm

《开源大模型食用指南》基于Linux环境快速部署开源大模型,更适合**宝宝的部署教程

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:7549Issues:60Issues:145

pix2pixHD

Synthesizing and manipulating 2048x1024 images with conditional GANs

Language:PythonLicense:NOASSERTIONStargazers:6607Issues:168Issues:313

DeepSeek-Coder

DeepSeek Coder: Let the Code Write Itself

Language:PythonLicense:MITStargazers:6430Issues:67Issues:156

taming-transformers

Taming Transformers for High-Resolution Image Synthesis

Language:Jupyter NotebookLicense:MITStargazers:5673Issues:76Issues:217

self-instruct

Aligning pretrained language models with instruction data generated by themselves.

Language:PythonLicense:Apache-2.0Stargazers:4036Issues:56Issues:19

sam-hq

Segment Anything in High Quality [NeurIPS 2023]

Language:PythonLicense:Apache-2.0Stargazers:3625Issues:79Issues:133

ms-swift

Use PEFT or Full-parameter to finetune 300+ LLMs or 60+ MLLMs. (Qwen2, GLM4v, Internlm2.5, Yi, Llama3.1, Llava-Video, Internvl2, MiniCPM-V-2.6, Deepseek, Baichuan2, Gemma2, Phi3-Vision, ...)

Language:PythonLicense:Apache-2.0Stargazers:3140Issues:21Issues:908

Semantic-SAM

[ECCV 2024] Official implementation of the paper "Semantic-SAM: Segment and Recognize Anything at Any Granularity"

sdfstudio

A Unified Framework for Surface Reconstruction

Language:PythonLicense:Apache-2.0Stargazers:1933Issues:30Issues:272

DeepSeek-Coder-V2

DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code Intelligence

Latte

Latte: Latent Diffusion Transformer for Video Generation.

Language:PythonLicense:Apache-2.0Stargazers:1610Issues:24Issues:98

Awesome-Code-LLM

A curated list of language modeling researches for code and related datasets.

OMG-Seg

OMG-LLaVA and OMG-Seg codebase

Language:PythonLicense:NOASSERTIONStargazers:1201Issues:23Issues:28

CodeGeeX4

CodeGeeX4-ALL-9B, a versatile model for all AI software development scenarios, including code completion, code interpreter, web search, function calling, repository-level Q&A and much more.

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ovsam

[ECCV 2024] The official code of paper "Open-Vocabulary SAM".

Language:PythonLicense:NOASSERTIONStargazers:892Issues:14Issues:35

DrivingDiffusion

Layout-Guided multi-view driving scene video generation with latent diffusion model

Language:PythonLicense:MITStargazers:533Issues:19Issues:11

multidim-positional-encoding

An implementation of 1D, 2D, and 3D positional encoding in Pytorch and TensorFlow

Language:PythonLicense:MITStargazers:518Issues:4Issues:15

PaddleMIX

Paddle Multimodal Integration and eXploration, supporting mainstream multi-modal tasks, including end-to-end large-scale multi-modal pretrain models and diffusion model toolbox. Equipped with high performance and flexibility.

Language:PythonLicense:Apache-2.0Stargazers:288Issues:22Issues:130

Drive-WM

[CVPR 2024] A world model for autonomous driving.

Language:PythonLicense:Apache-2.0Stargazers:275Issues:22Issues:5

UnSAM

Code release for "Segment Anything without Supervision"

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World-Models-Autonomous-Driving-Latest-Survey

A curated list of world models for autonomous driving. Keep updated.

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:105Issues:4Issues:7

LION

Official repository of ”LION: Linear Group RNN for 3D Object Detection in Point Clouds“

Language:PythonLicense:Apache-2.0Stargazers:94Issues:2Issues:8

OpenAnnotate3D

OpenAnnotate3D: Open-Vocabulary Auto-Labeling System for Multi-modal Data

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RepoExec

Benchmark for Repository-Level Code Generation, focus on Executability, Correctness from Test Cases and Usage of Contexts from Cross-file Dependencies

Language:PythonLicense:MITStargazers:17Issues:2Issues:0

pydep

Dependency call extraction tool for Python modules (function, class, import statement)

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