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머신러닝 · GitHub

모델 학습, 평가, 추론 프레임워크를 찾고 커뮤니티의 관심도를 비교하세요.

유용한 GitHub 프로젝트

7,807 프로젝트

learning3d

vinits5

858스타

This is a complete package of recent deep learning methods for 3D point clouds in pytorch (with pretrained models).

faceai

vipstone

11,099스타
faceai preview

一款入门级的人脸、视频、文字检测以及识别的项目.

openvals

vishwanathakuthota

52스타
openvals preview

Open-source AI model evaluation and benchmarking framework for LLMs (OpenAI, Ollama, Claude, Gemini)

3DCoMPaT-v2

Vision-CAIR

99스타
3DCoMPaT-v2 preview

3DCoMPaT++: An improved large-scale 3D vision dataset for compositional recognition

머신러닝PythonBSD-3-ClauseGitHub

VisionPilot

visionpilot-project

43스타
VisionPilot preview

Open-source modular autonomous driving simulation platform with computer vision, deep learning, and sensor fusion. Features lane detection, object recognition, various safety features, and adaptive control in BeamNG.tech, with real-time visualization via Foxglove.

SegNeXt

Visual-Attention-Network

896스타
SegNeXt preview

Official Pytorch implementations for "SegNeXt: Rethinking Convolutional Attention Design for Semantic Segmentation" (NeurIPS 2022)

머신러닝PythonApache-2.0GitHub

fastdup

visual-layer

1,916스타
fastdup preview

fastdup is a powerful, free tool designed to rapidly generate valuable insights from image and video datasets. It helps enhance the quality of both images and labels, while significantly reducing data operation costs, all with unmatched scalability.

  • Quality: High-quality analysis to identify duplicates/near-duplicates, outliers, mislabels, broken images, and low-quality images.
  • Scale: Highly scalable, capable of processing 400M images on a single CPU machine. Scales up to billions of images.

RadQy

viswanath-lab

126스타
RadQy preview

RadQy is a quality assurance and checking tool for quantitative assessment of magnetic resonance imaging (MRI) and computed tomography (CT) data.

  • MRI and CT quality assessment
  • DICOM metadata/tag extraction

monoloco

vita-epfl

462스타
monoloco preview

A 3D vision library from 2D keypoints: monocular and stereo 3D detection for humans, social distancing, and body orientation.

DeblurGANv2

VITA-Group

1,197스타
DeblurGANv2 preview

[ICCV 2019] "DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better" by Orest Kupyn, Tetiana Martyniuk, Junru Wu, Zhangyang Wang

EnlightenGAN

VITA-Group

1,097스타
EnlightenGAN preview

[IEEE TIP] "EnlightenGAN: Deep Light Enhancement without Paired Supervision" by Yifan Jiang, Xinyu Gong, Ding Liu, Yu Cheng, Chen Fang, Xiaohui Shen, Jianchao Yang, Pan Zhou, Zhangyang Wang

FasterSeg

VITA-Group

528스타

[ICLR 2020] "FasterSeg: Searching for Faster Real-time Semantic Segmentation" by Wuyang Chen, Xinyu Gong, Xianming Liu, Qian Zhang, Yuan Li, Zhangyang Wang

TransGAN

VITA-Group

1,694스타
TransGAN preview

[NeurIPS‘2021] "TransGAN: Two Pure Transformers Can Make One Strong GAN, and That Can Scale Up", Yifan Jiang, Shiyu Chang, Zhangyang Wang

ViTDet

ViTAE-Transformer

584스타

Unofficial implementation for [ECCV'22] "Exploring Plain Vision Transformer Backbones for Object Detection"

머신러닝PythonApache-2.0GitHub

ViTPose

ViTAE-Transformer

2,218스타
ViTPose preview

The official repo for [NeurIPS'22] "ViTPose: Simple Vision Transformer Baselines for Human Pose Estimation" and [TPAMI'23] "ViTPose++: Vision Transformer for Generic Body Pose Estimation"

머신러닝PythonApache-2.0GitHub

img2pose

vitoralbiero

614스타
img2pose preview

The official PyTorch implementation of img2pose: Face Alignment and Detection via 6DoF, Face Pose Estimation - CVPR 2021

LilHomie

Viveckh

110스타

A Machine Learning Project implemented from scratch which involves web scraping, data engineering, exploratory data analysis and machine learning to predict housing prices in New York Tri-State Area.

머신러닝Jupyter NotebookGitHub