YunmeiHuanghi

YunmeiHuanghi's Stars

• Significant-Gravitas/AutoGPT

  AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

  Language:Python169k44.6k

• SkalskiP/transformers

  Everything you need to know about Transformers! 🤖

  1274

• open-mmlab/mmdetection

  OpenMMLab Detection Toolbox and Benchmark

  Language:Python29.8k9.5k

• dingjiansw101/AerialDetection

  Language:Python804184

• ChaoningZhang/MobileSAM

  This is the official code for MobileSAM project that makes SAM lightweight for mobile applications and beyond!

  Language:Jupyter Notebook4.9k505

• open-mmlab/mmyolo

  OpenMMLab YOLO series toolbox and benchmark. Implemented RTMDet, RTMDet-Rotated,YOLOv5, YOLOv6, YOLOv7, YOLOv8,YOLOX, PPYOLOE, etc.

  Language:Python3k546

• IDEA-Research/Grounded-Segment-Anything

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

  Language:Jupyter Notebook15.4k1.4k

• facebookresearch/Detic

  Code release for "Detecting Twenty-thousand Classes using Image-level Supervision".

  Language:Python1.9k209

• ultralytics/ultralytics

  Ultralytics YOLO11 🚀

  Language:Python34.1k6.5k

• roboflow/supervision

  We write your reusable computer vision tools. 💜

  Language:Python24.5k1.8k

• AarohiSingla/YOLO-NAS

  Implementation on Custom Dataset

  Language:Jupyter Notebook6031

• facebookresearch/ijepa

  Official codebase for I-JEPA, the Image-based Joint-Embedding Predictive Architecture. First outlined in the CVPR paper, "Self-supervised learning from images with a joint-embedding predictive architecture."

  Language:Python2.9k361

• zsef123/EfficientNets-PyTorch

  A PyTorch implementation of " EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks."

  Language:Python30947

• jacobgil/pytorch-explain-black-box

  PyTorch implementation of Interpretable Explanations of Black Boxes by Meaningful Perturbation

  Language:Python33451

• ramprs/grad-cam

  [ICCV 2017] Torch code for Grad-CAM

  Language:Lua1.5k226

• jakevdp/PythonDataScienceHandbook

  Python Data Science Handbook: full text in Jupyter Notebooks

  Language:Jupyter Notebook43.4k18k

• znxlwm/pytorch-MNIST-CelebA-cGAN-cDCGAN

  Pytorch implementation of conditional Generative Adversarial Networks (cGAN) and conditional Deep Convolutional Generative Adversarial Networks (cDCGAN) for MNIST dataset

  Language:Python496128

• eriklindernoren/PyTorch-GAN

  PyTorch implementations of Generative Adversarial Networks.

  Language:Python16.6k4.1k

• automoss/automoss

  Automate the process of detecting similarities between code for a collection of computer science assignments.

  Language:JavaScript11921

• facebookresearch/dinov2

  PyTorch code and models for the DINOv2 self-supervised learning method.

  Language:Jupyter Notebook9.4k845

• MorvanZhou/PyTorch-Tutorial

  Build your neural network easy and fast, 莫烦Python中文教学

  Language:Jupyter Notebook8.2k3.1k

• LynnHo/Conditional-GANs-Pytorch

  CGAN ProjectionCGAN ACGAN InfoGAN Pytorch

  Language:Python6619

• Tverous/pytorch-notebook

  Docker image with Jupyter, Pytorch and CUDA GPUs supports.

  Language:Dockerfile9644

• markdtw/meta-learning-lstm-pytorch

  pytorch implementation of Optimization as a Model for Few-shot Learning

  Language:Python17835

• vikramreddy0307/Model-Optimization-for-few-shot-learning

  Language:Python1

• probml/pml-book

  "Probabilistic Machine Learning" - a book series by Kevin Murphy

  Language:Jupyter Notebook5k597

• lukemelas/EfficientNet-PyTorch

  A PyTorch implementation of EfficientNet

  Language:Python8k1.5k

• twitter-research/meta-learning-lstm

  This repo contains the source code accompanying a scientific paper with the same name.

  Language:Lua370163

• daooshee/Few-Shot-Learning

  6923

• RockeyCoss/Prompt-Segment-Anything

  This is an implementation of zero-shot instance segmentation using Segment Anything.

  Language:Python30415