MeteorsHub's Stars
jaywcjlove/awesome-mac
Now we have become very big, Different from the original idea. Collect premium software in various categories.
chenfei-wu/TaskMatrix
lutzroeder/netron
Visualizer for neural network, deep learning and machine learning models
tinygrad/tinygrad
You like pytorch? You like micrograd? You love tinygrad! ❤️
apple/ml-stable-diffusion
Stable Diffusion with Core ML on Apple Silicon
IDEA-Research/Grounded-Segment-Anything
Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything
labelmeai/labelme
Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).
qubvel/segmentation_models.pytorch
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
Ranchero-Software/NetNewsWire
RSS reader for macOS and iOS.
lukemelas/EfficientNet-PyTorch
A PyTorch implementation of EfficientNet
utkuozbulak/pytorch-cnn-visualizations
Pytorch implementation of convolutional neural network visualization techniques
Tencent/TNN
TNN: developed by Tencent Youtu Lab and Guangying Lab, a uniform deep learning inference framework for mobile、desktop and server. TNN is distinguished by several outstanding features, including its cross-platform capability, high performance, model compression and code pruning. Based on ncnn and Rapidnet, TNN further strengthens the support and performance optimization for mobile devices, and also draws on the advantages of good extensibility and high performance from existed open source efforts. TNN has been deployed in multiple Apps from Tencent, such as Mobile QQ, Weishi, Pitu, etc. Contributions are welcome to work in collaborative with us and make TNN a better framework.
xialeiliu/Awesome-Incremental-Learning
Awesome Incremental Learning
DingXiaoH/RepVGG
RepVGG: Making VGG-style ConvNets Great Again
Tencent/MedicalNet
Many studies have shown that the performance on deep learning is significantly affected by volume of training data. The MedicalNet project provides a series of 3D-ResNet pre-trained models and relative code.
gridaco/grida
Free and Open Canvas for Humans and Machines
waleedka/hiddenlayer
Neural network graphs and training metrics for PyTorch, Tensorflow, and Keras.
DLTK/DLTK
Deep Learning Toolkit for Medical Image Analysis
fahadshamshad/awesome-transformers-in-medical-imaging
A collection of resources on applications of Transformers in Medical Imaging.
MIC-DKFZ/batchgenerators
A framework for data augmentation for 2D and 3D image classification and segmentation
Continvvm/continuum
A clean and simple data loading library for Continual Learning
openmedlab/MIS-FM
lebrice/Sequoia
The Research Tree - A playground for research at the intersection of Continual, Reinforcement, and Self-Supervised Learning.
thu-vis/JittorVis
JittorVis - Visual understanding of deep learning models
intra3d2019/IntrA
IntrA: 3D Intracranial Aneurysm Dataset for Deep Learning
rajpurkarlab/BenchMD
ayushtewari/GVV-Differentiable-CUDA-Renderer
Differentiable Rasterization-based Renderer implemented in CUDA and C++
MeteorsHub/GLIA-Net
A segmentation network for intracranial aneurysm on CTA images using pytorch
kenluozhenyu/One_Click_Meteor_Shower
Initial version
hirsch-lab/roc-utils
Python package to compute and visualize a ROC analysis