Uljibuh's Stars
changzy00/pytorch-attention
🦖Pytorch implementation of popular Attention Mechanisms, Vision Transformers, MLP-Like models and CNNs.🔥🔥🔥
huggingface/pytorch-image-models
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
SwinTransformer/Video-Swin-Transformer
This is an official implementation for "Video Swin Transformers".
berniwal/swin-transformer-pytorch
Implementation of the Swin Transformer in PyTorch.
chinhsuanwu/coatnet-pytorch
A PyTorch implementation of "CoAtNet: Marrying Convolution and Attention for All Data Sizes"
kenshohara/3D-ResNets-PyTorch
3D ResNets for Action Recognition (CVPR 2018)
lucidrains/TimeSformer-pytorch
Implementation of TimeSformer from Facebook AI, a pure attention-based solution for video classification
junyuchen245/ViT-V-Net_for_3D_Image_Registration_Pytorch
Vision Transformer for 3D medical image registration (Pytorch).
arogozhnikov/einops
Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)
fahadshamshad/awesome-transformers-in-medical-imaging
A collection of resources on applications of Transformers in Medical Imaging.
aladdinpersson/Machine-Learning-Collection
A resource for learning about Machine learning & Deep Learning
shijianjian/EfficientNet-PyTorch-3D
A PyTorch implementation of EfficientNet
matajoh/fourier_feature_nets
Supplemental learning materials for "Fourier Feature Networks and Neural Volume Rendering"
MaxRobinsonTheGreat/mandelbrotnn
Torturing neural networks by forcing them to learn the Mandelbrot set.
lucidrains/vit-pytorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
albarqouni/Deep-Learning-for-Medical-Applications
Deep Learning Papers on Medical Image Analysis
black0017/MedicalZooPytorch
A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation
abhineet123/Deep-Learning-for-Tracking-and-Detection
Collection of papers, datasets, code and other resources for object tracking and detection using deep learning
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.
junyuchen245/Transformer_for_medical_image_analysis
A collection of papers about Transformer in the field of medical image analysis.
DLTK/DLTK
Deep Learning Toolkit for Medical Image Analysis
MIC-DKFZ/medicaldetectiontoolkit
The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on dealing with medical images.
Project-MONAI/tutorials
MONAI Tutorials
Project-MONAI/MONAI
AI Toolkit for Healthcare Imaging
HumanSignal/labelImg
LabelImg is now part of the Label Studio community. The popular image annotation tool created by Tzutalin is no longer actively being developed, but you can check out Label Studio, the open source data labeling tool for images, text, hypertext, audio, video and time-series data.
nomic-ai/gpt4all
GPT4All: Run Local LLMs on Any Device. Open-source and available for commercial use.
google-research/tuning_playbook
A playbook for systematically maximizing the performance of deep learning models.
dair-ai/ML-Papers-Explained
Explanation to key concepts in ML
srush/Tensor-Puzzles
Solve puzzles. Improve your pytorch.
the-full-stack/fsdl-text-recognizer-2022-labs
Complete deep learning project developed in Full Stack Deep Learning, 2022 edition. Generated automatically from https://github.com/full-stack-deep-learning/fsdl-text-recognizer-2022