dcbm-85's Stars
fepegar/torchio
Medical imaging toolkit for deep learning
fudan-zvg/Semantic-Segment-Anything
Automated dense category annotation engine that serves as the initial semantic labeling for the Segment Anything dataset (SA-1B).
facebookresearch/segment-anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
PrincetonUniversity/multi_gpu_training
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
srush/Tensor-Puzzles
Solve puzzles. Improve your pytorch.
jwehrmann/retrieval.pytorch
Adaptive Cross-Modal Embeddings for Image-Sentence Alignment
ChrisMats/feature-reuse
fhaghighi/DiRA
Official PyTorch Implementation for DiRA: Discriminative, Restorative, and Adversarial Learning for Self-supervised Medical Image Analysis - CVPR 2022
fffarias/sfo-manuscript
Python script for the numerical example in the manuscript "Applying a stochastic quasi-Newton optimizer to least-squares reverse time migration" submitted to Computers and Geosciences journal on 05/28/2021.
lucidrains/vit-pytorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
facebookresearch/deit
Official DeiT repository
EPFL-VILAB/MultiMAE
MultiMAE: Multi-modal Multi-task Masked Autoencoders, ECCV 2022
libffcv/ffcv
FFCV: Fast Forward Computer Vision (and other ML workloads!)
ChrisMats/medical_transformers
Public repo for the ICCV2021-CVAMD paper "Is it Time to Replace CNNs with Transformers for Medical Images?"
facebookresearch/mae
PyTorch implementation of MAE https//arxiv.org/abs/2111.06377
yoshitomo-matsubara/torchdistill
A coding-free framework built on PyTorch for reproducible deep learning studies. 🏆25 knowledge distillation methods presented at CVPR, ICLR, ECCV, NeurIPS, ICCV, etc are implemented so far. 🎁 Trained models, training logs and configurations are available for ensuring the reproducibiliy and benchmark.
pytorch/captum
Model interpretability and understanding for PyTorch
pytorch/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Lightning-AI/deep-learning-project-template
Pytorch Lightning code guideline for conferences
facebookresearch/vissl
VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.
karpathy/minGPT
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
mlmed/torchxrayvision
TorchXRayVision: A library of chest X-ray datasets and models. Classifiers, segmentation, and autoencoders.
facebookresearch/detr
End-to-End Object Detection with Transformers
albumentations-team/albumentations
Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
facebookresearch/detectron2
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
jfhealthcare/Chexpert
Top 1 solution of Chexpert
facebookresearch/dino
PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO
stanfordmlgroup/MoCo-CXR
MoCo-based unsupervised training for Chest X-Ray Interpretation
google-research/understanding-transfer-learning