Beast code in Giters

litho's starred repositories

PaddleNLP

👑 Easy-to-use and powerful NLP and LLM library with 🤗 Awesome model zoo, supporting wide-range of NLP tasks from research to industrial applications, including 🗂Text Classification, 🔍 Neural Search, ❓ Question Answering, ℹ️ Information Extraction, 📄 Document Intelligence, 💌 Sentiment Analysis etc.

Language:PythonApache-2.01175700

stable-diffusion

A latent text-to-image diffusion model

Language:Jupyter NotebookNOASSERTION6676100

pytorch-ssim

pytorch structural similarity (SSIM) loss

Language:PythonNOASSERTION184300

mit-deep-learning

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

Language:Jupyter NotebookMIT1007800

MRAugment

MRAugment: physics-aware data augmentation for deep learning based accelerated MRI reconstruction

Language:PythonMIT2000

mripy

A python based MRI reconstruction toolbox with compressed sensing, parallel imaging and machine-learning functions

Language:Python11500

SLATER

Official implementation of the paper: Unsupervised MRI Reconstruction via Zero-Shot Learned Adversarial Transformers

Language:PythonNOASSERTION3500

Hybrid-CS-Model-MRI

Hybrid k-space/image domain, W-net, model for compressed sensing magnetic resonance reconstruction.

Language:Jupyter NotebookMIT5900

ismrmrd-python-tools

ISMRMRD Python Toolbox

Language:PythonNOASSERTION5700

FastMRI-Challenge

FacebookAI FastMRI Challenge , Reconstructing MRI images from K-space data.

Language:Jupyter Notebook200

Brain-MRI-Autoencoder

Deep Convolutional Autoencoders for reconstructing magnetic resonance images of the healthy brain

Language:Jupyter NotebookMIT3500

fastMRI

A large-scale dataset of both raw MRI measurements and clinical MRI images.

Language:PythonMIT128000

FedGIMP

Official TensorFlow implementation of Federated Learning of Generative Image Priors for MRI Reconstruction (FedGIMP)

Language:PythonNOASSERTION1300

FedMRI

【IEEE TMI 2022】Specificity-Preserving Federated Learning for MR Image Reconstruction

Language:Python4200

lingam

Python package for causal discovery based on LiNGAM.

Language:PythonMIT35800

pytorch-GAT

My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entropy histograms. I've supported both Cora (transductive) and PPI (inductive) examples!

Language:Jupyter NotebookMIT237100

ModelZoo.pytorch

Hands on Imagenet training. Unofficial ModelZoo project on Pytorch. MobileNetV3 Top1 75.64🌟 GhostNet1.3x 75.78🌟

Language:PythonMIT4900

transformer

A Pytorch Implementation of "Attention is All You Need" and "Weighted Transformer Network for Machine Translation"

Language:Python54000

TFF

an end to end framework for analyzing fMRI time-series data (4D) using transformers

Language:Python4200

Pro-GNN

Implementation of the KDD 2020 paper "Graph Structure Learning for Robust Graph Neural Networks"

Language:Python27700

DeepRobust

A pytorch adversarial library for attack and defense methods on images and graphs

Language:PythonMIT95700

SegFormer

Official PyTorch implementation of SegFormer

Language:PythonNOASSERTION238800

pyHGT

Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric

Language:PythonMIT76400

brain-surf-cnn

BrainSurfCNN for individualized prediction of task contrasts from resting-state functional connectivity

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How-to-make-high-resolution-remote-sensing-image-dataset

高分遥感影像数据集的制作

5200

EuroSAT

EuroSAT: Land Use and Land Cover Classification with Sentinel-2

MIT38500

RSSCN7

Dataset of the article “Deep Learning Based Feature Selection for Remote Sensing Scene Classification”

2200

awesome-multimodal-remote-sensing-classification

List of datasets, papers, and codes related to multimodal/multisource/multisensor remote sensing classification

MIT6400

IEEE_TGRS_MDL-RS

Danfeng Hong, Lianru Gao, Naoto Yokoya, Jing Yao, Jocelyn Chanussot, Qian Du, Bing Zhang. More Diverse Means Better: Multimodal Deep Learning Meets Remote Sensing Imagery Classification, IEEE TGRS, 2021, 59(5): 4340-4354.

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contrastive_sensor_fusion

Open-source code for the paper "Representation Learning for Remote Sensing: An Unsupervised Sensor Fusion Approach ".

Language:PythonNOASSERTION2700