world2005

annotated_deep_learning_paper_implementations

🧠 Implementations/tutorials of deep learning papers with side-by-side notes; including transformers (original, xl, switch, feedback, vit), optimizers(adam, radam, adabelief), gans(dcgan, cyclegan, stylegan2), reinforcement learning (ppo, dqn), capsnet, distillation, etc.

Awesome-Segment-Anything

This repository is for the first comprehensive survey on Meta AI's Segment Anything Model (SAM).

Beta-CROWN

β-CROWN: Efficient Bound Propagation with Per-neuron Split Constraints for Neural Network Verification

cbctrecon

CBCT Reconstruction toolkit for Varian and Elekta (Mirror of GitLab)

CenterNet2

Two-stage CenterNet

Co-BioNet

[Nature Machine Intelligence Journal] Official pytorch implementation for Uncertainty-Guided Dual-Views for Semi-Supervised Volumetric Medical Image Segmentation

DeepLearningInMedicalImagingAndMedicalImageAnalysis

deepmind-research

This repository contains implementations and illustrative code to accompany DeepMind publications

dlwpt-code

Code for the book Deep Learning with PyTorch by Eli Stevens and Luca Antiga.

FreeCT_wFBP_DEPRECATED

Fast, lightweight, GPU-based, CT Image Reconstruction

gcn_refinement

hopsworks

Hopsworks - Data-Intensive AI platform with a Feature Store

InverseNet

This repository contains an implementation of the inverseNet to find the latent variables of the mnist digit dataset. In near future the algorithm will be developed so that classification can be done in a semi-supervied fashion.

machine-learning-applied-to-cfd

Examples of how to use machine learning algorithms in computational fluid dynamics.

Machine-learning-for-proteins

Listing of papers about machine learning for proteins.

machine-learning-notes

Collection of useful machine learning codes and snippets (originally intended for my personal use)

MAE-pytorch

Unofficial PyTorch implementation of Masked Autoencoders Are Scalable Vision Learners

matRad

An open source multi-modality radiation treatment planning sytem

MedicalZooPytorch

A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation

mirt

Michigan Image Reconstruction Toolbox (MIRT) - Matlab version

MNIST-CoreML-Training

Training MNIST with CoreML on Device

Monte

Multi-Scale-1D-ResNet

pytorch code of multi scale 1d resnet, we hope it will help your research

PyTorch-BayesianCNN

Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.

rad

RAD: Reinforcement Learning with Augmented Data

resnet1d

PyTorch implementations of several SOTA backbone deep neural networks (such as ResNet, ResNeXt, RegNet) on one-dimensional (1D) signal/time-series data.

rlmeta

RLMeta is a light-weight flexible framework for Distributed Reinforcement Learning Research.

ScatterNet-Keras

sentence-transformers

Multilingual Sentence & Image Embeddings with BERT

TIGRE

TIGRE: Tomographic Iterative GPU-based Reconstruction Toolbox