2178 Open source projects that are alternatives of or similar to Awesome Gan For Medical Imaging

Implementation of 'lightweight' GAN, proposed in ICLR 2021, in Pytorch. High resolution image generations that can be trained within a day or two

Deep Learning Papers on Medical Image Analysis

Hyperspectral Image Spatial Super-Resolution via 3D-Full-Convolutional-Neural-Network

Official SRFlow training code: Super-Resolution using Normalizing Flow in PyTorch

Pix2Pix Image translation using conditional generative adversarial network - sketch to face

Earthquake detection and analysis in Python.

This repository allows you to get started with training a state-of-the-art Deep Learning model with little to no configuration needed! You provide your labeled dataset or label your dataset using our BMW-LabelTool-Lite and you can start the training right away and monitor it in many different ways like TensorBoard or a custom REST API and GUI. NoCode training with YOLOv4 and YOLOV3 has never been so easy.

Paper Reading

Implementation code of the paper: FishNet: A Versatile Backbone for Image, Region, and Pixel Level Prediction, NeurIPS 2018

Code for the paper: Benhenda, M. 2017. ChemGAN challenge for drug discovery: can AI reproduce natural chemical diversity? arXiv preprint arXiv:1708.08227.

A collection of deep learning tutorials using Tensorflow and Python

CPU/GPU/TPU implementation of the Fréchet Inception Distance

Reconstruct Watertight Meshes from Point Clouds [SIGGRAPH 2020]

Masking GAN - Image attribute mask generation

A curated list of awesome projects which use Machine Learning to generate synthetic content.

PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume, CVPR 2018 (Oral)

Continious Generative Adversarial Network

🔥3D-RecGAN++ in Tensorflow (TPAMI 2018)

Intel / AMD CPU Internals

Pytorch framework for doing deep learning on point clouds.

Deep face segmentation in extremely hard conditions

Code for paper "SketchyGAN: Towards Diverse and Realistic Sketch to Image Synthesis"

Detecting Pneumonia in Chest X-ray Images using Convolutional Neural Network and Pretrained Models

Deep Learning--深度学习

🔥 PI-REC: Progressive Image Reconstruction Network With Edge and Color Domain. 🔥 图像翻译，条件GAN，AI绘画

The state-of-art PyTorch implementation of the method described in the paper "LipNet: End-to-End Sentence-level Lipreading" (https://arxiv.org/abs/1611.01599)

An open source framework for seq2seq models in PyTorch.

Qualia is a deep learning framework deeply integrated with automatic differentiation and dynamic graphing with CUDA acceleration. Qualia was built from scratch.

Code for NAACL 2019 paper: Distant Supervision Relation Extraction with Intra-Bag and Inter-Bag Attentions

Pytorch Implementation of retinal OCT Layer Segmentation (with trained models)

GUI for marking bounded boxes of objects in images for training neural network Yolo v3 and v2 https://github.com/AlexeyAB/darknet, https://github.com/pjreddie/darknet

Generative Adversarial Text to Image Synthesis / Please Star -->

PointCNN: Convolution On X-Transformed Points (NeurIPS 2018)

The codes of VAE-GAN model for 3d shape reconstruction from depth data

The pytorch re-implement of the official efficientdet with SOTA performance in real time and pretrained weights.

把极速检测器的门槛给我打下来make lightweight caffe-ssd great again

Disentangled Makeup Transfer with Generative Adversarial Network

[AAAI2020] Cross-Modality Paired-Images Generation for RGB-InfraredPerson Re-Identification

Object Tracking in Tensorflow ( Localization Detection Classification ) developed to partecipate to ImageNET VID competition

Tika-Python is a Python binding to the Apache Tika™ REST services allowing Tika to be called natively in the Python community.

Users Plugin for CakePHP

A comprehensive reference for all topics related to Natural Language Processing

NLP Paper

MTCNN face detection implementation for TensorFlow, as a PIP package.

A platform for end-to-end development of machine learning solutions in biomedical imaging

Pixel2Mesh: Generating 3D Mesh Models from Single RGB Images. In ECCV2018.

A Python implementation of RAISR

Deep Learning over PyTorch

Monk is a low code Deep Learning tool and a unified wrapper for Computer Vision.

keras를 이용한 딥러닝 기초 학습

videos, lectures, blogs for Deep Learning

Examples trained using the python pytorch package pro-gan-pth

Deep learning face detection and recognition, implemented by pytorch. (pytorch实现的人脸检测和人脸识别)

Paper Lists, Notes and Slides, Focus on NLP. For summarization, please refer to https://github.com/xcfcode/Summarization-Papers

WB color augmenter improves the accuracy of image classification and image semantic segmentation methods by emulating different WB effects (ICCV 2019) [Python & Matlab].

Programming assignments from all courses in the Coursera Natural Language Processing Specialization offered by deeplearning.ai.

Deep learning with cats (^._.^)

Cookbook examples for the Insight Toolkit documented with Sphinx

机器学习与深度学习算法示例

PyTorch implementation of CycleGAN