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500-ai-machine-learning-deep-learning-computer-vision-nlp-projects-with-code

500 AI Machine learning Deep learning Computer vision NLP Projects with code

attentionconvlstm

"Attention in Convolutional LSTM for Gesture Recognition" in NIPS 2018

awesome-ml-courses

Awesome free machine learning and AI courses with video lectures.

bcdu-net

BCDU-Net : Medical Image Segmentation

best-of-ml-python

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

c3d-keras

train C3D with keras for action recognition

covidprognosis

COVID deterioration prediction based on chest X-ray radiographs via MoCo-trained image representations

cs-video-courses

List of Computer Science courses with video lectures.

cs5242_2021

Neural Networks and Deep Learning, NUS CS5242, 2021

da-100ja-analyzing-data-with-power-bi

DA-100: Power BI

data-engineer-roadmap

Roadmap to becoming a data engineer in 2021

datasciencecoursera

My Project

datasets

A collection of datasets of ML problem solving

datasharing

The Leek group guide to data sharing

deep-learning-paper-review-and-practice

꼼꼼한 딥러닝 논문 리뷰와 코드 실습

deep_learning_lecture

Deep learning lecture

deeplearning.ai-tensorflow-developer-course

DeepLearning.AI TensorFlow Developer Professional Certificate -Coursera

deepmedic

Efficient Multi-Scale 3D Convolutional Neural Network for Segmentation of 3D Medical Scans

denser2u-net-for-lung-segmentation

dilated-u-net

dlaicourse

Notebooks for learning deep learning

dltk

Deep Learning Toolkit for Medical Image Analysis

e-osvos

Implementation of "Make One-Shot Video Object Segmentation Efficient Again” and the semi-supervised fine-tuning "e-OSVOS" approach (NeurIPS 2020).

elektronn3

A PyTorch-based library for working with 3D and 2D convolutional neural networks, with focus on semantic segmentation of volumetric biomedical image data

getting-things-done-with-pytorch

Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT.

hosni

image-segmentation-keras

Implementation of Segnet, FCN, UNet , PSPNet and other models in Keras.

image_segmentation

Pytorch implementation of U-Net, R2U-Net, Attention U-Net, and Attention R2U-Net.

introtodeeplearning

Lab Materials for MIT 6.S191: Introduction to Deep Learning

ircnn-keras

Inception Recurrent Convolutional Neural Network