Mohammad Azam Khan's starred repositories
DeepLearningExamples
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
Time-Series-Library
A Library for Advanced Deep Time Series Models.
stockpredictionai
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.
Deep-Reinforcement-Learning-Hands-On
Hands-on Deep Reinforcement Learning, published by Packt
Deep-Learning-for-Medical-Applications
Deep Learning Papers on Medical Image Analysis
awesome-transformers-in-medical-imaging
A collection of resources on applications of Transformers in Medical Imaging.
Medical-Transformer
Official Pytorch Code for "Medical Transformer: Gated Axial-Attention for Medical Image Segmentation" - MICCAI 2021
machine_unlearning
Existing Literature about Machine Unlearning
brain-segmentation-pytorch
U-Net implementation in PyTorch for FLAIR abnormality segmentation in brain MRI
awesome-machine-unlearning
Awesome Machine Unlearning (A Survey of Machine Unlearning)
Deep-Reinforcement-Stock-Trading
A light-weight deep reinforcement learning framework for portfolio management. This project explores the possibility of applying deep reinforcement learning algorithms to stock trading in a highly modular and scalable framework.
age-estimation-pytorch
PyTorch-based CNN implementation for estimating age from face images
AttGAN-PyTorch
AttGAN PyTorch Arbitrary Facial Attribute Editing: Only Change What You Want
stock-trading-bot
do not take this seriously, please.
Stock.Indicators.Python
Stock Indicators for Python. Maintained by @LeeDongGeon1996
tricking-data-science
A book of subtle code tricks and gem resources for all things data, machine learning and deep learning.
pytorch-UNet
2D and 3D UNet implementation in PyTorch.
StockInsider
A Python tool to collect, analyze and visualize trading indicators for stocks
DEmoClassi
DEmoClassi stands for Demographic (age, gender, race) and Emotions (happy, sad, angry, ...) Classification from face images, using deep learning.
data_tools
High performance data loading, preprocessing, or preparation for deep learning.
gradcam_consistency_semi_sup
Semi-supervised learning with Grad-CAM consistency regularization