『ゼロから作る Deep Learning ❸』(O'Reilly Japan, 2020)

iOS Core ML implementation of waifu2x

This repository is the collection of research papers in Deep learning, computer vision and NLP.

Random miniprojects with pytorch.

ONNX Runtime Server: The ONNX Runtime Server is a server that provides TCP and HTTP/HTTPS REST APIs for ONNX inference.

All my experiments with AI and ML

OpenLabeler is an open source desktop application for annotating objects for AI appplications

Training with FP16 weights in PyTorch

Quasi-recurrent Neural Networks for Keras

This system provides the facility to convert roughly hand-drawn humam face sketch image on canvas into a realistic face image by using image generative AI in a real-time.

A PyTorch-based tool for generating realistic password lists using advanced deep learning techniques.

This is a project on "Stock-Market-Analysis-And-Forecasting-Using-Deep-Learning" using Pytorch, python, deep learning, gru, plotly

This is a Yoga Pose Estimation App which can be able to detect the yoga pose in real time by using posenet and KNN Classifier. Here the dataset used is custom data set which consists of 3 videos for representing 3 different postures. It is deployed in heroku. One Thing to be noted i.e this will work correctly for all mobile and edge devices.

simple tutorial on Machine Learning with Scikitlearn

SynapseAI Core is a reference implementation of the SynapseAI API running on Habana Gaudi

Proof of the concept implementation of smiles2vec paper

End-to-end-tests automation framework

Different deep learning architectures are implemented for time series classification and prediction purposes.

Multilayer Perceptron Neural network for binary classification between two type of breast cancer ("benign" and "malignant" )using Wisconsin Breast Cancer Database

A PureScript, browser-based implementation of simple linear regression.