PyTorch implementation of SLAYER for training Spiking Neural Networks

Feature selector is a tool for dimensionality reduction of machine learning datasets

Main code for Parcels (Probably A Really Computationally Efficient Lagrangian Simulator)

Implementation code for the paper "Generating Natural Language Adversarial Examples"

Scenarios, tutorials and demos for Autonomous Driving

Modification of fast.ai deep learning course notebooks for usage with Keras 2 and Python 3.

Project analyzes Amazon Stock data using Python. Feature Extraction is performed and ARIMA and Fourier series models are made. LSTM is used with multiple features to predict stock prices and then sentimental analysis is performed using news and reddit sentiments. GANs are used to predict stock data too where Amazon data is taken from an API as Generator and CNNs are used as discriminator.

Assignments for Berkeley CS 285: Deep Reinforcement Learning (Fall 2020)

Face Depixelizer based on "PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models" repository.

Stereo convolutional neural network for depth map prediction from stereo images

A Portfolio of my Data Science Projects

C/C++/Python based computer vision models using OpenPose, OpenCV, DLIB, Keras and Tensorflow libraries. Object Detection, Tracking, Face Recognition, Gesture, Emotion and Posture Recognition

This repository contains code for the paper Learning by Association - A versatile semi-supervised training method for neural networks (CVPR 2017) and the follow-up work Associative Domain Adaptation (ICCV 2017).

周志华-机器学习

Various math-related things in Python code

Open source person re-identification in Pytorch

🛠 All-in-one web-based IDE specialized for machine learning and data science.

This repository contains the Tutorials for the NPTEL MOOC on Machine Learning.