berkeleydeeprlcourse / Homework_fall2020

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.

Scenarios, tutorials and demos for Autonomous Driving

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

PyTorch implementation of SLAYER for training Spiking Neural Networks

https://www.udemy.com/python-for-finance-and-trading-algorithms/

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

Home assignments for data science positions

Various math-related things in Python code

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

A Portfolio of my Data Science Projects

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

Open source person re-identification in Pytorch

Stereo convolutional neural network for depth map prediction from stereo images

A list of pretrained Transformer models for the Russian language.

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

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

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