Vehicle detection using machine learning and computer vision techniques for Udacity's Self-Driving Car Engineer Nanodegree.

Python codes in Machine Learning, NLP, Deep Learning and Reinforcement Learning with Keras and Theano

Ruby language bindings for LIBSVM

Open Source Landmarking Library

Fake News Detection in Python

Training SVM classifier to recognize people expressions (emotions) on Fer2013 dataset

[ICMLC 2018] A Neural Network Architecture Combining Gated Recurrent Unit (GRU) and Support Vector Machine (SVM) for Intrusion Detection

This repository contains works on a computer vision software pipeline built on top of Python to identify Lanes and vehicles in a video. This project is not part of Udacity SDCND but is based on other free courses and challanges provided by Udacity. It uses Computer vision and Deep Learrning Techniques. Few pipelines have been tried on SeDriCa, IIT Bombay.

基于Word2Vec+SVM对电商的评论数据进行情感分析

AI Learning Hub for Machine Learning, Deep Learning, Computer Vision and Statistics

traffic sign detection with HOG feature and SVM model

My Solutions for Stanford's CS231n: "CNNs for Visual Recognition"

基于机器学习和OCR的车牌识别系统 @fujunhao

The (un)official repository for my master thesis

用Python实现SVM多分类器

Support Vector Machine in Javascript

Behavioral segmentation of open field in DeepLabCut, or B-SOID ("B-side"), is an unsupervised learning algorithm written in MATLAB that serves to discover behaviors that are not pre-defined by users.

Football Match prediction using machine learning algorithms in jupyter notebook

OpenTC is a text classification engine using several algorithms in machine learning

Forecast stock prices using machine learning approach. A time series analysis. Employ the Use of Predictive Modeling in Machine Learning to Forecast Stock Return. Approach Used by Hedge Funds to Select Tradeable Stocks

IO, scheduling, utils, machine learning... for Arduino

An Implementation of SVM - Support Vector Machines using Linear Kernel. This is just for understanding of SVM and its algorithm.

Vehicle Detection + Advanced Lane Finding for ADAS

Python implementation of Andrew Ng's ML course projects

Object detection program, using HoG+SVM, OpenCV2.4.10, VS2013

This project is for classification of emotions using EEG signals recorded in the DEAP dataset to achieve high accuracy score using machine learning algorithms such as Support vector machine and K - Nearest Neighbor.

This is retrieval based Chatbot based on FAQs found at a banking website.

Script to extract CNN deep features with different ConvNets, and then use them for an Image Classification task with a SVM classifier with lineal kernel over the following small datasets: Soccer [1], Birds [2], 17flowers [3], ImageNet-6Weapons[4] and ImageNet-7Arthropods[4].

This is a Statistical Learning application which will consist of various Machine Learning algorithms and their implementation in R done by me and their in depth interpretation.Documents and reports related to the below mentioned techniques can be found on my Rpubs profile.

Histogram Of Oriented Gradients