achaar Goto Github PK

achaar.github.io

My Website

ai-p1-search

Project 1 of CSCE 625: Artificial Intelligence

ai-p2-multiagent

Project 2 for CSCE 625: AI

ai-project3-reinforcement

Project 3 for CSCE 625: AI on Reinforcement Learning

ai-project4-ghostbusters

Project 4 for CSCE 625: AI on Particle Filtering

ai-project5-machine-learning

Project 5 for CSCE 625: AI on Machine Learning

autokeras

An AutoML system based on Keras

deep-learning-for-tracking-and-detection

Collection of papers, datasets, code and other resources for object tracking and detection using deep learning

hw-acceptance-unit-test-cycle

hw-ruby-intro

Ruby Introduction Assignment for Agile Development using Ruby on Rails

image-captioning

Project for CSCE 633 : Machine Learning on Image Captioning. Implemented Show, Attend and Tell.

introduction-to-algorithms-clrs

Introduction to Algorithms

introtodeeplearning

Lab Materials for MIT 6.S191: Introduction to Deep Learning

mitosis-detection

Deeply Learnt Models :p

mlpack

mlpack: a scalable C++ machine learning library

nmt_ir_spotlight

A tutorial for Custom Layers, Models, and Dataset pipeline in TensorFlow. Course: CSCE 670 Information Retrieval

phd-review-system

PhD review system for Department of Computer Science and Engineering, Texas A&M University, College Station

rottenpotatoes-rails-intro

RottenPotatoes app skeleton for saasbook/hw-rails-intro

semisup-seq-2class

Project for CSCE 638 : Natural Language Processing on Sequence Classification using Semi-Supervised Classification

typo

Typo is the oldest and most powerful Ruby on Rails blogware, providing custom templates, powerful drag and drop plugins API, advanced SEO capabilities, XMLRPC API and many more.

vehicle_counting_tensorflow

"MORE THAN VEHICLE COUNTING!" This project provides prediction for speed, color and size of the vehicles with TensorFlow Object Counting API.

visual_object_tracking

Course Project Reinforcement Learning(CSCE 689)

website

Homepage development

word-rnn-tensorflow

Multi-layer Recurrent Neural Networks (LSTM, RNN) for word-level language models in Python using TensorFlow.