Lovedeep Singh's Projects
This repository contains my full work and notes on Coursera's NLP Specialization (Natural Language Processing) taught by the instructor Younes Bensouda Mourri and Łukasz Kaiser offered by deeplearning.ai
This repository is the collection of research papers in Deep learning, computer vision and NLP.
contains design patterns code in c++
Quickly download and install DevCon without downloading the entire Windows Driver Kit . Files come directly from Microsoft servers.
TensorFlow documentation
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
Ebooks on varous CS and tech topics
Contains work done in Fake News Capstone Project
This is a dataset for fake news detection research
Fake News Detection using Deep Learning in Vector Space
Tooling for GANs in TensorFlow
Google AI Research
Thanks to lirenTu@scale
A Hybrid calculator implemented via lex and yacc
Hybrid Ensemble, Fake News Detection, attempt
TensorFlow implementation of AlexNet and its training and testing on ImageNet ILSVRC 2012 dataset
Interview questions
Lab Materials for MIT 6.S191: Introduction to Deep Learning
Keras implementations of Generative Adversarial Networks.
Master in Data Science Final Project
The codes of paper "Long Text Generation via Adversarial Training with Leaked Information" on AAAI 2018. Text generation using GAN and Hierarchical Reinforcement Learning.
COMPILER STUFF, FOR INITIAL UNDERSTANDINGS AND BASIC TUTORIALS Source code lex/flex tutorial on YouTube.
Library Management System
Hello World of Machine Learning The best small project to start with on a new tool is the classification of iris flowers (e.g. the iris dataset). This is a good project because it is so well understood.
Basics of Machine Learning in both Python and R
A collection of machine learning examples and tutorials.
Programming assignments for Machine Learning by Standford University
Python assignments for the machine learning class by andrew ng on coursera with complete submission for grading capability and re-written instructions.