geeky-bit

Tensorflow-HiddenMarkovModel-Baum_Welch-Viterbi-forward_backward-algo

SVR--Decision-Trees--Random-Forests--DeepNeuralNets--to-PREDICT-FOREST-FIRES

This repo is an implementation of the research paper "A Data Mining Approach to Predict Forest Fires using Meteorological Data." by P. Cortez and A. Morais. The algorithms used are : SVR, Decision Trees, Random Forests, Simple Deep Neural Network ( Keras with Tensorflow backend)

Recommendation_systems-using-SVD-KNN-etc

Building Recommendation systems using Singular Value Decomposition (SVD), knn Algorithm, Collaborative filtering, etc

Automatic-Cartography-from-Remote-Sensing

This repo contains project for Automatic Cartography from Remote Sensing datasets

Collaborative-filtering-for-Music-recommendation

This repo uses Collaborative filtering for Music recommendation (User-based and content-based)

Markov-Chains-to-Predict-Stock-Market-Behaviour

This is a simple implementation of Markov chains to predict Stock Market Behaviour

agents

A library of RL tools

awesome-decision-tree-papers

A collection of research papers on decision, classification and regression trees with implementations.

awesome-deep-vision

A curated list of deep learning resources for computer vision

style-transfer

An implementation of "A Neural Algorithm of Artistic Style" by L. Gatys, A. Ecker, and M. Bethge. http://arxiv.org/abs/1508.06576.

caffe

Caffe: a fast open framework for deep learning.

Census-Data-Imbalanced-Data-Problem

This is a simple Imbalanced dataset handling problem where I have used Census Data

Data-Science-Projects

Collection of personal data science projects

Data-Science-Stuff

Data-Visualization-Tableau

DeepNetsForEO

Deep networks for Earth Observation

Dimensionality-Reduction-Techniques-Massive-Guide

This repo is a collection of examples of almost all Dimensionality Reduction techniques currently used. Codes are in Python and R. (Working on it. Stay tuned.)

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

Games

This repo contains some games I have written. I will upload many more games where I have used Deep Learning.

keras-resources

Directory of tutorials and open-source code repositories for working with Keras, the Python deep learning library

Lasagne

Lightweight library to build and train neural networks in Theano

Latent-Dirichlet-Allocation-with-Collapsed-Gibs-Sampling

This is an implementation of Topic Modelling using Latent Dirichlet Allocation with collapsed Gibbs Sampling

machine-learning-interview

Machine Learning Interviews from FAAG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.

Mastering-Probability-and-Statistics-in-Python

Mastering Probability and Statistics in Python, published by Packt

NLP-using-Deep-Learning

This repo contains some of of my work in NLP using Deep Leaning. I am also adding all (nearly) awesome stuff in DeepNLP out there. Enjoy!!!

pretrained.ml

Compilation of pre-trained deep learning models with demos and code.

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

Regression-Analysis-in-R

This repo is a Simple Regression analysis in R for the Competition on Kaggle - World Happiness Index

Theano

Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It can use GPUs and perform efficient symbolic differentiation.

webdnn

Fastest DNN Execution Framework on Web Browser