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aind-nlp

Coding exercises for the Natural Language Processing concentration, part of Udacity's AIND program.

baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

cvnd_exercises

Exercise notebooks for CVND.

deep-learning

Repo for the Deep Learning Nanodegree Foundations program.

deep-reinforcement-learning

Repo for the Deep Reinforcement Learning Nanodegree program

deeprl

Modularized Implementation of Deep RL Algorithms in PyTorch

full-stack-foundations

Solution Code to Full Stack Foundations (ud088)

fullstack-nanodegree-vm

gaussian_mixture_models

This is the code for "Gaussian Mixture Models - The Math of Intelligence (Week 7)" By Siraj Raval on Youtube

gym

A toolkit for developing and comparing reinforcement learning algorithms.

hello-world

My first repository in Github, the hello world tradition

hmm-tagger

Hidden Markov Model Part of Speech tagger project

how_to_deploy_a_keras_model_to_production

This is the code for the "How to Deploy a Keras Model to Production" by Siraj Raval on Youtube

javascript-game-sample

javascript-map-app

javascript-map-app-mapper

keras-rl

Deep Reinforcement Learning for Keras.

machine-learning

Content for Udacity's Machine Learning curriculum

natural-language-processing-nanodegree

Natural Language Processing Nanodegree from Udacity Platform, in which I implement Hidden Markov Model for POS Tagger, Bidirectional LSTM for English-French Machine Translation, and End-to-End LSTM-based Speech Recognition

nlp-exercises

nlp-nanodegree

Natural Language Processing Nanodegree from Udacity

pomegranate

Fast, flexible and easy to use probabilistic modelling in Python.

rest-api-sections

A small repository of projects built in my course, REST APIs with Flask and Python.

udacity-nlpnd

Tutorials and my solutions to the Udacity NLP Nanodegree

word_doc_tester