coolsgupta

fastai

The fastai deep learning library

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

TextBlob

Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation, and more.

awesome-rl

Reinforcement learning resources curated

keras-rl

Deep Reinforcement Learning for Keras.

pybrain

DQN-tensorflow

Tensorflow implementation of Human-Level Control through Deep Reinforcement Learning

ud120-projects

Starter project code for students taking Udacity ud120

zulip-mobile

Zulip mobile apps for Android and iOS.

deep-q-learning

Minimal Deep Q Learning (DQN & DDQN) implementations in Keras

Deep-Convolution-Stock-Technical-Analysis

Uses Deep Convolutional Neural Networks (CNNs) to model the stock market using technical analysis. Predicts the future trend of stock selections.

u-net-brain-tumor

U-Net Brain Tumor Segmentation

MLND-Capstone

Lane Detection with Deep Learning - My Capstone project for Udacity's ML Nanodegree

brats17

Brain tumor segmentation for MICCAI 2017 BraTS challenge

accel-brain-code

The purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) and research and development(R&D) that I have written in my website. The main research topics are Auto-Encoders in relation to the representation learning, the statistical machine learning for energy-based models, adversarial generation networks(GANs), Deep Reinforcement Learning such as Deep Q-Networks, semi-supervised learning, and neural network language model for natural language processing.

brain_segmentation

stock-prediction

Stock price prediction with recurrent neural network. The data is from the Chinese stock.

dqn

DQN implementation in Keras + TensorFlow + OpenAI Gym

dqn-atari

A TensorFlow based implementation of the DeepMind Atari playing "Deep Q Learning" agent that works reasonably well

neural-network-stock-predictor

Semester project for COS 470 (Artifical Intelligence) at the University of Maine.

deep-learning

Assignmends done for Udacity's Deep Learning MOOC with Vincent Vanhoucke

Dog-Breed-Classifier

I built a CNN that can classify dog breeds

AI-in-Medical-Imaging

Dog-Breed-Classifier

An example of using CNNs and Transfer Learning to classify the breed of a dog

scikit-learn

scikit-learn-doc-zh

ML-From-Scratch

Bare bones Python implementations of various Machine Learning models and algorithms.

dqn-atari

Deep Q Learning implementation on Atari:Breakout