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adv_fin_ml_exercises

Experimental solutions to selected exercises from the book [Advances in Financial Machine Learning by Marcos Lopez De Prado]

aind-isolation

aind-planning

aind-recognizer

aind-sudoku

aind2-rnn

Project materials for RNN segment of AIND nanodegree

asr

ASR of udacity NLP nanodegree

backtrader

bayesboost

Bayesian Optimization using xgboost and sklearn API

bayesianoptimization

A Python implementation of global optimization with gaussian processes.

bayesopt

BayesOpt: A toolbox for bayesian optimization, experimental design and stochastic bandits.

capstone

chatroom

chinese-poetry-generation

An RNN-based Chinese Poem Generator

cnp_tensorflow

convnet

A GPU implementation of Convolutional Neural Nets in C++

cuda-convnet

Fork of Alex Krizhevsky's cuda-convnet. Adds dropout.

deep-learning

Repo for the Deep Learning Nanodegree Foundations program.

deep-learning-challenge

deeplearning-challenges

Codes for weekly challenges on Deep Learning by Siraj

deeplearningbook-chinese

Deep Learning Book Chinese Translation

deeplearningtutorials

Deep Learning Tutorial notes and code. See the wiki for more info.

deeptesla

End-to-End Learning from Tesla Autopilot Driving Data

edward

A library for probabilistic modeling, inference, and criticism. Deep generative models, variational inference. Runs on TensorFlow.

flask

garbagecollector

udacity C++ project

gmmn

Generative moment matching networks

how-to-predict-stock-prices-easily-demo

How to Predict Stock Prices Easily - Intro to Deep Learning #7 by Siraj Raval on Youtube

introduction-to-data-science-in-python

This repository contains Ipython notebooks of assignments and tutorials used in the course introduction to data science in python, part of Applied Data Science using Python Specialization from University of Michigan offered by Coursera

kaggle_crowdflower

1st Place Solution for Search Results Relevance Competition on Kaggle (https://www.kaggle.com/c/crowdflower-search-relevance)