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advanced-machine-learning-with-python

Code repository for Advanced Machine Learning with Python, published by Packt

algorithms

Minimal examples of data structures and algorithms in Python

american-express-analyze-this-2017

Our Submission for Analyze This 2017 ( Leader Board Rank 10 )

awesome-deep-learning-papers

The most cited deep learning papers

awesome-interviews

:octocat: A curated awesome list of lists of interview questions. Feel free to contribute! :mortar_board:

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

bandit

R package for split test/one-armed bandit analysis

bandit-neuralmonkey

Bandit learning on top of Neural Monkey, an open-source tool for sequence learning in NLP built on TensorFlow. Bandit-learning objectives in branch bandits-master.

baruch-mfe-credit-risk-modeling

bayesian-analysis-with-python

Bayesian Analysis with Python by Packt

bayestsa

A Python library implementing Bayesian methods for solving estimation and forecasting problems in time series analysis

calibrationnn

Model Calibration with Neural Networks

capsnet

CapsNet (Capsules Net) in Geoffrey E Hinton paper "Dynamic Routing Between Capsules"

competitive-programming

cqf-1

The CQF program

data-science-ipython-notebooks

Continually updated data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

datasciencepython

Introduction to Data Science in Python

deep-learning-keras-tensorflow

Introduction to Deep Neural Networks with Keras and Tensorflow

deep-learning-papers-reading-roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

deep-learning-workshop

Deep learning workshop materials

deep-reinforcement-learning-papers

A list of recent papers regarding deep reinforcement learning

dlvc2017

dlvcnptel

Tutorials for DLVC NPTEL MOOC

duel-staged-attention-for-nyc-weather-prediction

Dual Staged Attention Model for Time Series prediction

edward

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

eeap-examples

Code for Document Similarity on Reuters dataset using Encode, Embed, Attend, Predict recipe

finmathematics

Books

freeml

Data Science Resources (Mostly Free)

gs-quantify-2017

Our Submission for GS quantify 2017 ( selected among 3 finalists for on-site finals )

hackermath

Introduction to Statistics and Basics of Mathematics for Data Science - The Hacker's Way