awesome-qa

😎 A curated list of the Question Answering (QA)

awesome-quantum-machine-learning

Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web

awesome-rnn

Recurrent Neural Network - A curated list of resources dedicated to RNN

awesome-sentence-embedding

A curated list of pretrained sentence and word embedding models

awesome-tensorflow

TensorFlow - A curated list of dedicated resources http://tensorflow.org

beginners-python-examples

Basic Python CLI programs

best-of-ml-python

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

best-websites-a-programmer-should-visit

:link: Some useful websites for programmers.

bi-att-flow

Bi-directional Attention Flow (BiDAF) network is a multi-stage hierarchical process that represents context at different levels of granularity and uses a bi-directional attention flow mechanism to achieve a query-aware context representation without early summarization.

bokeh

Interactive Data Visualization in the browser, from Python

cnn-qa

CNN for Multiple Choice Question Answering

codah

Repository for the CODAH dataset

coding-interview-university

A complete computer science study plan to become a software engineer.

competitive-programming

A set of tools and algorithms to perform in programming competitions

competitive-programming-1

Programming Solutions for OJs and Algorithms

competitive-programming-2

Personal repository of algorithms, data structures, references and any other useful information.

cookbook

The Data Engineering Cookbook

courses

fast.ai Courses

courses-1

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

cs224n-squad-project

d3

Bring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada:

dat8

General Assembly's Data Science course in Washington, DC

data-analysis-and-machine-learning-projects

Repository of teaching materials, code, and data for my data analysis and machine learning projects.

data-science-from-scratch

Experimenting with the code examples from the book "Data Science from Scratch: First Principles with Python"

data-science-from-scratch-1

code for Data Science From Scratch book

data-science-interview-resources

A repository listing out the potential sources which will help you in preparing for a Data Science/Machine Learning interview. New resources added frequently.

data-science-ipython-notebooks

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

datasciencepython

common data analysis and machine learning tasks using python

datascienceresources

Open Source Data Science Resources.

datasets

A collection of datasets of ML problem solving