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

Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

An Open Source Machine Learning Framework for Everyone

Visual Studio Code

A collection of useful .gitignore templates

Models and examples built with TensorFlow

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

The Python programming language

Deep Learning for humans

A topic-centric list of HQ open datasets.

scikit-learn: machine learning in Python

Based on a true story

Your backend, minus the hassle.

TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

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

LevelDB is a fast key-value storage library written at Google that provides an ordered mapping from string keys to string values.

Caffe: a fast open framework for deep learning.

💫 Industrial-strength Natural Language Processing (NLP) in Python

A complete daily plan for studying to become a machine learning engineer.

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,…

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep lear…

Notepad++ official repository

System design interview for IT companies

Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit

📖 A curated list of resources dedicated to Natural Language Processing (NLP)

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning …

Code samples for my book "Neural Networks and Deep Learning"

NLTK Source