Awesome Computer Science

Library for machine intelligence.

WebGL-accelerated machine learning JavaScript library for training and deploying models.

Framework that optimizes TensorFlow models for on-device machine learning.

Theory basics for using cryptography by non-cryptographers.

Neural networks.

The most cited deep learning papers.

Evidence-based research on software systems.

Learn to develop your own search engine.

Computing that utilizes quantum mechanics and qubits on quantum computers.

The interplay of computer science and pure mathematics, distinguished by its emphasis on mathematical rigour and technique.

Build awesome chatbots and digital assistants.

Automatically generates a wide range of unique content in text, image, and audio format.

Solving problems in finance with machine learning.

Learning, implementing, and applying Machine Learning using Ruby.

Models for Apple's machine learning framework.

Open source distributed machine learning platform written in Java with APIs in R, Python, and Scala.

From experiment to production-level machine learning.

Automatic differentiation and XLA compilation brought together for high-performance machine learning research.

Providing insight, explanations, and interpretability to machine learning methods.

The science of asking and answering in natural language with a machine.

Generation of text used in data-to-text, conversational agents, and narrative generation applications.