Stars
Module for modifying game executables to support (Super)Ultra(Wide) Aspect(Ratios)
NVIDIA curated collection of educational resources related to general purpose GPU programming.
AI code-writing assistant that understands data content
ArcticDB is a high performance, serverless DataFrame database built for the Python Data Science ecosystem.
A collection of (mostly) technical things every software developer should know about
Master programming by recreating your favorite technologies from scratch.
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
😎 Awesome lists about all kinds of interesting topics
An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
💯 Curated coding interview preparation materials for busy software engineers
A tutorial demonstrating how to implement deep learning models for time series forecasting
Jupyter magics and kernels for working with remote Spark clusters
Ansible for DevOps examples.
An open source ML system for the end-to-end data science lifecycle
PMLS-Caffe: Distributed Deep Learning Framework for Parallel ML System
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
Automatic offload of user-written Spark kernels to accelerators
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more