LLM training in simple, raw C/CUDA

The simplest, fastest repository for training/finetuning medium-sized GPTs.

Machine Learning Pipelines for Kubeflow

Machine Learning Toolkit for Kubernetes

A modern load testing tool, using Go and JavaScript - https://k6.io

Apache Spark - A unified analytics engine for large-scale data processing

The C based gRPC (C++, Python, Ruby, Objective-C, PHP, C#)

Protocol Buffers - Google's data interchange format

FlatBuffers: Memory Efficient Serialization Library

Visual Studio Code

Kepler.gl is a powerful open source geospatial analysis tool for large-scale data sets.

P2P Docker registry capable of distributing TBs of data in seconds

Distributed Evolutionary Algorithms in Python

The Prometheus monitoring system and time series database.

Apache Airflow - A platform to programmatically author, schedule, and monitor workflows

Uber's cross-platform mobile architecture framework.

Hexagonal hierarchical geospatial indexing system

Deep universal probabilistic programming with Python and PyTorch

Cadence is a distributed, scalable, durable, and highly available orchestration engine to execute asynchronous long-running business logic in a scalable and resilient way.

Application Kernel for Containers

Sequential model-based optimization with a `scipy.optimize` interface

Chaos Monkey is a resiliency tool that helps applications tolerate random instance failures.

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

Open Source Computer Vision Library

Linux kernel source tree

The library for web and native user interfaces.

Bitcoin Core integration/staging tree

Build cross-platform desktop apps with JavaScript, HTML, and CSS

Production-Grade Container Scheduling and Management