#
Lists (16)
Starred repositories
148
stars
written in C++
Clear filter
An Open Source Machine Learning Framework for Everyone
A framework for building native applications using React
GPT4All: Run Local LLMs on Any Device. Open-source and available for commercial use.
Dear ImGui: Bloat-free Graphical User interface for C++ with minimal dependencies
LevelDB is a fast key-value storage library written at Google that provides an ordered mapping from string keys to string values.
aria2 is a lightweight multi-protocol & multi-source, cross platform download utility operated in command-line. It supports HTTP/HTTPS, FTP, SFTP, BitTorrent and Metalink.
A library that provides an embeddable, persistent key-value store for fast storage.
Cross-platform, customizable ML solutions for live and streaming media.
Productive, portable, and performant GPU programming in Python.
📚 Modern C++ Tutorial: C++11/14/17/20 On the Fly | https://changkun.de/modern-cpp/
🤖 The free, Open Source alternative to OpenAI, Claude and others. Self-hosted and local-first. Drop-in replacement for OpenAI, running on consumer-grade hardware. No GPU required. Runs gguf, transf…
FlatBuffers: Memory Efficient Serialization Library
DuckDB is an analytical in-process SQL database management system
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
ncnn is a high-performance neural network inference framework optimized for the mobile platform
Distribute and run LLMs with a single file.
An unidentifiable mechanism that helps you bypass GFW.
A modern, C++-native, test framework for unit-tests, TDD and BDD - using C++14, C++17 and later (C++11 support is in v2.x branch, and C++03 on the Catch1.x branch)
Seamless operability between C++11 and Python
A fast JSON parser/generator for C++ with both SAX/DOM style API
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
A toolkit for making real world machine learning and data analysis applications in C++