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Starred repositories
GPT4All: Run Local LLMs on Any Device. Open-source and available for commercial use.
Tesseract Open Source OCR Engine (main repository)
ClickHouse® is a real-time analytics DBMS
Cross-platform, customizable ML solutions for live and streaming media.
Cloud-native high-performance edge/middle/service proxy
DuckDB is an analytical in-process SQL database management system
Official home of the DB Browser for SQLite (DB4S) project. Previously known as "SQLite Database Browser" and "Database Browser for SQLite". Website at:
Distribute and run LLMs with a single file.
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 …
Apache Arrow is a multi-language toolbox for accelerated data interchange and in-memory processing
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
Development repository for the Triton language and compiler
Redpanda is a streaming data platform for developers. Kafka API compatible. 10x faster. No ZooKeeper. No JVM!
WasmEdge is a lightweight, high-performance, and extensible WebAssembly runtime for cloud native, edge, and decentralized applications. It powers serverless apps, embedded functions, microservices,…
A data visualization and analytics component, especially well-suited for large and/or streaming datasets.
LostRuins / koboldcpp
Forked from ggerganov/llama.cppRun GGUF models easily with a KoboldAI UI. One File. Zero Install.
QOwnNotes is a plain-text file notepad and todo-list manager with Markdown support and Nextcloud / ownCloud integration.
Research programming language for concurrent ownership
Stable Diffusion and Flux in pure C/C++
Performance instrumentation and tracing for Android, Linux and Chrome (read-only mirror of https://android.googlesource.com/platform/external/perfetto/)
Packages your JAR, assets and a JVM for distribution on Windows, Linux and Mac OS X
A machine learning compiler for GPUs, CPUs, and ML accelerators