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THE FIRST COLLECTIONEclipse Deeplearning4J (DL4J) is a JVM-based deep learning ecosystem supporting Java, Scala, Kotlin, and more. It includes model import from Keras, TensorFlow, ONNX; ND4J for linear algebra; SameDiff for automatic differentiation; DataVec for ETL; and runs on CPU/GPU across Windows, Linux, macOS.
fastai is a deep learning library built on PyTorch that provides both high-level components for rapid productivity and low-level components for research and customization.
AetherGrid is a distributed AI workload orchestrator built with strict Domain-Driven Design, featuring lease-based execution ownership, event-driven reconciliation, API key auth, and a React dashboard.
Shared GPU infrastructure for the gogpu ecosystem, providing interfaces for GPU resource sharing, window management, and event handling.
PyTorch is an open-source machine learning library providing tensor computation with GPU acceleration and a flexible deep neural network framework based on a tape-based autograd system.
A tiny GPT language model (~540M parameters) designed to be trained from scratch on consumer laptop hardware, with pretraining on Fineweb-edu and chat finetuning capabilities.
Neovide is a graphical user interface client for Neovim, designed to provide graphical improvements while maintaining the functionality of the terminal UI.
A macOS menu bar system monitor displaying CPU, GPU, memory, disk, network, battery, sensor, Bluetooth, and clock information. Supports macOS 12+ with 30+ language translations.
rontolisp is a Common Lisp subset implemented in Java, featuring an interpreter and compilers for both the JVM and WebAssembly (WASM).
Alacritty is a fast, cross-platform OpenGL terminal emulator with sensible defaults, extensive TOML configuration, and GPU-accelerated performance on BSD, Linux, macOS, and Windows.
CatBoost is Yandex's open-source gradient boosting library for classification, regression and ranking, with native categorical feature support, CPU/GPU training, distributed training via Apache Spark, and APIs for Python, R, Java and C++.
Gyroflow is a cross-platform video stabilization application that uses gyroscope and accelerometer motion data from cameras or external sensors, with GPU processing, rolling shutter correction, lens profiles, keyframes, render queues, and video editor plugins.
FragmentColor is a cross-platform GPU abstraction for Rust, JS, Python, Swift, and Kotlin. It simplifies shader workflows using WGSL/GLSL across Vulkan, Metal, DirectX, and WebGPU.
Scalene is a high-performance CPU, GPU, and memory profiler for Python that provides line-level analysis and AI-powered optimization suggestions.
DeepSpeed is a deep learning optimization library designed to make the training and inference of large-scale models easy, efficient, and effective.
NVIDIA cuDF is a GPU-accelerated DataFrame library for tabular data processing, part of the CUDA-X suite. It provides pandas-compatible APIs, a Polars GPU engine, and a Dask backend for high-performance data manipulation.
Apache TVM is an open machine learning compilation framework designed for universal deployment and customizable compiler pipelines.
Elemental is a low-level, cross-platform GPU programming library providing a simple C API over Direct3D 12, Vulkan, and Metal.
