The open-source AI voice studio. Clone, dictate, create.
- ai
- voice-clone
- qwen3-tts
- voice-ai
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The open-source AI voice studio. Clone, dictate, create.
LLM training in simple, raw C/CUDA
Instant neural graphics primitives: lightning fast NeRF and more
Burn is a next generation tensor library and Deep Learning Framework that doesn't compromise on flexibility, efficiency and portability.
kaldi-asr/kaldi is the official location of the Kaldi project.
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.
NVIDIA cuML: GPU-Accelerated Machine Learning
Optimized primitives for collective multi-GPU communication
Self-hosted, local only NVR and AI Computer Vision software. With features such as object detection, motion detection, face recognition and more, it gives you the power to keep an eye on your home, office or any other place you want to monitor.
Serve large Qwen models fast on the GPUs you actually own. Qwen3.8-27B on a single 24 GB card with vLLM: 127 tok/s single-user (381 when the answer quotes the prompt), ~1,035 tok/s at 64 concurrent, 150k-262k context. vLLM patches, requant pipeline, benchmarks.
Project Maya - run GLM-5.3-Flash (321B MoE), DeepSeek-V4.1-Flash-1017 (748B MoE) and MiniMax-M3.1-Flash (428B MoE) privately on your own GPU(s), from one card to 16, NVIDIA or AMD, Linux or Windows. Engine, server, dashboard, OpenAI- and Anthropic-compatible API, quant tools.
Local AI song generator with an editable score — YuE2 on your GPU: full songs with vocals, sheet music, covers, exact replay. Native Windows app, no Python, installer with auto-update.
ThunderSVM: A Fast SVM Library on GPUs and CPUs
MatConvNet: CNNs for MATLAB
Thin, unified, C++-flavored wrappers for the CUDA APIs
ThunderGBM: Fast GBDTs and Random Forests on GPUs
A GPU implementation of Convolutional Neural Nets in C++
Exascale multiphase flow solver — 2025 Gordon Bell Prize Finalist | 200T grid points on 43K+ GPUs
Turkish voice design with VoxCPM2 on a 4 GB GPU: describe a voice, pick a variant, read text in 30 languages. Patched audio.cpp, local UI in 30 languages, 14 ready-made voices.
High-performance Bayesian Data Analysis on the GPU in Clojure
CEED Library: Code for Efficient Extensible Discretizations
Kubernetes operator for self-hosted LLM inference across a heterogeneous GPU fleet: NVIDIA CUDA, AMD Vulkan, and Apple Silicon Metal. Runtimes: llama.cpp, vLLM, TGI, mlx-server. Multi-GPU sharding, model caching, OpenAI-compatible endpoints. Apache-2.0, run across homelab and on-prem fleets, actively developed.
Clojure library for CUDA development
Latest hashcat docker for CUDA, OpenCL, and POCL. Deployed on Vast.ai