Blender Integration for LuxCore
Powerful and versatile visualization for Python.
Helpful kernel tutorials, examples and SKILLs for tile-based GPU programming
Single-GPU LLM fine-tuning preflight: memory estimates, runnable LoRA/QLoRA recipes, and local measurements.
GVS5H: Five Qwen3.8-27B Models Match Claude Fable 5 on LiveCodeBench Hard | Fable 5 Level Coding for a Fifth the Price - or on a Single GPU
DSL and compiler framework for automated finite-differences and stencil computation
WebGPU for Python
Backend.AI is a streamlined, container-based computing cluster platform that hosts popular computing/ML frameworks and diverse programming languages, with pluggable heterogeneous accelerator support including CUDA GPU, ROCm GPU, Gaudi NPU, Google TPU, GraphCore IPU and other NPUs.
An app and guide to easily configure Windows, Linux, MacOS, Google TV, Stremio, Home Assistant and more (including WSL2, GPU drivers & development tools). Improve your UX & productivity.
ComfyUI extension that enables multi-GPU processing locally, remotely and in the cloud
A code generator for array-based code on CPUs and GPUs
Measuring how well CLI agents like Claude Code or Codex CLI can post-train base LLMs on a single H100 GPU in 10 hours
Real-time anomaly detection for time series metrics. 11 years of production anomaly detection evolution. Multi-algorithm ensembles. Pattern recognition using semi-supervised and unsupervised learning. Correlation analysis. Learns and gets better over time. No GPU required, can run on a VPS.
Claude Code / Codex skills that turn a video into a Chinese narration recap (视频解说): scene detection, ASR, VLM, script, TTS, ffmpeg assembly, optional editable JianYing / CapCut draft export (剪映草稿导出). Local ffmpeg + one MiMo key, no GPU. | 用 Claude Code skills 把视频做成中文解说成片,可选一键导出可编辑剪映草稿。
Zero-copy MPI communication of JAX arrays, for turbo-charged HPC applications in Python :zap:
Triton Model Analyzer is a CLI tool to help with better understanding of the compute and memory requirements of the Triton Inference Server models.
Visionary: The World Model Carrier Built on WebGPU-Powered Gaussian Splatting Platform
A model predictive controller for quadruped robots based on the single rigid body model and written in python. Gradient-based (acados) or Sampling-based (jax)
Examples for Cerebrium Serverless GPUs
[IROS 2025] OceanSim: A GPU-Accelerated Underwater Robot Perception Simulation Framework
早耳 - Real-time multilingual speech-to-text on CPU only. Live subtitles, browser dashboard, speaker labels, translation. No GPU, no cloud.
Silent Crypto Miner is an advanced cryptocurrency mining builder and runtime engine with multi-algorithm CPU/GPU support and intelligent resource management. Create custom mining executables with configurable algorithms, cross-platform output, real-time monitoring, session persistence, thermal throttling, scheduling, and hashrate optimization.
Run CUDA-targeted Windows applications on AMD GPUs with ZLUDA + ROCm/HIP.
GLM-5.3-Flash EXL3 on one 24 GB RTX 3090 + DDR4: elastic GPU expert cache, zero-copy experts, AVX2 CPU tier, OpenAI API
verl for a single consumer GPU. PPO, GRPO and on-policy distillation on NVIDIA GPUs.
Calibrated 151M Non-Autoregressive Decision Engine beating TypeSafe Jev & Laya on LocalLLaMA/typed-decisions (77.10% acc, 0.0636 Brier, 0.0144 ECE)
Upscale long, high-resolution MiniMax H3 video on a VRAM-limited GPU in a single node.
Run Googlebook OS in a GPU-accelerated VM on Apple Silicon Macs
Autoregressive primitive-operation painter with GPU image-to-sequence converter
A small neural model for parsing date & time
Multi-chain crypto wallet risk scanner for AML/KYT screening. Scores addresses 0–100 using sanctions, risky contracts and fund tracing. Integrates 6 intelligence providers with failover, detects scams, hacks, mixers and phishing, supports 15+ chains, batch screening and TXT/JSON/CSV/HTML/PDF reports. Python, cross-platform.
Open recipes, engine patches, and benchmark harnesses for LLM inference on Intel Arc Pro B60/B70 (Battlemage, Xe2). MoE 35B at 160 t/s decode / 7.5K t/s prefill single-stream, 27B at 50~ t/s decode / 1.7K t/s prefill single stream. vLLM XPU MTP unlocked. Muse Glimmer recipe added!!
Hand-written NVFP4 W4A16 CUDA kernels for Volta
An open-source execution engine for AI-SQL and LLM-powered dataflow
The fastest way to run Qwen3.8 27B on Strix Halo (gfx1151)
Turn world-model imagination into corrective training data for robot policies — a single-GPU, falsifiable pipeline (SmolVLA · LIBERO · CEM · paired simulator replays).
GPU 性能与 AI Infra 学习项目:CUDA/Triton 算子、NCU/NSYS、vLLM/SGLang/TRT-LLM/ms-swift、PyTorch/DeepSpeed/ms-swift 训练、并行架构
Codeberg fork of StillDeadcode / vllm-radiance which is a custom vllm tuned for R9700 GPU's
VietAIDetector: A robust, zero-shot AI-generated text detection system for Vietnamese. Built on the VietBinoculars algorithm with PhoGPT-4B and featuring Vintern-1B VLM for scanned PDF OCR. Optimized for dual-GPU environments with a Gradio Web UI.
Qwen3.8-Flash-Next on 2× RTX 3090: with 128 GB RAM up to 4,191 tok/s prefill · 111.5 tok/s decode (131K prompt), full 256K window at 2,865 tok/s; with 64 GB RAM 3,410 tok/s prefill · 84 tok/s decode. New: opt-in uncensored mode (runtime abliteration, no new weights).
MiniMax-H3 multi-GPU inference acceleration: ~12x on 8x RTX 6000D (step distillation + SageAttention2 + Cache-DiT + torch.compile, TP2+Ulysses4 on sglang)
本地 Codex 连接服务器 Codex CLI:通过 SSH 反向隧道共享本地 HTTP 代理或直连网络,适用于 AutoDL 等 GPU 科研服务器。含 Python 转发器、PowerShell 隧道脚本、中文教程与测试。
Non-autoregressive decision engine on ModernBERT (151M) with calibrated uncertainty (RLCD), TypeSafe AI Jev benchmark audit, and in-browser WebGPU playground
Pretrained text classifiers you can run and retrain on CPU
Fast, concurrent inference for YuE2. Same model and recipe: 1.68× faster per song, 3.31× more songs per GPU.
Train LoRAs for Qwen-Image 2.1, FLUX.2 Klein 9B, FLUX.3 Image Klein, Krea 2, Z-Image, MOSS-Image, ERNIE-Image, Ideogram 4, Anima, SDXL (Pony, Illustrious, NoobAI), LTX 2.3, MiniMax-H3, and more on NVIDIA GPUs from 4–8 GB VRAM. One install, one launcher, NF4 models. Windows, Linux and RunPod.
由 AI 自动完成 AutoDL 实例开关机的 Claude Code skill,含空闲自动关机、预算核对与用量记账
OceanScale — GPU-native ocean simulator for underwater robotics (source alpha)
A 49M-parameter Kimi K3-inspired language model trainable on one 8GB GPU
A local app that rents a GPU in your own Colab account and serves Qwen3.8 on it: 27B on an A100-40G, or Flash-Next (125B-A6B MoE) on an A100-80G. The cost is shown before it starts; chat with images; Codex or any OpenAI client uses a fixed local /v1. Auto-stop, CU ledger, live prefill/decode. Windows, macOS, Linux.
AISimulate predicts LLM serving behavior and searches for strong deployment configurations offline, without bringing up a GPU serving cluster
CuteTTS: a lightweight continuous autoregressive TTS model that runs efficiently on GPUs, CPUs, and Apple silicon.
GPU-native NVIDIA video enhancement, restoration, temporal analysis, and experimental DLSS 5 Neural Rendering nodes for ComfyUI.
Capping GPU clocks on NVIDIA GB10: -12C peak temp, -36% GPU power, ~1.6% throughput cost. Measurement harness, raw data, and the systemd unit.
Easy, fast, and memory-efficient structure prediction inference
DLSS 5 Neural Rendering on an Intel Xe2 iGPU: an independent reimplementation of the inference pass, running in a real game through a Vulkan layer. Code only. No NVIDIA binaries, no weights.
built around a 2.5B math model that fits on one GPU or a laptop.
Fastest validated sglang recipe for Qwen3.8-27B (AWQ-INT4 + DSpark) on RTX 3090s — 1×/2×/4× GPU presets, image+video, full benchmarks
Clonación de voz y texto a voz 100% local con Qwen3-TTS y llama.cpp. Funciona en CPU y GPU, 10 idiomas, interfaz web en español.
Bring the Steam Machine’s 17-LED strip to life with Steam event alerts, game artwork, launch animations, custom effects, live weather, CPU/GPU monitoring, controller battery levels, and real-time screen color sync.