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Michael-A-Kuykendall
⚡ Pure-Rust WebGPU inference engine — OpenAI-API compatible, GGUF native, runs on any GPU. No Python. No llama.cpp. Single binary.
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91 Skills
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Explore the skillMichael-A-Kuykendall
⚡ Pure-Rust WebGPU inference engine — OpenAI-API compatible, GGUF native, runs on any GPU. No Python. No llama.cpp. Single binary.
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Explore the skilltianshiyeben
Linux运维监控工具,支持系统硬件信息,内存,CPU,温度,磁盘空间及IO,硬盘smart,GPU,防火墙,网络流量速率等监控,服务接口监测,大屏展示,拓扑图,端口监控,进程监控,docker监控,日志监控,文件防篡改,数据库监控,指令批量下发执行,web ssh,Linux面板(探针),告警,SNMP监测,K8S,Redis,Ngi…
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Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.
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Explore the skillpatrick-kidger
Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/
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Explore the skillFedML-AI
FEDML - The unified and scalable ML library for large-scale distributed training, model serving, and federated learning. FEDML Launch, a cross-cloud scheduler, further e…
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Run Keras models in the browser, with GPU support using WebGL
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Fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillions of parameters
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Self-host the powerful Chatterbox TTS model. This server offers a user-friendly Web UI, flexible API endpoints (incl. OpenAI compatible), predefined voices, voice clonin…
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GPU-accelerated force graph layout and rendering
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Explore the skillAlexsJones
Detect local hardware (RAM, CPU, GPU/VRAM) and recommend the best-fit local LLM models with optimal quantization, speed estimates, and fit scoring.
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Explore the skillToni-SM
Modular Reinforcement Learning (RL) library (implemented in PyTorch, JAX, and NVIDIA Warp) with support for Gymnasium/Gym, NVIDIA Isaac Lab, MuJoCo Playground and other…
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Explore the skillwanshuiyin
Workflow 1.5: Bridge between idea discovery and auto review. Reads EXPERIMENT_PLAN.md, implements experiment code, deploys to GPU, collects initial results. Use when use…
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Explore the skillOrchestra-Research
Parameter-efficient fine-tuning for LLMs using LoRA, QLoRA, and 25+ methods. Use when fine-tuning large models (7B-70B) with limited GPU memory, when you need to train <…