FL33TW00D / wattkitLinks
☆14Updated last year
Alternatives and similar repositories for wattkit
Users that are interested in wattkit are comparing it to the libraries listed below
Sorting:
- ModernBERT model optimized for Apple Neural Engine.☆29Updated last year
- Find out why your CoreML model isn't running on the Neural Engine!☆30Updated last year
- ☆27Updated last year
- Profile your CoreML models directly from Python 🐍☆29Updated 4 months ago
- ☆19Updated last week
- iterate quickly with llama.cpp hot reloading. use the llama.cpp bindings with bun.sh☆50Updated 2 years ago
- ☆140Updated last year
- C API for MLX☆158Updated this week
- Experimental compiler for deep learning models☆73Updated 3 months ago
- Repository for macos accessibility parser☆29Updated 2 months ago
- TensorRT-LLM server with Structured Outputs (JSON) built with Rust☆65Updated 8 months ago
- Supporting code for "LLMs for your iPhone: Whole-Tensor 4 Bit Quantization"☆11Updated last year
- Add local LLMs to your Web or Electron apps! Powered by Rust + WebGPU☆107Updated 2 years ago
- Train small sequence models in your browser with WebGPU.☆32Updated last month
- ☆71Updated last year
- GPU accelerated client-side embeddings for vector search, RAG etc.☆65Updated 2 years ago
- Experimental wasm32-unknown-wasi runtime for Python code execution☆40Updated last year
- jsgrad is a dependency-free ML library in Typescript for model inference and training with support to WebGPU and other runtimes.☆62Updated 8 months ago
- Thin wrapper around GGML to make life easier☆41Updated 2 months ago
- A vector database for querying meaningfully similar data.☆16Updated 10 months ago
- Training Models Daily☆17Updated 2 years ago
- ☆58Updated 2 years ago
- Turing machines, Rule 110, and A::B reversal using Claude 3 Opus.☆58Updated last year
- A diffusers API in Burn (Rust)☆22Updated last year
- Inference Llama 2 in one file of zero-dependency, zero-unsafe Rust☆39Updated 2 years ago
- LLM training in simple, raw C/Metal Shading Language☆60Updated last year
- MLX binary vectors and associated algorithms.☆14Updated 9 months ago
- Unleash the full potential of exascale LLMs on consumer-class GPUs, proven by extensive benchmarks, with no long-term adjustments and min…☆26Updated last year
- ☆15Updated 8 months ago
- WebGPU LLM inference tuned by hand☆151Updated 2 years ago