Model Optimization

unslothPython

A web UI and optimization library for running and fine-tuning open-source AI models locally with 2x faster training and 70% less VRAM.

bitnet.cppPython

Official inference framework for 1-bit LLMs, enabling fast and lossless CPU/GPU inference with significant speed and energy efficiency gains.

dspyPython

A framework for programming language models with Python instead of prompting, enabling modular AI systems with automatic prompt optimization.

MNNC++

A blazing-fast, lightweight deep learning inference engine from Alibaba, optimized for on-device LLMs and Edge AI.

TensorZeroRust

An open-source LLMOps platform unifying gateway, observability, evaluation, optimization, and experimentation for industrial-grade LLM applications.

Awesome Decision Tree PapersPython

A curated collection of research papers on decision, classification, and regression trees with implementations from top ML conferences.

qkerasPython

A quantization extension for Keras that provides drop-in replacement layers for creating quantized deep learning models in TensorFlow.

Auto_ViMLPython

Automatically builds high-performance interpretable machine learning models with minimal features using a single line of code.

ArchaiPython

A Python library for fast, reproducible, and modular Neural Architecture Search (NAS) to generate efficient deep networks.

Adventures in TensorFlow LiteJupyter Notebook

A collection of Jupyter notebooks demonstrating TensorFlow Lite model quantization, conversion, and optimization techniques for deep neural networks.

LoraxPython

A JAX transform that implements LoRA (Low-Rank Adaptation) for efficient fine-tuning of large models with minimal memory overhead.