neuralmagic / sparsezooLinks
Neural network model repository for highly sparse and sparse-quantized models with matching sparsification recipes
☆391Updated 2 months ago
Alternatives and similar repositories for sparsezoo
Users that are interested in sparsezoo are comparing it to the libraries listed below
Sorting:
- ML model optimization product to accelerate inference.☆326Updated 2 months ago
- Top-level directory for documentation and general content☆121Updated 2 months ago
- Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models☆2,145Updated 2 months ago
- Sparsity-aware deep learning inference runtime for CPUs☆3,157Updated 2 months ago
- An open-source efficient deep learning framework/compiler, written in python.☆718Updated last month
- A Python-level JIT compiler designed to make unmodified PyTorch programs faster.☆1,059Updated last year
- Model Compression Toolkit (MCT) is an open source project for neural network model optimization under efficient, constrained hardware. Th…☆412Updated last month
- Prune a model while finetuning or training.☆403Updated 3 years ago
- Accelerate PyTorch models with ONNX Runtime☆363Updated 6 months ago
- Recipes are a standard, well supported set of blueprints for machine learning engineers to rapidly train models using the latest research…☆325Updated last week
- Accelerate your Neural Architecture Search (NAS) through fast, reproducible and modular research.☆480Updated 10 months ago
- ☆325Updated 3 weeks ago
- Implementation of a Transformer, but completely in Triton☆273Updated 3 years ago
- ONNX Script enables developers to naturally author ONNX functions and models using a subset of Python.☆376Updated last week
- Fast sparse deep learning on CPUs☆54Updated 2 years ago
- An Open-Source Library for Training Binarized Neural Networks☆720Updated last year
- Library for 8-bit optimizers and quantization routines.☆777Updated 3 years ago
- Examples for using ONNX Runtime for model training.☆340Updated 10 months ago
- ML model training for edge devices☆166Updated last year
- Kernl lets you run PyTorch transformer models several times faster on GPU with a single line of code, and is designed to be easily hackab…☆1,581Updated last year
- FasterAI: Prune and Distill your models with FastAI and PyTorch☆249Updated 2 months ago
- DiffQ performs differentiable quantization using pseudo quantization noise. It can automatically tune the number of bits used per weight …☆236Updated 2 years ago
- ☆251Updated last year
- Common utilities for ONNX converters☆277Updated this week
- A high-throughput and memory-efficient inference and serving engine for LLMs☆266Updated 10 months ago
- Pipeline Parallelism for PyTorch☆775Updated last year
- Official code for "Distributed Deep Learning in Open Collaborations" (NeurIPS 2021)☆117Updated 3 years ago
- onnxruntime-extensions: A specialized pre- and post- processing library for ONNX Runtime☆409Updated 2 weeks ago
- Easily benchmark PyTorch model FLOPs, latency, throughput, allocated gpu memory and energy consumption☆106Updated 2 years ago
- SOTA low-bit LLM quantization (INT8/FP8/INT4/FP4/NF4) & sparsity; leading model compression techniques on TensorFlow, PyTorch, and ONNX R…☆2,482Updated this week