neuralmagic / sparsifyLinks
ML model optimization product to accelerate inference.
☆324Updated this week
Alternatives and similar repositories for sparsify
Users that are interested in sparsify are comparing it to the libraries listed below
Sorting:
- Neural network model repository for highly sparse and sparse-quantized models with matching sparsification recipes☆386Updated 3 weeks ago
- Top-level directory for documentation and general content☆121Updated 2 weeks ago
- Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models☆2,137Updated last week
- FasterAI: Prune and Distill your models with FastAI and PyTorch☆248Updated 2 months ago
- Sparsity-aware deep learning inference runtime for CPUs☆3,147Updated this week
- Accelerate PyTorch models with ONNX Runtime☆361Updated 3 months ago
- Prune a model while finetuning or training.☆402Updated 2 years ago
- A high-throughput and memory-efficient inference and serving engine for LLMs☆263Updated 7 months ago
- Accelerate your Neural Architecture Search (NAS) through fast, reproducible and modular research.☆477Updated 7 months ago
- DiffQ performs differentiable quantization using pseudo quantization noise. It can automatically tune the number of bits used per weight …☆235Updated 2 years ago
- Implementation of a Transformer, but completely in Triton☆265Updated 3 years ago
- An open-source efficient deep learning framework/compiler, written in python.☆700Updated this week
- Library for 8-bit optimizers and quantization routines.☆716Updated 2 years ago
- An alternative to convolution in neural networks☆254Updated last year
- A library to inspect and extract intermediate layers of PyTorch models.☆473Updated 3 years ago
- Fast Block Sparse Matrices for Pytorch☆545Updated 4 years ago
- ☆310Updated last week
- TorchX is a universal job launcher for PyTorch applications. TorchX is designed to have fast iteration time for training/research and sup…☆366Updated last week
- A research library for pytorch-based neural network pruning, compression, and more.☆162Updated 2 years ago
- Highly optimized inference engine for Binarized Neural Networks☆250Updated 2 weeks ago
- Named tensors with first-class dimensions for PyTorch☆329Updated last year
- The merlin dataloader lets you rapidly load tabular data for training deep leaning models with TensorFlow, PyTorch or JAX☆418Updated last year
- Recipes are a standard, well supported set of blueprints for machine learning engineers to rapidly train models using the latest research…☆318Updated last week
- Fast sparse deep learning on CPUs☆53Updated 2 years ago
- A Python-level JIT compiler designed to make unmodified PyTorch programs faster.☆1,046Updated last year
- High performance model preprocessing library on PyTorch☆650Updated last year
- [Prototype] Tools for the concurrent manipulation of variably sized Tensors.☆251Updated 2 years ago
- 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…☆1,568Updated last year
- An open-source AutoML Library based on PyTorch☆306Updated last month
- Memory mapped numpy arrays of varying shapes☆298Updated 11 months ago