neuralmagic / sparsifyLinks
ML model optimization product to accelerate inference.
☆326Updated 2 months ago
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☆391Updated 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
- Accelerate PyTorch models with ONNX Runtime☆363Updated 6 months ago
- FasterAI: Prune and Distill your models with FastAI and PyTorch☆249Updated 2 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
- A Python-level JIT compiler designed to make unmodified PyTorch programs faster.☆1,059Updated last year
- 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
- Implementation of a Transformer, but completely in Triton☆273Updated 3 years ago
- Library for 8-bit optimizers and quantization routines.☆777Updated 3 years ago
- Lite Inference Toolkit (LIT) for PyTorch☆161Updated 3 years ago
- The merlin dataloader lets you rapidly load tabular data for training deep leaning models with TensorFlow, PyTorch or JAX☆420Updated last year
- DiffQ performs differentiable quantization using pseudo quantization noise. It can automatically tune the number of bits used per weight …☆236Updated 2 years ago
- Accelerate your Neural Architecture Search (NAS) through fast, reproducible and modular research.☆480Updated 10 months ago
- IDE for PyTorch and its ecosystem☆391Updated last year
- TorchX is a universal job launcher for PyTorch applications. TorchX is designed to have fast iteration time for training/research and sup…☆383Updated last week
- Examples for using ONNX Runtime for model training.☆340Updated 10 months ago
- Curated list of awesome material on optimization techniques to make artificial intelligence faster and more efficient 🚀☆118Updated last year
- Prune a model while finetuning or training.☆403Updated 3 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…☆1,581Updated last year
- Official code for "Distributed Deep Learning in Open Collaborations" (NeurIPS 2021)☆117Updated 3 years ago
- Memory mapped numpy arrays of varying shapes☆300Updated last year
- An open-source AutoML Library based on PyTorch☆306Updated last month
- Lightning HPO & Training Studio App☆18Updated 2 years ago
- ONNX Script enables developers to naturally author ONNX functions and models using a subset of Python.☆376Updated last week
- ☆325Updated 3 weeks ago
- A library to inspect and extract intermediate layers of PyTorch models.☆473Updated 3 years ago
- A library that contains a rich collection of performant PyTorch model metrics, a simple interface to create new metrics, a toolkit to fac…☆236Updated last week
- Swarm training framework using Haiku + JAX + Ray for layer parallel transformer language models on unreliable, heterogeneous nodes☆241Updated 2 years ago