FQ-ViT
neural-compressor
| FQ-ViT | neural-compressor | |
|---|---|---|
| 2 | 3 | |
| 263 | 1,971 | |
| 0.4% | 4.4% | |
| 1.1 | 9.8 | |
| about 1 year ago | 3 days ago | |
| Python | Python | |
| Apache License 2.0 | Apache License 2.0 |
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
FQ-ViT
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How to quantize a Swin transformer model?
This my implementation on the approach I shared( https://github.com/megvii-research/FQ-ViT ) on a small dataset from kaggle(link: https://www.kaggle.com/datasets/gauravduttakiit/ants-bees) in this notebook :https://colab.research.google.com/drive/1cqnmosPIVZu3e2SwbO_VbevANk5MppVS?usp=sharing
neural-compressor
- Intel Textual Inversion Training on Hugging Face
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An open-source library for optimizing deep learning inference. (1) You select the target optimization, (2) nebullvm searches for the best optimization techniques for your model-hardware configuration, and then (3) serves an optimized model that runs much faster in inference
Open-source projects leveraged by nebullvm include OpenVINO, TensorRT, Intel Neural Compressor, SparseML and DeepSparse, Apache TVM, ONNX Runtime, TFlite and XLA. A huge thank you to the open-source community for developing and maintaining these amazing projects.
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Meet Intel® Neural Compressor: An Open-Source Python Library for Model Compression that Reduces the Model Size and Increases the Speed of Deep Learning Inference for Deployment on CPUs or GPUs
Continue reading | The Github repo for the library can be accessed here.
What are some alternatives?
Efficient-AI-Backbones - Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.
openvino - OpenVINO™ is an open-source toolkit for optimizing and deploying AI inference
Sparsebit - A model compression and acceleration toolbox based on pytorch.
tflite-micro - Infrastructure to enable deployment of ML models to low-power resource-constrained embedded targets (including microcontrollers and digital signal processors).
transformer-quantization
mmrazor - OpenMMLab Model Compression Toolbox and Benchmark.
nebuly - The user analytics platform for LLMs
TensorRT - NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference on NVIDIA GPUs. This repository contains the open source components of TensorRT.
tvm - Open deep learning compiler stack for cpu, gpu and specialized accelerators
Lion - Code for "Lion: Adversarial Distillation of Proprietary Large Language Models (EMNLP 2023)"
sparseml - Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models
deepsparse - Sparsity-aware deep learning inference runtime for CPUs