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238 search results found

Vectorsinsearch ⭐ 59

Dice.com repo to accompany the dice.com 'Vectors in Search' talk by Simon Hughes, from the Activate 2018 search conference, and the 'Searching with Vectors' talk from Haystack 2019 (US). Builds upon my conceptual search and semantic search work from 2015

Generalized Product Quantization Network For Semi-supervised Image Retrieval - CVPR 2020

Dnn Quant Ocs ⭐ 53

DNN quantization with outlier channel splitting

Tensorflow Quantization Test ⭐ 52

Tensorflow quantization (float32-->int8) inference test

[ICLR 2022 Oral] F8Net: Fixed-Point 8-bit Only Multiplication for Network Quantization

Color_trace ⭐ 49

Traces multiple color images using potrace. This is similar to Inkscape's Trace Bitmap function.

Selected_track_control ⭐ 47

MIDI Remote Script to control the currently selected track in Ableton Live with common MIDI messages.

Ai8x Synthesis ⭐ 46

Quantization and Synthesis (Device Specific Code Generation) for ADI's MAX78000 and MAX78002 AI Devices

Pytorch_dorefanet ⭐ 45

A pytorch implementation of DoReFa-Net

Tensorquant ⭐ 44

Recursive Self-Organizing Map/Neural Gas.

Moore Machine Networks (MMN): Learning Finite-State Representations of Recurrent Policy Networks

Iclassifier ⭐ 40

reference pytorch code for intent classification

Zaq Code ⭐ 40

CVPR 2021 : Zero-shot Adversarial Quantization (ZAQ)

[ICML'21] I-BERT: Integer-only BERT Quantization

A Python library for extracting color palettes from supplied images.

Calibtip ⭐ 39

Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming

Midi_to_tidalcycles ⭐ 39

Command line tool for converting polyphonic MIDI phrases to TidalCycles syntax

Pytorch_quantization ⭐ 38

A pytorch implementation of dorefa quantization

QuaRL is an open-source framework for systematically studying the effect of applying quantization to reinforcement learning algorithms.

Unofficial implementation of LSQ-Net, a neural network quantization framework

Metaquant ⭐ 36

Codes for Accepted Paper : "MetaQuant: Learning to Quantize by Learning to Penetrate Non-differentiable Quantization" in NeurIPS 2019

BitPack is a practical tool to efficiently save ultra-low precision/mixed-precision quantized models.

pytorch implementation of "Differentiable Soft Quantization: Bridging Full-Precision and Low-Bit Neural Networks"

Lc Model Compression ⭐ 34

Model compression by constrained optimization, using the Learning-Compression (LC) algorithm

Color_distillation ⭐ 33

Codes for CVPR 2020 paper "Learning to Structure an Image with Few Colors". Critical structure for network recognition. #explainable-ai

Aaai17 Cdq ⭐ 31

The implementation of AAAI-17 paper "Collective Deep Quantization of Efficient Cross-modal Retrieval"

Compression schema for gradients of activations in backward pass

Quantization.mxnet ⭐ 30

Simulate quantization and quantize aware train for MXNet-Gluon models.

SDK for TEE AI Stick (includes model training script, inference library, examples)

Product Quantization ⭐ 27

🙃Implementation of vector quantization algorithms, codes for Norm-Explicit Quantization: Improving Vector Quantization for Maximum Inner Product Search..

NEural Minimizer for pytOrch

Lixinger Openapi ⭐ 27

理杏仁开发平台python api(非官方)

Octree_color_quantizer ⭐ 26

Octree color quantizer in Python

Write MMCQ(https://github.com/lokesh/color-thief/blob/ma in python

Codes for AAAI2019 paper: Deep Neural Network Quantization via Layer-Wise Optimization using Limited Training Data

Llama2gptq ⭐ 25

Chat to LLaMa 2 that also provides responses with reference documents over vector database. Locally available model using GPTQ 4bit quantization.

Calibtip ⭐ 25

Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming

Cnn Compression Performance ⭐ 24

A python script that automatise the training of a CNN, compress it through tensorflow (or ristretto) plugin, and compares the performance of the two networks

Nnet Compression Generalization ⭐ 23

Pytorch_cnn_trainer ⭐ 23

A simple but powerful CNN trainer for PyTorch

Sklearn Lvq ⭐ 21

sklearn compatible implementation of generalized vector quantization algorithms

It's All In the Teacher: Zero-Shot Quantization Brought Closer to the Teacher [CVPR 2022 Oral]

Edge Tpu Tiny Yolo ⭐ 21

Run Tiny YOLO-v3 on Google's Edge TPU USB Accelerator.

Loss Aware Weight Quantization ⭐ 21

Implementation of ICLR 2018 paper "Loss-aware Weight Quantization of Deep Networks"

Pytorch Ocr ⭐ 20

Python Implementation for Linde-Buzo-Gray / Generalized Lloyd Algorithm for vector quantization.

Stable Diffusion Streamlit ⭐ 20

Quantized stable-diffusion cutting down memory 75%, testing in streamlit, deploying in container

Static_bfp_cnn ⭐ 20

Static Block Floating Point Quantization for CNN

Yolov5 Light ⭐ 19

provide some new architecture, channel pruning and quantization methods for yolov5

Prototorch ⭐ 19

ProtoTorch is a PyTorch-based Python toolbox for bleeding-edge research in prototype-based machine learning algorithms.

[FPGA'21] CoDeNet is an efficient object detection model on PyTorch, with SOTA performance on VOC and COCO based on CenterNet and Co-Designed deformable convolution.

Neuralzip ⭐ 19

A Out-of-box PyTorch Scaffold for Neural Network Quantization-Aware-Training (QAT) Research. Website: https://github.com/zhutmost/neuralzip

[ECCV 2020] Official repository of "Resolution Switchable Networks for Runtime Efficient Image Recognition" , in PyTorch and TensorFlow

Fat Fast Adjustable Threshold ⭐ 17

This is th code to FAT method with links to quantized tflite models. (CC BY-NC-ND)

Training Mixed Precision Quantized Networks ⭐ 17

This repository containts the pytorch scripts to train mixed-precision networks for microcontroller deployment, based on the memory contraints of the target device.

Intllama ⭐ 17

IntLLaMA: A fast and light quantization solution for LLaMA

Proxquant ⭐ 17

ProxQuant: Quantized Neural Networks via Proximal Operators

Image Quantizer ⭐ 15

Color image quantization

Mqbench_quantize ⭐ 14

QAT(quantize aware training) for classification with MQBench

Tensorflow Quantization ⭐ 14

Experiments and tool-chains build upon TensorFlow and its quantization tools

Pngquant ⭐ 14

A Python Wrapper of Pngquant

Towards Effective Low Bitwidth Convolutional Neural Networks ⭐ 14

This repository implements the paper "Effective Training of Convolutional Neural Networks with Low-bitwidth Weights and Activations"

Tensorflow Quantization Example ⭐ 14

TensorFlow Quantization Example, for TensorFlow Lite

Binary Neural Networks ⭐ 14

Exploring "Binary Neural Networks" (https://arxiv.org/abs/1602.02830) in Theano. A set of experiments that use binarised weights and/or activations to reduce computational load of convolutional neural networks.

Dpq_embedding_compression ⭐ 13

Differentiable Product Quantization for End-to-End Embedding Compression.

PyTorch implementation of "Deep Transferring Quantization" (ECCV2020)

Coarsehash ⭐ 13

Benchmark datasets used in ICRA 2020 paper: Fast, Compact and Highly Scalable Visual Place Recognition through Sequence-based Matching of Overloaded Representations

Tensorflowlite Flexdelegate ⭐ 12

This is a repository for checking the operation of Flex Delegate of Tensorflow.

Lightweight Low Resource Nmt ⭐ 12

Official code for "Too Brittle To Touch: Comparing the Stability of Quantization and Distillation Towards Developing Lightweight Low-Resource MT Models" to appear in WMT 2022.

Proximal Mean-field for Neural Network Quantization

RNN-SM: Fast Steganalysis of VoIP Streams Using Recurrent Neural Network, T-IFS

Pytorch Quantity ⭐ 12

An 8bit automated quantization conversion tool for the pytorch (Post-training quantization based on KL divergence)

Yolov3 Quantization Model V1.0 ⭐ 12

YOLOv3 quantization model v10, only for quantization off-line

Data Free_network_quantization_with_adversarial_knowledge_distillation ⭐ 11

Data-Free Network Quantization With Adversarial Knowledge Distillation PyTorch

Shuffledet ⭐ 11

this work is based on https://github.com/BichenWuUCB/squeezeDet, what different is that: - we changed squeezenet part in squeedet into shufflenetv2. - we build the classification task on ImageNet so you can pretrain the shufflenetv2 by yourself. - we do the quantization of weights and activitions and fusion the BN layer into convolution layer.

Quantized_resnet ⭐ 11

This repo is an implementation of quantized CNN for both weights (1-bit compression) and feature maps (2-bit compression).

Tensorrt_ex ⭐ 11

Deep Learning Model Optimization Using by TensorRT API, window

Pytorch_quantization ⭐ 11

Test scripts for exploring PyTorch JIT and quantization capability

Pytorch Static Quantization ⭐ 10

PyTorch Static Quantization Example

Image Optimizer ⭐ 10

Optimize any image by chroma subsampling and optimized huffman coding in Python.

Torchhalp ⭐ 10

Adaptive Quantization Modules ⭐ 10

Code for "Online Learned Continual Compression with Adaptive Quantization Modules"

Instruct Finetune Mistral ⭐ 10

Fine-tune Mistral 7B to generate fashion style suggestions

Pointnet Encoder And Foldingnet Decoder Add Quantization Change Latent Code Size From 512 To 1024 ⭐ 10

Pytorch Quant ⭐ 9

DL quantization for pytorch

Pocket Cnn ⭐ 9

CNN-to-FPGA-framework for small CNN, written in VHDL and Python

Awd Lstm Tensorflow ⭐ 9

AWD-LSTM from "Regularizing and Optimizing LSTM Language Models" with training-award quantization support for tensorflow.

TopQuant.vip极宽量化(原zw量化)，中国新量化，python量化的启蒙人与开拓者。Top (original ZW Quant), New Quantization in China, Enlightenment and Pioneer of Python Quantization.

Tensorflow_model_quantization ⭐ 8

A tutorial of model quantization using TensorFlow

Optimum Openvino ⭐ 8

Intel OpenVINO extension for Hugging Face Transformers

Pytorch Quantization Aware Training ⭐ 8

PyTorch Quantization Aware Training Example

Full Quantization Dnn ⭐ 8

PyTorch code for full quantization of DNN using BCGD

Markovdrummer ⭐ 8

An experiment in algorithmic generation of drum grooves.

Convert Polyai Torch ⭐ 8

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