model-compression | Topic | Ecosyste.ms: Repos

Topic: "model-compression"

Hulalazz/A-_Guide_-to_Data_Sciecne_from_mathematics

It is a blueprint to data science from the mathematics to algorithms. It is not completed.

Language: HTML - Size: 27.9 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 47 - Forks: 18

htqin/BiBench

This project is the official implementation of our accepted ICML 2023 paper BiBench: Benchmarking and Analyzing Network Binarization.

Language: Python - Size: 110 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 41 - Forks: 3

mlzxy/qsparse

Train neural networks with joint quantization and pruning on both weights and activations using any pytorch modules

Language: Python - Size: 293 KB - Last synced at: 15 days ago - Pushed at: over 2 years ago - Stars: 41 - Forks: 2

ZexinChen/FastPose

pytorch realtime multi person keypoint estimation

Language: Jupyter Notebook - Size: 7.68 MB - Last synced at: about 1 year ago - Pushed at: over 6 years ago - Stars: 39 - Forks: 10

thtang/DLCV2018SPRING

Deep Learning for Computer Vision (CommE 5052) in NTU

Language: Jupyter Notebook - Size: 511 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 38 - Forks: 12

Zhen-Dong/BitPack

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

Language: Python - Size: 163 KB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 37 - Forks: 8

Vocabulary Trimming (VT) is a model compression technique, which reduces a multilingual LM vocabulary to a target language by deleting irrelevant tokens from its vocabulary. This repository contains a python-library vocabtrimmer, that remove irrelevant tokens from a multilingual LM vocabulary for the target language.

Language: Python - Size: 17.4 MB - Last synced at: 17 days ago - Pushed at: 6 months ago - Stars: 35 - Forks: 1

GATECH-EIC/DepthShrinker

[ICML 2022] "DepthShrinker: A New Compression Paradigm Towards Boosting Real-Hardware Efficiency of Compact Neural Networks", by Yonggan Fu, Haichuan Yang, Jiayi Yuan, Meng Li, Cheng Wan, Raghuraman Krishnamoorthi, Vikas Chandra, Yingyan Lin

Size: 4.88 KB - Last synced at: about 1 year ago - Pushed at: almost 3 years ago - Stars: 35 - Forks: 1

yashbhalgat/QualcommAI-MicroNet-submission-MixNet

3rd place solution for NeurIPS 2019 MicroNet challenge

Language: Python - Size: 9.72 MB - Last synced at: 5 months ago - Pushed at: over 5 years ago - Stars: 35 - Forks: 6

twinkle0331/LGTM

[ACL 2023] Code for paper “Tailoring Instructions to Student’s Learning Levels Boosts Knowledge Distillation”(https://arxiv.org/abs/2305.09651)

Language: Python - Size: 536 KB - Last synced at: over 1 year ago - Pushed at: almost 2 years ago - Stars: 32 - Forks: 2

cheneydon/efficient-bert

This repository contains the code for the paper in Findings of EMNLP 2021: "EfficientBERT: Progressively Searching Multilayer Perceptron via Warm-up Knowledge Distillation".

Language: Python - Size: 120 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 31 - Forks: 4

kssteven418/Q-ASR

[ICASSP'22] Integer-only Zero-shot Quantization for Efficient Speech Recognition

Language: Jupyter Notebook - Size: 41.9 MB - Last synced at: 21 days ago - Pushed at: over 3 years ago - Stars: 31 - Forks: 2

StijnVerdenius/SNIP-it

This repository is the official implementation of the paper Pruning via Iterative Ranking of Sensitivity Statistics and implements novel pruning / compression algorithms for deep learning / neural networks. Amongst others it implements structured pruning before training, its actual parameter shrinking and unstructured before/during training.

Language: Python - Size: 1.87 MB - Last synced at: about 1 year ago - Pushed at: almost 2 years ago - Stars: 28 - Forks: 4

esceptico/squeezer

Lightweight knowledge distillation pipeline

Language: Jupyter Notebook - Size: 116 KB - Last synced at: 5 days ago - Pushed at: over 3 years ago - Stars: 28 - Forks: 0

Shengcao-Cao/ESNAC

Learnable Embedding Space for Efficient Neural Architecture Compression

Language: Python - Size: 24.4 KB - Last synced at: over 1 year ago - Pushed at: about 6 years ago - Stars: 28 - Forks: 3

EmilianoGagliardiEmanueleGhelfi/CNN-compression-performance

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

Language: Python - Size: 304 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 27 - Forks: 10

ciodar/deep-compression

PyTorch Lightning implementation of the paper Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding. This repository allows to reproduce the main findings of the paper on MNIST and Imagenette datasets.

Language: Jupyter Notebook - Size: 3.85 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 26 - Forks: 2

frankaging/Causal-Distill

The Codebase for Causal Distillation for Language Models (NAACL '22)

Language: Python - Size: 631 KB - Last synced at: 22 days ago - Pushed at: almost 3 years ago - Stars: 25 - Forks: 3

VITA-Group/PrAC-LTH

[ICML 2021] "Efficient Lottery Ticket Finding: Less Data is More" by Zhenyu Zhang*, Xuxi Chen*, Tianlong Chen*, Zhangyang Wang

Language: Python - Size: 562 KB - Last synced at: 8 days ago - Pushed at: over 3 years ago - Stars: 25 - Forks: 3

MingSun-Tse/Smile-Pruning

A generic code base for neural network pruning, especially for pruning at initialization.

Language: Python - Size: 24 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 24 - Forks: 1

MingSun-Tse/Good-DA-in-KD

[NeurIPS'22] What Makes a "Good" Data Augmentation in Knowledge Distillation -- A Statistical Perspective

Language: Python - Size: 5.65 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 23 - Forks: 1

gershonc/octopus-ml

A collection of handy ML and data visualization and validation tools. Go ahead and train, evaluate and validate your ML models and data with minimal effort.

Language: Jupyter Notebook - Size: 21.4 MB - Last synced at: 14 days ago - Pushed at: about 2 years ago - Stars: 22 - Forks: 5

MingSun-Tse/Why-the-State-of-Pruning-so-Confusing

[Preprint] Why is the State of Neural Network Pruning so Confusing? On the Fairness, Comparison Setup, and Trainability in Network Pruning

Size: 6.32 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 22 - Forks: 0

SKKU-ESLAB/Auto-Compression

Automatic DNN compression tool with various model compression and neural architecture search techniques

Language: C - Size: 106 MB - Last synced at: 20 days ago - Pushed at: 20 days ago - Stars: 21 - Forks: 18

Model-Compression/Lossless_Compression

We propose a lossless compression algorithm based on the NTK matrix for DNN. The compressed network yields asymptotically the same NTK as the original (dense and unquantized) network, with its weights and activations taking values only in {0, 1, -1} up to scaling.

Language: Python - Size: 71.4 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 21 - Forks: 2

Z7zuqer/model-compression-and-acceleration-4-DNN

model-compression-and-acceleration-4-DNN

Size: 67.7 MB - Last synced at: about 1 month ago - Pushed at: over 6 years ago - Stars: 21 - Forks: 4

MingSun-Tse/TPP

[ICLR'23] Trainability Preserving Neural Pruning (PyTorch)

Language: Python - Size: 982 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 20 - Forks: 0

HuangCongQing/model-compression-optimization

model compression and optimization for deployment for Pytorch, including knowledge distillation, quantization and pruning.(知识蒸馏，量化，剪枝)

Language: Python - Size: 20 MB - Last synced at: 28 days ago - Pushed at: 8 months ago - Stars: 18 - Forks: 2

Lee-Gihun/MicroNet_OSI-AI

(NeurIPS-2019 MicroNet Challenge - 3rd Winner) Open source code for "SIPA: A simple framework for efficient networks"

Language: Python - Size: 14.8 MB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 18 - Forks: 6

Eclipsess/CHIP_NeurIPS2021

Code for CHIP: CHannel Independence-based Pruning for Compact Neural Networks (NeruIPS 2021).

Language: Python - Size: 94.9 MB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 18 - Forks: 5

gaosh/Structured-Bayesian-Pruning-pytorch

pytorch implementation of Structured Bayesian Pruning

Language: Python - Size: 27.3 KB - Last synced at: over 1 year ago - Pushed at: almost 7 years ago - Stars: 18 - Forks: 4

xuyang-liu16/GlobalCom2

Global Compression Commander: Plug-and-Play Inference Acceleration for High-Resolution Large Vision-Language Models

Language: Python - Size: 5.98 MB - Last synced at: 17 days ago - Pushed at: 17 days ago - Stars: 17 - Forks: 0

bupt-ai-club/awesomeProject

分享高质量的AI项目

Language: Python - Size: 129 MB - Last synced at: 4 days ago - Pushed at: 11 months ago - Stars: 17 - Forks: 5

linkedin/QuantEase

QuantEase, a layer-wise quantization framework, frames the problem as discrete-structured non-convex optimization. Our work leverages Coordinate Descent techniques, offering high-quality solutions without the need for matrix inversion or decomposition.

Language: Python - Size: 209 KB - Last synced at: 6 months ago - Pushed at: about 1 year ago - Stars: 17 - Forks: 1

fangvv/CPSCA

Code for paper "Channel Pruning Guided by Spatial and Channel Attention for DNNs in Intelligent Edge Computing"

Language: Python - Size: 19.5 KB - Last synced at: 3 months ago - Pushed at: almost 2 years ago - Stars: 17 - Forks: 4

bhavanajain/research-paper-summaries

A directory with some interesting research paper summaries in the field of Deep Learning

Size: 1.85 MB - Last synced at: about 1 year ago - Pushed at: almost 7 years ago - Stars: 17 - Forks: 0

signalogic/SigDL

Deep Learning Compression and Acceleration SDK -- deep model compression for Edge and IoT embedded systems, and deep model acceleration for clouds and private servers

Size: 14.9 MB - Last synced at: about 2 years ago - Pushed at: about 7 years ago - Stars: 17 - Forks: 10

nbasyl/OFQ

The official implementation of the ICML 2023 paper OFQ-ViT

Language: Python - Size: 640 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 16 - Forks: 0

vineeths96/Compressed-Transformers

In this repository, we explore model compression for transformer architectures via quantization. We specifically explore quantization aware training of the linear layers and demonstrate the performance for 8 bits, 4 bits, 2 bits and 1 bit (binary) quantization.

Language: Python - Size: 1.01 MB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 16 - Forks: 3

iamhankai/Full-Stack-Filters

Pytorch code for paper: Full-Stack Filters to Build Minimum Viable CNNs

Language: Python - Size: 3.23 MB - Last synced at: 22 days ago - Pushed at: over 5 years ago - Stars: 16 - Forks: 6

cantbebetter2/Awesome-Diffusion-Distillation

A list of papers, docs, codes about diffusion distillation.This repo collects various distillation methods for the Diffusion model. Welcome to PR the works (papers, repositories) missed by the repo.

Size: 1000 Bytes - Last synced at: 9 months ago - Pushed at: over 1 year ago - Stars: 15 - Forks: 1

MingSun-Tse/SRP

[ICLR'22] PyTorch code for our paper "Learning Efficient Image Super-Resolution Networks via Structure-Regularized Pruning"

Language: Python - Size: 7.02 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 15 - Forks: 1

cliang1453/super-structured-lottery-tickets

Super Tickets in Pre-Trained Language Models: From Model Compression to Improving Generalization (ACL 2021)

Language: Python - Size: 683 KB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 14 - Forks: 1

Kennethborup/knowledgeDistillation

PyTorch implementation of (Hinton) Knowledge Distillation and a base class for simple implementation of other distillation methods.

Language: Python - Size: 424 KB - Last synced at: almost 2 years ago - Pushed at: over 4 years ago - Stars: 14 - Forks: 6

elliothe/Ternarized_Neural_Network

Optimizing Deep Convolutional Neural Network with Ternarized Weights and High Accuracy

Language: Python - Size: 66.4 KB - Last synced at: about 2 years ago - Pushed at: about 6 years ago - Stars: 14 - Forks: 8

llyx97/Rosita

[AAAI 2021] "ROSITA: Refined BERT cOmpreSsion with InTegrAted techniques", Yuanxin Liu, Zheng Lin, Fengcheng Yuan

Language: Python - Size: 3.41 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 13 - Forks: 2

hikvision-research/SlimDA

An official implementation of CVPR 2022 paper "Slimmable Domain Adaptation".

Size: 5.86 KB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 13 - Forks: 2

ivclab/Multistage_Pruning

Cheng-Hao Tu, Jia-Hong Lee, Yi-Ming Chan and Chu-Song Chen, "Pruning Depthwise Separable Convolutions for MobileNet Compression," International Joint Conference on Neural Networks, IJCNN 2020, July 2020.

Language: Python - Size: 33.2 KB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 13 - Forks: 3

MingSun-Tse/Caffe_IncReg

[IJCNN'19, IEEE JSTSP'19] Caffe code for our paper "Structured Pruning for Efficient ConvNets via Incremental Regularization"; [BMVC'18] "Structured Probabilistic Pruning for Convolutional Neural Network Acceleration"

Language: Makefile - Size: 19.2 MB - Last synced at: about 2 years ago - Pushed at: about 5 years ago - Stars: 13 - Forks: 5

snu-mllab/Efficient-CNN-Depth-Compression

Official PyTorch implementation of "Efficient Latency-Aware CNN Depth Compression via Two-Stage Dynamic Programming" (ICML'23)

Language: Python - Size: 854 KB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 12 - Forks: 0

ismail31416/LumiNet

The official implementation of LumiNet: The Bright Side of Perceptual Knowledge Distillation https://arxiv.org/abs/2310.03669

Language: Jupyter Notebook - Size: 14.3 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 11 - Forks: 1

diaoenmao/Pruning-Deep-Neural-Networks-from-a-Sparsity-Perspective

[ICLR 2023] Pruning Deep Neural Networks from a Sparsity Perspective

Language: Python - Size: 32.4 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 11 - Forks: 0

MingSun-Tse/Awesome-Efficient-ViT

Recent Advances on Efficient Vision Transformers

Size: 11.7 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 11 - Forks: 0

nitarshan/neural-network-pruning-and-sparsification

TensorFlow implementation of weight and unit pruning and sparsification

Language: Jupyter Notebook - Size: 120 KB - Last synced at: about 2 years ago - Pushed at: over 6 years ago - Stars: 11 - Forks: 2

cs-chan/Fuzzy-Compression

Caffe/Neon prototxt training file for our Neurocomputing2017 work: Fuzzy Quantitative Deep Compression Network

Language: Python - Size: 22.3 MB - Last synced at: about 2 years ago - Pushed at: almost 7 years ago - Stars: 11 - Forks: 1

changwoolee/BLAST

[NeurIPS 2024] BLAST: Block Level Adaptive Structured Matrix for Efficient Deep Neural Network Inference

Language: Python - Size: 1.43 MB - Last synced at: 16 days ago - Pushed at: 6 months ago - Stars: 10 - Forks: 0

jongwooko/NASH-Pruning-Official

About Code for the paper "NASH: A Simple Unified Framework of Structured Pruning for Accelerating Encoder-Decoder Language Models" (EMNLP 2023 Findings)

Language: Python - Size: 114 KB - Last synced at: 12 months ago - Pushed at: over 1 year ago - Stars: 10 - Forks: 0

cliang1453/task-aware-distillation

Less is More: Task-aware Layer-wise Distillation for Language Model Compression (ICML2023)

Language: Python - Size: 42 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 10 - Forks: 0

TCLResearchEurope/ptdeco

ptdeco is a library for model optimization by matrix decomposition built on top of PyTorch

Language: Python - Size: 323 KB - Last synced at: 10 days ago - Pushed at: 5 months ago - Stars: 9 - Forks: 1

BerivanIsik/SuRP

Implementation of the SuRP algorithm by the authors of the AISTATS 2022 paper "An Information-Theoretic Justification for Model Pruning".

Language: Python - Size: 48.8 KB - Last synced at: almost 2 years ago - Pushed at: almost 3 years ago - Stars: 9 - Forks: 0

densechen/eve-mli

eve-mli: making learning interesting

Language: Python - Size: 13.8 MB - Last synced at: 16 days ago - Pushed at: about 3 years ago - Stars: 9 - Forks: 0

HKUDS/LightGNN

[WSDM'25] "LightGNN: Simple Graph Neural Network for Recommendation"

Language: Python - Size: 20.9 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 8 - Forks: 2

OpenNLG/OpenBA-v2

OpenBA-V2: 3B LLM (Large Language Model) with T5 architecture, utilizing model pruning technique and continuing pretraining from OpenBA-15B.

Language: Python - Size: 15 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 8 - Forks: 0

da2so/DA2Lite

DA2Lite is an automated model compression toolkit for PyTorch.

Language: Python - Size: 1.95 MB - Last synced at: almost 2 years ago - Pushed at: about 3 years ago - Stars: 8 - Forks: 6

bupt-ai-cz/BreastCancerCNN Fork of WendyDong/BreastCancerCNN

https://teacher.bupt.edu.cn/zhuchuang/en/index.htm

Language: Jupyter Notebook - Size: 2.32 MB - Last synced at: 9 months ago - Pushed at: almost 4 years ago - Stars: 8 - Forks: 1

digital-nomad-cheng/MTCNN_PyTorch

Language: Python - Size: 5.29 MB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 8 - Forks: 2

vinsis/ternary-quantization

Training models with ternary quantized weights using PyTorch

Language: Python - Size: 300 KB - Last synced at: almost 2 years ago - Pushed at: almost 6 years ago - Stars: 8 - Forks: 3

yashkim77/Neural_Network_Pruning_Sparsification

TensorFlow implementation of weight and unit pruning and sparsification

Language: Jupyter Notebook - Size: 67.3 MB - Last synced at: over 1 year ago - Pushed at: almost 6 years ago - Stars: 8 - Forks: 0

mcognetta/LotteryTickets.jl

Sparsify Your Flux Models

Language: Julia - Size: 627 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 7 - Forks: 0

henryzhongsc/lottery_regulated_grouped_kernel_pruning

Official implementation for Zhong et al., Revisit Kernel Pruning with Lottery Regulated Grouped Convolutions. ICLR 2022

Language: Jupyter Notebook - Size: 46.9 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 7 - Forks: 0

mohaimenz/pruning-vs-xnor

Official repository for the research article "Pruning vs XNOR-Net: A ComprehensiveStudy on Deep Learning for AudioClassification in Microcontrollers"

Language: Python - Size: 7.52 MB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 7 - Forks: 2

ysbsb/model-compression-and-automl

A curated list of recent model compression and auto ml papers. (NIPS/ICML/CVPR)

Size: 2.93 KB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 7 - Forks: 0

minseok0809/awesome-ai-paper

A curated list of awesome NLP, Computer Vision, Model Compression, XAI, Reinforcement Learning, Security, etc Paper

Language: Jupyter Notebook - Size: 38.3 MB - Last synced at: 8 days ago - Pushed at: 17 days ago - Stars: 6 - Forks: 0

surajiitd/NVIDIA_Jetson_Inference

This repo contains model compression(using TensorRT) and documentation of running various deep learning models on NVIDIA Jetson Orin, Nano (aarch64 architectures)

Language: Makefile - Size: 1.39 GB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 6 - Forks: 2

DoctorKey/Practise

[CVPR2023] Practical Network Acceleration with Tiny Sets

Language: Python - Size: 4.19 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 6 - Forks: 3

htqin/BiFSMNv2

Pytorch implementation of BiFSMNv2, TNNLS 2023

Language: Python - Size: 140 KB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 6 - Forks: 3

CAS-CLab/Label-free-Network-Compression

Caffe implementation of "Learning Compression from Limited Unlabeled Data" (ECCV2018).

Language: Python - Size: 63.5 KB - Last synced at: 3 months ago - Pushed at: about 6 years ago - Stars: 6 - Forks: 2

Stonesjtu/basis-embedding

basis embedding: a product quantization based model compression method for language models.

Language: Python - Size: 45.7 MB - Last synced at: 17 days ago - Pushed at: 6 months ago - Stars: 5 - Forks: 0

Berry-Wu/Knowledge_Distillation

知识蒸馏小demo

Language: Python - Size: 30 MB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 5 - Forks: 0

wanglouis49/pytorch-rnn_pruning

Pruning RNNs (University of Waterloo CS898 Deep Learning Spring 2017 Course Project)

Language: Python - Size: 470 MB - Last synced at: about 2 years ago - Pushed at: over 7 years ago - Stars: 5 - Forks: 2

merantix-momentum/acip

🗜️Codebase of the ACIP algorithm 🗜️

Language: Python - Size: 232 KB - Last synced at: 5 days ago - Pushed at: 6 days ago - Stars: 4 - Forks: 0

IPL-sharif/KD_Survey

A Comprehensive Survey on Knowledge Distillation

Size: 877 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 4 - Forks: 0

m-pektas/BFAS

Brute Force Architecture Search

Language: Python - Size: 193 KB - Last synced at: 18 days ago - Pushed at: over 1 year ago - Stars: 4 - Forks: 0

cheneydon/hrkd

This repository contains the code for the paper in EMNLP 2021: "HRKD: Hierarchical Relational Knowledge Distillation for Cross-domain Language Model Compression".

Language: Python - Size: 37.1 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 4 - Forks: 2

LABouteille/torchprune

Deep learning compression framework in Pytorch [WIP]

Language: Python - Size: 313 KB - Last synced at: 16 days ago - Pushed at: over 2 years ago - Stars: 4 - Forks: 0

kar-m/hand-segmentation

This repository is created for on-device real time hand segmentation in video footage.

Language: Jupyter Notebook - Size: 17.9 MB - Last synced at: 11 months ago - Pushed at: over 3 years ago - Stars: 4 - Forks: 0

AIoT-MLSys-Lab/MSUNet

[NeurIPS 2019 Google MicroNet Challenge] MSUNet is an efficient model that won the 4th place in the Google MicroNet Challenge CIFAR-100 Track hosted at NeurIPS 2019 designed by Yu Zheng, Shen Yan, Mi Zhang

Language: Python - Size: 24.8 MB - Last synced at: 12 months ago - Pushed at: over 4 years ago - Stars: 4 - Forks: 3

yashbhalgat/QualcommAI-MicroNet-submission-EfficientNet

Submission name: QualcommAI-EfficientNet. MicroNet Challenge (NeurIPS 2019) submission - Qualcomm AI Research

Language: Python - Size: 14.6 MB - Last synced at: 5 months ago - Pushed at: over 5 years ago - Stars: 4 - Forks: 4

Shuai-Xie/BiSeNet-Compression

10 variants of original BiSeNet with performance comparison, the faster, the better.

Language: Python - Size: 106 KB - Last synced at: about 2 months ago - Pushed at: about 6 years ago - Stars: 4 - Forks: 0

frickyinn/BiDense

PyTorch implementation of "BiDense: Binarization for Dense Prediction," A binary neural network for dense prediction tasks.

Language: Python - Size: 1.21 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 3 - Forks: 0

ksm26/Quantization-in-Depth

Dive into advanced quantization techniques. Learn to implement and customize linear quantization functions, measure quantization error, and compress model weights using PyTorch for efficient and accessible AI models.

Language: Jupyter Notebook - Size: 5.79 MB - Last synced at: about 1 month ago - Pushed at: 11 months ago - Stars: 3 - Forks: 5

mohd-faizy/Hyperparameter-Tuning-with-Microsoft-Network-Intelligence-Toolkit-NNI

Hyperparameter Tuning with Microsoft NNI to automated machine learning (AutoML) experiments. The tool dispatches and runs trial jobs generated by tuning algorithms to search the best neural architecture and/or hyper-parameters in different environments like local machine, remote servers and cloud.

Language: Python - Size: 3.02 MB - Last synced at: 19 days ago - Pushed at: 11 months ago - Stars: 3 - Forks: 1