Python Pruning-structures Resources

☕ CoFiPruning: Structured Pruning Learns Compact and Accurate Models This repository contains the code and pruned models for our ACL'22 paper Structur

Best Data Science Resources Hey, Data Enthusiasts out there! Finally, after lots of requests from the community I finally came up with the best free D

ML-ProjectKart 📌 Repository This kart showcases the finest collection of all projects based on machine learning, deep learning, computer vision, natu

WIE-WoC IEEE-WIE presents WIE Week of Code (WIEWoC), a 3-days long open-source contribution event starting from 1st March, highlighting different pyth

GVP Transformer (wip) Implementation of the GVP-Transformer, which was used in the paper Learning inverse folding from millions of predicted structure

APP: Anytime Progressive Pruning Diganta Misra1,2,3, Bharat Runwal2,4, Tianlong Chen5, Zhangyang Wang5, Irina Rish1,3 1 Mila - Quebec AI Institute,2 L

Ensemble Knowledge Guided Sub-network Search and Fine-tuning for Filter Pruning This repository is official Tensorflow implementation of paper: Ensemb

Data Structures and Algorithms All the essential resources and template code nee

Cormen Lib Sample Problems Description This repository contnains sample problems with test cases using Cormen-Lib. These problems were made for the pu

[ICLR 2022] The Unreasonable Effectiveness of Random Pruning: Return of the Most Naive Baseline for Sparse Training The Unreasonable Effectiveness of

SAGE: Sensitivity-guided Adaptive Learning Rate for Transformers This repo contains our codes for the paper "No Parameters Left Behind: Sensitivity Gu

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

Python red-black trees A Python implementation of red-black trees. This code was originally copied from programiz.com, but I have made a few tweaks to

Structured Data Gradient Pruning (SDGP) Weight pruning is a technique to make Deep Neural Network (DNN) inference more computationally efficient by re

A stack-based systems language that supports structures, functions, expressions, and user-defined operator behaviour. Currently compiles to URCL with plans to add additional formats in the future.

This script is responsible for the operation of the program, it is responsible for both creating the GUI and the process of processing images from dicom files. The program is based on the use of the PyQt5 library, on the basis of which the entire interface containing the appropriate buttons and functions was created.

scrapy-folder-tree This is a scrapy pipeline that provides an easy way to store files and images using various folder structures. Supported folder str

Pytorch Implementation of Auto-Compressing Subset Pruning for Semantic Image Segmentation Introduction ACoSP is an online pruning algorithm that compr

The Cormen-lib module is an insular data structures and algorithms library based on the Thomas H. Cormen's Introduction to Algorithms Third Edition. This library was made specifically for administering and grading assignments related to data structure and algorithms in computer science.

VampiresVsWerewolves Our Implementation of a MiniMax algorithm with alpha beta pruning in the context of an in-class competition. Our Algorithm finish

nextPARS, a novel Illumina-based implementation of in-vitro parallel probing of RNA structures. Here you will find the scripts necessary to produce th

100 Days of Code Learning program to keep a habit of coding daily and learn things at your own pace with help from our remote community.

Introduction This repository contains the code for Instance-wise Ordered Transformer (IOT), which is introduced in the ICLR2021 paper IOT: Instance-wi

PyElastica PyElastica is the python implementation of Elastica: an open-source project for simulating assemblies of slender, one-dimensional structure

Supporting information (calculation outputs, structures)

KCP The official implementation of KCP: k Closest Points and Maximum Clique Pruning for Efficient and Effective 3D Laser Scan Matching, accepted for p

Intel® Neural Compressor targeting to provide unified APIs for network compression technologies, such as low precision quantization, sparsity, pruning, knowledge distillation, across different deep learning frameworks to pursue optimal inference performance.

Understand-conversation-AI This repository structures data in title, summary, tags, sentiment given a fragment of a conversation How to install: pip i

bidict The bidirectional mapping library for Python. Status bidict: has been used for many years by several teams at Google, Venmo, CERN, Bank of Amer

MothPruning Scientific Overview Originally inspired by biological nervous systems, deep neural networks (DNNs) are powerful computational tools for mo

Data Structures and Algorithms: This is a collection of data structures and algorithms that I write while learning the subject Stack: stack.py A stack

Hands-on Algorithmic Problem Solving A one-stop coding interview prep book! About this book In short, this is a middle-to-high level algorithm book de

Data Structures and Algorithms Clean example implementations of data structures and algorithms written in different languages. List of implementations

Coursera Assignments This repository is aimed to help Coursera learners who have difficulties in their learning process. The quiz and programming home

wikidot-forum-dump Script is partially based on 2stacks by bluesoul: https://github.com/scuttle/2stacks To dump a Wiki's forum, edit config.py and put

CSG: Chemical Structure Generator A simple Chemical Structure Generator. Requirements Python 3 (= v3.8) PyQt5 (optional; = v5.15.0 required for grap

naniar naniar provides principled, tidy ways to summarise, visualise, and manipulate missing data with minimal deviations from the workflows in ggplot

English | 中文说明 TextPruner是一个为预训练语言模型设计的模型裁剪工具包，通过轻量、快速的裁剪方法对模型进行结构化剪枝，从而实现压缩模型体积、提升模型速度。 其他相关资源： 知识蒸馏工具TextBrewer：https://github.com/airaria/TextBrewe

AtlasNet V2 - Learning Elementary Structures This work was build upon Thibault Groueix's AtlasNet and 3D-CODED projects. (you might want to have a loo

1xN Pattern for Pruning Convolutional Neural Networks (paper) . This is Pytorch re-implementation of "1xN Pattern for Pruning Convolutional Neural Net

👀 mols2grid mols2grid is an interactive chemical viewer for 2D structures of small molecules, based on RDKit. ➡️ Try the demo notebook on Google Cola

Selenium job to automate queries to check last posts of Module Data Structures & Algorithms Web-testing for course Data Structures & Algorithms Struct

Pyrsistent Pyrsistent is a number of persistent collections (by some referred to as functional data structures). Persistent in the sense that they are

Welcome to fastcore Python goodies to make your coding faster, easier, and more maintainable Python is a powerful, dynamic language. Rather than bake

i-SpaSP: Structured Neural Pruning via Sparse Signal Recovery This is a public code repository for the publication: i-SpaSP: Structured Neural Pruning

gridthings Python library for doing things with Grid-like structures Development This project uses poetry for dependency management, pre-commit for li

No non-sense and no BS repo for how data structure code should be in Python - simple and elegant.

SHRIMP: Sparser Random Feature Models via Iterative Magnitude Pruning This repository is the official implementation of "SHRIMP: Sparser Random Featur

Contribute in this repository and help other students with their assignment by adding python scripts for various management system programs.

Molecular Mechanics-Driven Graph Neural Network with Multiplex Graph for Molecular Structures Code for the Multiplex Molecular Graph Neural Network (M

GDSC UIET KUK 📍 , welcomes you all to this amazing event where you will be introduced to the world of coding 💻 .

ASSL This repository is for a new network pruning method (Aligned Structured Sparsity Learning, ASSL) for efficient single image super-resolution (SR)

My notes on DS and Algo Table of Contents Arrays LinkedList Trees Types of trees: Tree/Graph Traversal Algorithms Heap Priorty Queue Trie Graphs Graph

bitlist Minimal Python library for working with bit vectors natively. Purpose This library allows programmers to work with a native representation of

Algorithm and Data Structures Interview Questions HackerRank | Practice, Tutorials & Interview Preparation Solutions This repository consists of solut

structural-probes Codebase for testing whether hidden states of neural networks encode discrete structures. Based on the paper A Structural Probe for

This is the code for Compressing BERT: Studying the Effects of Weight Pruning on Transfer Learning It includes /bert, which is the original BERT repos

Continuous Sparsification Implementation of Continuous Sparsification (CS), a method based on l_0 regularization to find sparse neural networks, propo

Structured Super Lottery Tickets in BERT This repo contains our codes for the paper "Super Tickets in Pre-Trained Language Models: From Model Compress

MoT - Molecular Transformer Large-scale Pretraining for Molecular Property Prediction Samsung AI Challenge for Scientific Discovery This repository is

DeepGeneAnnotator: A tool to annotate the gene in the genome The master thesis of the "Using deep learning to predict gene structures of the coding ge

SfM disambiguation with COLMAP About Structure-from-Motion generally fails when the scene exhibits symmetries and duplicated structures. In this repos

BlenderCreateFolderStructure Simple Add-on to create a folder structure in Blender. Installation Download BlenderCreateFolderStructure.py Open Blender

Code for "Semantic Role Labeling as Dependency Parsing: Exploring Latent Tree Structures Inside Arguments".

Adversarial Neuron Pruning Purifies Backdoored Deep Models Code for NeurIPS 2021 "Adversarial Neuron Pruning Purifies Backdoored Deep Models" by Dongx

PandasVault ⁠— Advanced Pandas Functions and Code Snippets The only Pandas utility package you would ever need. It has no exotic external dependencies

PandaPy "I came across PandaPy last week and have already used it in my current project. It is a fascinating Python library with a lot of potential to

Pruning Self-attentions into Convolutional Layers in Single Path This is the official repository for our paper: Pruning Self-attentions into Convoluti

Pruning Self-attentions into Convolutional Layers in Single Path This is the official repository for our paper: Pruning Self-attentions into Convoluti

Delve is a Python package for analyzing the inference dynamics of your PyTorch model.

Fasterai fasterai is a library created to make neural network smaller and faster. It essentially relies on common compression techniques for networks

DA2Lite (Deep Architecture to Lite) is a toolkit to compress and accelerate deep network models. ⭐ Star us on GitHub — it helps!! Frameworks & Librari

Problems and it's solutions. Problem solving, a great Speed comes with a good Accuracy. The more Accurate you can write code, the more Speed you will

Geomstats Code Continuous Integration Code coverage (numpy) Code coverage (autograd, tensorflow, pytorch) Documentation Community NEWS: Geomstats is r

Bert-squeeze is a repository aiming to provide code to reduce the size of Transformer-based models or decrease their latency at inference time.

Music Trees Supplementary code for the experiments described in the 2021 ISMIR submission: Leveraging Hierarchical Structures for Few Shot Musical Ins

FisherPruning-Pytorch An implementation of Group Fisher Pruning for Practical Network Compression based on pytorch and mmcv Main Functions Pruning f

AptaMAT Purpose AptaMat is a simple script which aims to measure differences between DNA or RNA secondary structures. The method is based on the compa

Code for generating alloy / disordered structures through the special quasirandom structure (SQS) algorithm

Efficient electromagnetic solver based on rigorous coupled-wave analysis for 3D and 2D multi-layered structures with in-plane periodicity, such as gratings, photonic-crystal slabs, metasurfaces, surface-emitting lasers, nano-antennas, and more.

CLNet (ICCV 2021) PyTorch implementation of Paper "Progressive Correspondence Pruning by Consensus Learning" [project page] [paper] Citing CLNet If yo

Svector Svector (pronounced Swag-tor) provides extension methods to pyrsistent data structures. Easily chain your methods confidently with tons of add

RM Operation can equivalently convert ResNet to VGG, which is better for pruning; and can help RepVGG perform better when the depth is large.

duality Data science, Data manipulation and Machine learning package. Use permitted according to the terms of use and conditions set by the attached l

Sample-specific Bayesian Networks A framework for estimating the structures and parameters of Bayesian networks (DAGs) at per-sample or per-patient re

MIRCO PyTorch implementation for paper: Latent Structures Mining with Contrastive Modality Fusion for Multimedia Recommendation Dependencies Python 3.

RMNet: Equivalently Removing Residual Connection from Networks This repository is the official implementation of "RMNet: Equivalently Removing Residua

Gomoku A GUI based Gomoku game using pygame where the user can choose to play against another player or an AI using minimax with alpha-beta pruning. R

Data Structure and Algorithm : Want to learn data strutrues and algorithms ??? Then Stop thinking more and start to learn today. This repo will help y

YOLOv5-Compression Update News Requirements 环境安装 pip install -r requirements.txt Evaluation metric Visdrone Model mAP mAP@50 Parameters(M) GFLOPs FPS@

CodingSimplified_GK This repository is aimed at creating a One stop Destination of codes of all Data structures and Algorithms along with basic explai

Documentation Simple and Easy Package --This is package for enabling basic linear and non-linear data structures and algos-- Data Structures Array Sta

DBSegment This tool generates 30 deep brain structures segmentation, as well as a brain mask from T1-Weighted MRI. The whole procedure should take ~1

Joint Channel and Weight Pruning for Model Acceleration on Mobile Devices Abstract For practical deep neural network design on mobile devices, it is e

Hexagon game. Two players: AI and User. Implemented using Alpha-Beta pruning to find optimal solution for agent.

The leading use-case for the staircase package is for the creation and analysis of step functions. Pretty exciting huh. But don't hit the close button

A framework for building (and incrementally growing) graph-based data structures used in hierarchical or DAG-structured clustering and nearest neighbor search

Python Repositori ini berisi kumpulan dari berbagai macam contoh struktur data, algoritma dan komputasi matematika yang diimplementasikan dengan mengg

ON-LSTM This repository contains the code used for word-level language model and unsupervised parsing experiments in Ordered Neurons: Integrating Tree

DSA-Code-Snippet This repository is for adding codes of data structures and algorithms, leetCode, hackerrank etc solutions in different languages Cont