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GitHub topics: pruning-optimization

whucs21Mzy/Model-Hemorrhage

Model Hemorrhage and the Robustness Limits of Large Language Models: A Perspective

Size: 775 KB - Last synced at: 20 days ago - Pushed at: 20 days ago - Stars: 1 - Forks: 0

peremartra/FinLLMOpt

Optimized Large Language Models for Financial Applications – Efficient, Scalable, and Domain-Specific AI for Finance.

Language: Jupyter Notebook - Size: 453 KB - Last synced at: 23 days ago - Pushed at: 23 days ago - Stars: 44 - Forks: 11

njmarko/alpha-beta-pruning-minmax-checkers

Minmax (minimax) algorithm with Alpha-Beta (𝛼−𝛽, ab) Pruning optimization for the Checkers (Draughts) game in Python 3. Same minimax algorithm works for chess, tic tac toe or similar games.

Language: Python - Size: 357 KB - Last synced at: 15 days ago - Pushed at: over 4 years ago - Stars: 20 - Forks: 1

Miocio-nora/Decay_Pruning_Method

Make Structured Pruning Methods Smooth and Adaptive: Decay Pruning Method (DPM) is a novel smooth and dynamic pruning approach, that can be seemingly integrated with various existing structured pruning methods, providing significant improvement.

Size: 417 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 2 - Forks: 0

franciscofpereira/PipePuzzleSolver

AI agent capable of solving large instances of pipe puzzles using constraint propagation techniques and search algorithms. Project for Artificial Intelligence Class.

Language: Python - Size: 823 KB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

AnruthaKamal/PneumoScan.ai

Pneumo.ai is a Streamlit web app for detecting pneumonia from X-rays, leveraging CNN variants like AlexNet, VGG, and ResNet18, with ResNet18 leading with an accuracy of 0.89. It employs early stopping callbacks for efficient model training, visualizes training using TensorBoard, and optimizes inference time with pruning and quantization techniques.

Language: Jupyter Notebook - Size: 503 KB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

vaisakh-sudheesh/E0-294_Project-CausalModellingPruning

IISc/CSA E0-294: Systems for Machine learning - Course project on employing causal insights in DNN model pruning and performance

Language: Jupyter Notebook - Size: 50.2 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

diyaacharya/machine-learning-essentials

Language: Jupyter Notebook - Size: 334 KB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

NnA301023/StackConvPrun

DenseNet & Resnet as Backbone to Perform Lahan Gambut Classification with Self-Attention Pruning Mechanism

Language: Python - Size: 18 MB - Last synced at: about 1 month ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

ClimerLab/FBP

Frequency Based Pruning (FBP) is a feature selection algorithm based upon maximizing the Youden J statistic. FBP intelligently enumerates through combinations of features, using the frequency of smaller patterns to prune away large regions of the solution space.

Language: C++ - Size: 38.1 KB - Last synced at: 12 days ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

K0mp0t/DNN_Model_optimization

Some DNN model optimization experiments and notebooks

Language: Jupyter Notebook - Size: 128 MB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 5 - Forks: 0

oswaldoludwig/Pruning-pre-trained-models-using-evolutionary-computation

This repository contains scripts to prune Wav2vec2 using a neuroevolution-based method. More details about this method can be found in the paper Compressing Wav2vec2 for Embedded Applications.

Language: Shell - Size: 4.53 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 0

AlrikF/Data-Science-Projects

A collection of numeorus tasks such as classification, regression, time series forecasting etc. on a number of datasets using different algorithms such as random forest, SVM, Naive Bayes, Ensemble, perceptron etc in addition to data cleaning and preparation.

Language: Jupyter Notebook - Size: 41.8 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

alifrmf/Mobile-Price-Prediction-Classification-Analysis

Supervised Machine Learning Analysis Using Classification Models

Language: Jupyter Notebook - Size: 14.6 MB - Last synced at: about 1 year ago - Pushed at: almost 2 years ago - Stars: 12 - Forks: 1

JohnBogdan1/Ultimate-Tic-Tac-Toe-bot

A bot for Ultimate Tic-Tac-Toe game on http://theaigames.com/ and http://pub.theaigames.com/competitions/ultimate-tic-tac-toe

Language: Java - Size: 20.5 KB - Last synced at: over 1 year ago - Pushed at: almost 9 years ago - Stars: 0 - Forks: 0

FBehrad/Evo_conv

Code of the paper "Evolutionary convolutional neural network for efficient brain tumor segmentation and overall survival prediction

Language: Python - Size: 128 KB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 4 - Forks: 1

MoinDalvs/Assignment_Decision_Tree_1

Language: Jupyter Notebook - Size: 15 MB - Last synced at: about 1 month ago - Pushed at: almost 3 years ago - Stars: 3 - Forks: 0

frankwillard/Graduate-Deep-Neural-Nets-Homework

Homework for Graduate Deep Learning Course

Language: Jupyter Notebook - Size: 9.57 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

DouniaLakhmiri/SR2

Pytorch optimizer for nonsmooth, nonconvex, sparsity inducing, regularizers

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

Pradnya1208/Pruning-Decision-Trees

The objective of this project is to understand and implement the most commonly used Tree-pruning methods, Pre-pruning and Post-pruning.

Language: Jupyter Notebook - Size: 988 KB - Last synced at: almost 2 years ago - Pushed at: about 3 years ago - Stars: 1 - Forks: 0

pillieshwar/Cpts_570-Machine-Learning

CPT_S 570 Machine Learning

Language: Python - Size: 3.91 KB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

Related Keywords
pruning-optimization 21 pruning 4 data-science 4 decision-tree-classifier 3 pytorch 3 decision-trees 3 artificial-intelligence 2 model-compression 2 random-forest 2 python 2 deep-learning 2 exploratory-data-analysis 2 optimization 2 machine-learning-algorithms 2 game 2 evolutionary-algorithms 2 post-pruning 2 convolutional-neural-networks 2 robustness 2 quantization 2 genetic-algorithm 2 gradient-boosting 1 ensemble-learning 1 classification 1 boosting-ensemble 1 bagging-ensemble 1 evolutionary-computation 1 adaboost 1 time-series-classification 1 ridge-regression-model 1 huggingface 1 pre-trained-model 1 principal-component-analysis 1 lasso-regression-model 1 pruning-algorithms 1 transformer-models 1 wav2vec 1 wav2vec2 1 data-preprocessing 1 boosting 1 id3-algorithm 1 prepruning 1 regularization 1 optimizer 1 accelerated-proximal-gd 1 quantized-neural-networks 1 lstm-neural-networks 1 gru-neural-networks 1 adversarial-attacks 1 hyperparameter-tuning 1 hyper-parameter-optimization 1 decision 1 cost-complexity-pruning 1 u-net 1 survival-prediction 1 neural-network 1 brain-tumor-segmentation 1 ultimate-tic-tac-toe 1 minimax-algorithm 1 java 1 heuristics 1 bot 1 xgboost 1 voting-classifier 1 svm 1 supervised-learning 1 preprocessing 1 mobile-price-prediction 1 hyperparameter-optimization 1 smooth-pruning 1 otov2 1 network-pruning 1 gate-decorator 1 dynamic-pruning 1 dpm 1 depgraph 1 channel-pruning 1 minmax-alpha-beta-pruning 1 minmax-algorithm 1 minmax 1 minimax-search 1 minimax-alpha-beta-pruning 1 minimax 1 draughts 1 checkers 1 alpha-beta-search 1 alpha-beta-pruning 1 alpha-beta 1 ab-pruning 1 llms 1 financial-sentiment-analysis 1 scaling-laws 1 normalization 1 nlp 1 moe 1 llm 1 decoding 1 e2e-asr 1 asr 1 recurrent-neural-networks 1