GitHub topics: classification-task

Repositories

dformoso/sklearn-classification

Data Science Notebook on a Classification Task, using sklearn and Tensorflow.

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bp0609/Llama3.2-Transfer-Learning-For-Classification-Task

This repository applies transfer learning with the Llama 3.2-1B/Gemma model for sentiment classification using the SST-2 dataset. The project involves freezing base model parameters, adding task-specific layers, and training for optimal performance. Results are analyzed and compared between zero-shot and transfer learning outputs.

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Akhand-Pratap-Tiwari/Comparative-study-of-ML-models-on-Rainfall-Dataset

Comparative Analysis of Basic ML algorithms and its conclusion.

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ostrovok-hackathon-2024/eivankin

"О! Хакатон". Трек "Тегирование тарифов". Решение заняло 3-е место

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eBay/Sequence-Semantic-Embedding 📦

Tools and recipes to train deep learning models and build services for NLP tasks such as text classification, semantic search ranking and recall fetching, cross-lingual information retrieval, and question answering etc.

Language: Python - Size: 180 MB - Last synced at: 6 months ago - Pushed at: over 6 years ago - Stars: 461 - Forks: 122

RobCTs/CV_hand_gesture_recognition

Hand gesture recognition system with an mobile app to play a game of Rock-Paper-Scissors

Language: Jupyter Notebook - Size: 171 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

AzizjonTuraev/loan_classification

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tatianabarbone/stellar-classification

A classification task to predict star type based on temperature, luminosity, radius and absolute magnitude.

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amiruzzaman1/Heart-Disease-Classifications

This project involves a classification task using various machine learning algorithms on a heart disease dataset. The dataset comprises features related to heart health, with the target variable indicating the presence or absence of heart disease.

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nvnnghia/opencv-Image_classification

Train Image classification on CIFAR10 using tensorflow and keras. Create a inference using opencv. OpenCV to read tensorflow graph.

Language: Python - Size: 104 KB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 11 - Forks: 3

AFAgarap/gru-svm

[ICMLC 2018] A Neural Network Architecture Combining Gated Recurrent Unit (GRU) and Support Vector Machine (SVM) for Intrusion Detection

Language: Python - Size: 98 MB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 135 - Forks: 38

dudongyangsmu/NPC-Diagnosis

radiomics

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anna-dang/mod03-classification

Ternary classification problem using real-world, incomplete data from a live DrivenData competition.

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edukait/glioma-classification

The purpose of this project is to be able to automatically and efficiently segment and classify high-grade and low-grade gliomas.

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nischaybikramthapa/Physical-Activity-Recognition

Can we predict what a person is doing based on their movements?

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marmal95/MPI-ML

Parallel implementation of classification task using a few different classifiers with use of MPI.

Language: Python - Size: 1.95 KB - Last synced at: over 1 year ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0

ppokhare/Handling-Imbalanced-Dataset-for-classification-task

Using various ML models and Neural Networks with Focal Loss function to predict fraudulent credit card transactions.

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QQQQQby/ELMo-MLP

ELMo-MLP classifier

Language: Python - Size: 640 KB - Last synced at: almost 2 years ago - Pushed at: about 5 years ago - Stars: 1 - Forks: 0

kreimanlab/VariationalPrototypeReplaysCL

Continual learning using variational prototype replays

Language: Python - Size: 640 KB - Last synced at: about 1 year ago - Pushed at: over 4 years ago - Stars: 8 - Forks: 3

expectopatronm/MAFAT-RADAR-Challenge

The MAFAT challenge, by the Israeli Department of Defense. Deep Learning based approach to classify radar signatures of humans and animals.

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DavidCico/Self-implementation-of-a-random-forest-algorithm

A random forest algorithm is implemented in Python from scratch to perform a classification analysis.

Language: Python - Size: 94.7 KB - Last synced at: about 2 years ago - Pushed at: about 6 years ago - Stars: 4 - Forks: 2

omarsar/meda

:smile: :worried: :joy: An emotion classification web service :smile: :worried: :joy:

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gatsby2016/Fast-WSI-Prediction

Unofficial implementation for ScanNet (a fast WSI prediction method) in PyTorch.

Language: Python - Size: 20.2 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 20 - Forks: 1

Bennyhwanggggg/Hyponymy-Classification-using-LSTM

LSTM, Bi-LSTM PyTorch project for Information Retrieval and NLP course at University of New South Wales

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KaoruMuta/ISIC2016_challenge

ISIC2016challenge

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G-Slient/JanataHack-Mobility_Analytics

Top solution of Janata Hack: Mobility Hack

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gabrielriqu3ti/ROB313_Perception_pour_les_systemes_autonomes

Ensemble des projets du cours ROB313 - Perception pour la Robotique de l'école ENSTA IP Paris.

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KaoruMuta/image_classification_pytorch

Training and data loading scripts in PyTorch

Language: Python - Size: 12.7 KB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0

pierrebedu/1-ENS-DATA-CHALLENGE-VALEO

VALEO CHALLENGE (13 th). Predict defect on starter motor production lines. Classification task over imbalanced data

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msp99000/Income-Prediction-Naive-Bayes

Implementing Naive Bayes Algorithm on a dataset having high cardinality issues.

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Galina-Blokh/distilbert_bynary_classification

A notebook for a medium article about text classification with Hugging Face DistilBert and Tensorflow 2.0

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alex-chirayath/Quora-Question-Similarity-with-Deep-Learning

Given a pair of questions on Quora, the NLP task aims to classify whether two given questions are duplicates or not. The underlying idea is to identify whether the pair of questions have the same intent though they might have been structured differently .

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enginBozkurt/repoCallForCode

Data Science implementations and models

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francisanokye/DNA-Classification-Challenge-With-Kernel-Methods-AMMI-2020

This solution ranked 1st in the inclass competition on Kaggle out of 43 teams. The data challenge is a project taken to climax the kernel methods in machine learning course at AMMI-2020, aimed at the implementation of machine learning algorithms to gain understanding and further adapt them to structural data (DNA sequence data). In this report, we (Aissatou & I) present our approach to the challenge which was hosted on Kaggle with the goal of predict- ing whether a DNA sequence region is binding site to a specific transcription factor or not. Our best result ranked 1st on the private leader board with a score of 71.20% .

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classification-task 42 machine-learning 11 deep-learning 5 pytorch 5 sklearn 5 python3 4 python 4 nlp 3 nlp-machine-learning 3 jupyter-notebook 3 tensorflow 3 data 2 svm 2 nlp-tasks 2 machine-learning-algorithms 2 deeplearning 2 supervised-learning 2 lstm 2 classifier 2 computer-vision 2 machinelearning 2 science 2 logistic-regression 2 scikitlearn-machine-learning 1 sentiment-analysis 1 medical-image-computing 1 pathological-images 1 cybersecurity 1 whole-slide-image 1 classifi 1 hyponym 1 scikit-learn 1 lstm-neural-networks 1 kaggle-solution 1 dynet 1 pytorch-nlp 1 isic 1 kaggle-competition 1 isic-2016 1 medical-imaging 1 analyticsvidhya 1 doppler-pulse-radars 1 mafat-radar-challenge 1 radar-systems 1 radar-tracks 1 signal-matrix 1 signal-processing 1 algorithm 1 classification-trees 1 random-forest 1 predictive-analytics 1 scratch 1 scratch-implementation 1 emotion-analysis 1 phishing 1 emotion-analytics 1 emotion-api 1 graph-theory 1 quora 1 siamese-network 1 call-for-code 1 ibm-watson 1 flowers 1 regression 1 ibmcode 1 pixiedust 1 wildfires 1 dna-sequences 1 implementation-of-algorithms 1 l 1 backpropagation 1 deep-neural-networks 1 forward-propagation 1 rnn-pytorch 1 regularization 1 kaggle 1 mutilabelclassification 1 mosaic-images 1 tracking 1 ensemble 1 pytorch-cnn 1 scripts 1 predict-anomalies 1 valeo-competition 1 gaussian 1 naive-bayes-algorithm 1 distilbert 1 huggingface 1 huggingface-transformers 1 tensorflow2 1 transformers 1 tutorial-code 1 glove 1 udacity-nanodegree 1 mobile-app 1 real-time-recognition 1 ann 1 flask-api-deployment 1 ml-models 1 confusion-matrix 1