classification-task

There are 3 repositories under classification-task topic.

dformoso / sklearn-classification
Data Science Notebook on a Classification Task, using sklearn and Tensorflow.
data science machine learning sklearn tensorflow jupyter notebook docker roc machine-learning roc-curve classification-task
Language:Jupyter Notebook 679
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.
nlp-tasks text-classification information-retrieval sse-embeddings classification-task
Language:Python 459
AFAgarap / gru-svm
[ICMLC 2018] A Neural Network Architecture Combining Gated Recurrent Unit (GRU) and Support Vector Machine (SVM) for Intrusion Detection
tensorflow rnn-tensorflow svm-classifier intrusion-detection recurrent-neural-networks gru support-vector-machine softmax classification svm classification-task rnn supervised-learning artificial-neural-networks artificial-intelligence machine-learning gru-svm gru-model
Language:Python 144
gatsby2016 / Fast-WSI-Prediction
Unofficial implementation for ScanNet (a fast WSI prediction method) in PyTorch.
pytorch whole-slide-image classification-task pathological-images deep-learning medical-image-computing
Language:Python 22
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.
segmentation classification-task glioma brats2018 convolutional-neural-networks support-vector-machines random-forest-classifier machine-learning
Language:Jupyter Notebook 13
nvnnghia / opencv-Image_classification
Train Image classification on CIFAR10 using tensorflow and keras. Create a inference using opencv. OpenCV to read tensorflow graph.
readnetfromtensorflow opencv tensorboard image classification-task keras cifar10 pelee
Language:Python 11
Ariannahs / Ad-Fraud-Detection-With-Machine-Learning
Fraud detection using lgb, catboost, rf, etc
advertising-fraud prediction machine-learning python lightgbm randomforest catboost anti-cheat data-analysis data-visualization classification-task ai-challenges
Language:Jupyter Notebook 10
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 .
lstm quora nlp-tasks classification-task glove siamese-network deep-learning
Language:Python 8
kreimanlab / VariationalPrototypeReplaysCL
Continual learning using variational prototype replays
classification-task continual-learning few-shot-learning variational-prototypes
Language:Python 8
MAFAT-RADAR-Challenge
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.
radar-tracks signal-matrix radar-systems signal-processing mafat-radar-challenge doppler-pulse-radars classification-task computer-vision deep-learning
Language:Jupyter Notebook 7
dudongyangsmu / NPC-Diagnosis
radiomics
machine-learning npc classification-task
Language:MATLAB 5
omarsar / meda
:smile: :worried: :joy: An emotion classification web service :smile: :worried: :joy:
emotion-analysis emotion-api emotion-analytics graph-theory sentiment-analysis classification-task machine-learning
Language:HTML 5
burakberber / cnn-tensorflow-js
CNNs usage with tensorflow.js, an example for handwritten data and recognition by cnn
classification-task cnn cnn-tensorflow-js handwritten-data loss-functions recognition
Language:JavaScript 4
DavidCico / Self-implementation-of-a-random-forest-algorithm
A random forest algorithm is implemented in Python from scratch to perform a classification analysis.
jupyter-notebook machine-learning algorithm machine-learning-algorithms scratch scratch-implementation random-forest classification-task classification-trees python python3
Language:Python 4
KaoruMuta / ISIC2016_challenge
ISIC2016challenge
deep-learning medical-imaging isic-2016 isic classification-task pytorch
Language:Python 4
G-Slient / JanataHack-Mobility_Analytics
Top solution of Janata Hack: Mobility Hack
analyticsvidhya python mutilabelclassification classification-task jupyter-notebook
Language:Jupyter Notebook 3
SagarPatel98 / Employee-Retention
It is a binary classification task, where given a set of features we need to predict whether the employee is likely to leave or not
classification-task employee employee-retention employees machine-learning ml
Language:Jupyter Notebook 3
Bennyhwanggggg / Hyponymy-Classification-using-LSTM
LSTM, Bi-LSTM PyTorch project for Information Retrieval and NLP course at University of New South Wales
lstm lstm-neural-networks nlp nlp-machine-learning pytorch pytorch-nlp hyponym classifi classification-task machine-learning
Language:Jupyter Notebook 2
Akhand-Pratap-Tiwari / Comparative-study-of-ML-models-on-Rainfall-Dataset
Comparative Analysis of Basic ML algorithms and conclusion
classification-task decision-trees knn linear-regression logistic-regression svm
Language:Jupyter Notebook 1
ashish230897 / Deep-Neural-Networks-From-Scratch
Designing Your Own Deep Neural Network
deep-neural-networks backpropagation regularization classification-task forward-propagation
Language:Jupyter Notebook 1
bricksdont / classifier-recipes
Code that exemplifies neural network solutions for classification tasks with DyNet. On top of that, the code demonstrates how to implement a custom classifier that is compatible with scikit-learn's API.
scikit-learn classification-task dynet machinelearning
Language:Python 1
enginBozkurt / repoCallForCode
Data Science implementations and models
ibmcode machine-learning pixiedust classification-task wildfires call-for-code ibm-watson
Language:Jupyter Notebook 1
ppokhare / Handling-Imbalanced-Dataset-for-classification-task
Using various ML models and Neural Networks with Focal Loss function to predict fraudulent credit card transactions.
focal-loss neural-networks classification-task imbalanced-data xgboost-classifier
Language:Jupyter Notebook 1
QQQQQby / ELMo-MLP
ELMo-MLP classifier
elmo mlp-classifier question-answers tensorflow elmo-mlp classifier classification-task
Language:Python 1
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.
classification-task confusion-matrix data-science dataset heart-disease-classifications machine-learning-algorithms model-comparison preprocessing
0
mod03-classification
anna-dang / mod03-classification
Ternary classification problem using real-world, incomplete data from a live DrivenData competition.
xgboost-algorithm competition supervised-machine-learning real-world-problem-solving classification-task
Language:Jupyter Notebook 0
Galina-Blokh / distilbert_bynary_classification
A notebook for a medium article about text classification with Hugging Face DistilBert and Tensorflow 2.0
nlp nlp-machine-learning deep-learning transformers distilbert classification-task python3 tensorflow2 tutorial-code huggingface huggingface-transformers
Language:Jupyter Notebook 0
Kavitha-Kothandaraman / Sentiment-Classification-using-NLP
To generate Word Embeddings and retrieve outputs of each layer with Keras based on the Sentiment Classification task
classification-task dataset embeddings glove-embeddings glove-vectors imdb labels natural-language-processing nlp review sentiment-classification word-embeddings
Language:Jupyter Notebook 0
pierrebedu / 1-ENS-DATA-CHALLENGE-VALEO
VALEO CHALLENGE (13 th). Predict defect on starter motor production lines. Classification task over imbalanced data
classification-task valeo-competition predict-anomalies
Language:Jupyter Notebook 0
tatianabarbone / stellar-classification
A classification task to predict star type based on temperature, luminosity, radius and absolute magnitude.
classification-task data jupyter-notebook machine-learning python science sklearn
Language:Jupyter Notebook 0
vksbhandary / kaggle-toxic-comment
Solution for Toxic Comment Classification Challenge hosted on Kaggle
classification-task kaggle kaggle-competition kaggle-solution nlp
Language:Jupyter Notebook 0
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% .
machine-learning dna-sequences l implementation-of-algorithms classification-task
Language:Python
gabrielriqu3ti / ROB313_Perception_pour_les_systemes_autonomes
Ensemble des projets du cours ROB313 - Perception pour la Robotique de l'école ENSTA IP Paris.
classification-task computer-vision mosaic-images tracking
Language:Jupyter Notebook
marmal95 / MPI-ML
Parallel implementation of classification task using a few different classifiers with use of MPI.
mpi parallel classifier classification-task python3 mpi4py sklearn
Language:Python
msp99000 / Income-Prediction-Naive-Bayes
Implementing Naive Bayes Algorithm on a dataset having high cardinality issues.
naive-bayes-algorithm gaussian classification-task
nischaybikramthapa / Physical-Activity-Recognition
Can we predict what a person is doing based on their movements?
activity-recognition classification-task data-preparation preprocessed-data
Language:Jupyter Notebook

classification-task

dformoso / sklearn-classification

eBay / Sequence-Semantic-Embedding

AFAgarap / gru-svm

gatsby2016 / Fast-WSI-Prediction

edukait / glioma-classification

nvnnghia / opencv-Image_classification

Ariannahs / Ad-Fraud-Detection-With-Machine-Learning

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

kreimanlab / VariationalPrototypeReplaysCL

expectopatronm / MAFAT-RADAR-Challenge

dudongyangsmu / NPC-Diagnosis

omarsar / meda

burakberber / cnn-tensorflow-js

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

KaoruMuta / ISIC2016_challenge

G-Slient / JanataHack-Mobility_Analytics

SagarPatel98 / Employee-Retention

Bennyhwanggggg / Hyponymy-Classification-using-LSTM

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

ashish230897 / Deep-Neural-Networks-From-Scratch

bricksdont / classifier-recipes

enginBozkurt / repoCallForCode

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

QQQQQby / ELMo-MLP

amiruzzaman1 / Heart-Disease-Classifications

anna-dang / mod03-classification

Galina-Blokh / distilbert_bynary_classification

Kavitha-Kothandaraman / Sentiment-Classification-using-NLP

pierrebedu / 1-ENS-DATA-CHALLENGE-VALEO

tatianabarbone / stellar-classification

vksbhandary / kaggle-toxic-comment

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

gabrielriqu3ti / ROB313_Perception_pour_les_systemes_autonomes

marmal95 / MPI-ML

msp99000 / Income-Prediction-Naive-Bayes

nischaybikramthapa / Physical-Activity-Recognition