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classification-model

Here are 310 public repositories matching this topic...

awesome-decision-tree-papers

benedekrozemberczki / awesome-decision-tree-papers

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A collection of research papers on decision, classification and regression trees with implementations.

classifier machine-learning random-forest statistical-learning xgboost lightgbm gradient-boosting-machine ensemble-learning cart decision-tree tree-ensemble decision-tree-classifier gradient-boosting classification-trees decision-tree-learning decision-tree-model classification-model catboost regression-tree machine-learning-research

Updated Apr 1, 2020
Python

qubvel / classification_models

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Classification models trained on ImageNet. Keras.

keras vgg imagenet densenet resnet pretrained-models inceptionv3 resnext pretrained-weights imagenet-classifier mobilenet classification-model senet xception nasnet inception-resnet-v2 squeeze-and-excitation

Updated Apr 7, 2020
Python

minqi / hnatt

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Train and visualize Hierarchical Attention Networks

deep-neural-networks deep-learning attention attention-mechanism hierarchical-models classification-model attention-visualization hierarchical-model

Updated Jun 29, 2018
Python

stigma0617 / VoVNet.pytorch

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A pytorch implementation of VoVNet

imagenet classification-model vovnet

Updated Aug 27, 2019
Python

cjekel / tindetheus

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Open

Move documentation into a docs folder

2

VikashKothary commented Mar 24, 2020

We should move the documentation into a separate folder. The advantage of this is it can then be deployed. See Readthedocs or the GitHub wiki.

It will also involve separating technical documentation from the open source docs which are meant for different types of users.

Read more

gyunggyung / PyTorch

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PyTorch tutorials A to Z

nlp gpu jupyter-notebook transformers cnn pytorch vision mnist tutorial-code pytorch-tutorial classification-model cnn-classification nn-mnist pytorch-gpu

Updated May 4, 2020
Jupyter Notebook

dominance-analysis / dominance-analysis

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This package can be used for dominance analysis or Shapley Value Regression for finding relative importance of predictors on given dataset. This library can be used for key driver analysis or marginal resource allocation models.

feature-selection logistic-regression feature-engineering regression-models predictor multiple-regression feature-importance classification-model relative-importance dominance-analysis r-square shapley-value keydrivers dominance dominance-statistics predictor-importance pseudo-r-square

Updated Feb 17, 2020
Python

yuanxiaosc / Multimodal-short-video-dataset-and-baseline-classification-model

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500,000 multimodal short video data and baseline models. 50万条多模态短视频数据集和基线模型（TensorFlow2.0）。

tensorflow-models classification-model multimodal-datasets video-dataset

Updated Jul 23, 2019
Jupyter Notebook

SachaIZADI / Seven-Segment-OCR

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Computer vision project to automatically recognize digits characters in a seven-segments display

machine-learning ocr deep-neural-networks computer-vision deep-learning polytechnique hec classification-model computer-vision-ai data-science-for-business-x-hec

Updated Sep 23, 2018
Jupyter Notebook

trinker / termco

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Regular Expression Counts of Terms and Substrings

r regex regular-expression classification-model frequent-terms terms-count regex-model

Updated May 8, 2020
R

odubno / gauss-naive-bayes

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Gauss Naive Bayes in Python From Scratch.

python naive-bayes naive-bayes-classifier bayesian bayes bayes-classifier naive-bayes-algorithm from-scratch maximum-likelihood bayes-classification maximum-likelihood-estimation iris-dataset posterior-probability gaussian-distribution normal-distribution classification-model naive-bayes-tutorial naive-bayes-implementation normal-naive-bayes naive-bayes-python

Updated Mar 10, 2019
Python

ivclab / CPG

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Steven C. Y. Hung, Cheng-Hao Tu, Cheng-En Wu, Chien-Hung Chen, Yi-Ming Chan, and Chu-Song Chen, "Compacting, Picking and Growing for Unforgetting Continual Learning," Thirty-third Conference on Neural Information Processing Systems, NeurIPS 2019

deep-neural-networks pytorch face-recognition emotion-recognition multi-task-learning cpg lifelong-learning classification-model age-gender-cnn continual-learning

Updated May 11, 2020
Python

nghuyong / bert-classification-tf-serving

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Use BERT to train a classification model and deploy the model by tensorflow serving

tensorflow bert tensorflow-serving classification-model

Updated Sep 22, 2019
Python

Chinmayrane16 / Titanic-Survival-In-Depth-Analysis

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Used Pandas , Matplotlib , Seaborn libraries to Analyze , Visualize and Explore the data of people travelling on Titanic, and Used Scikit-learn Modelling Algorithms to predict their probability of Survival.

numpy pandas data-visualization seaborn matplotlib feature-engineering data-cleaning classification-model

Updated Oct 29, 2019
Jupyter Notebook

TomLin / Playground

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store my personal project

visualization nlp scikit-learn word-embeddings pytorch spacy gensim feature-engineering classification-model

Updated Oct 13, 2019
Jupyter Notebook

tomtung / craftml-rs

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A Rust🦀 implementation of CRAFTML, an Efficient Clustering-based Random Forest for Extreme Multi-label Learning

rust machine-learning supervised-learning multilabel-classification classification-model extreme-classification extreme-multi-label-classification

Updated Mar 19, 2019
Rust

Mamba413 / bess

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Best Subset Selection algorithm for Regression, Classification, Count, Survival analysis

variable-selection feature-selection survival-analysis sparse-linear-systems regression-models classification-model poisson-regression

Updated May 24, 2020
C++

partoftheorigin / predict-blog-author-features

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Predicts gender, age, label, and zodiac sign of the writer from the given text.

machine-learning natural-language-processing text-classification blogs contextual-data text-processing data-preprocessing prediction-algorithm classification-model

Updated Dec 27, 2017
Python

souravs17031999 / Retinal_blindness_detection_Pytorch

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Detecting diabetic retinopathy using Deep learning in PyTorch with Tkinter GUI.

deep-learning neural-network pytorch kaggle-competition diabetic-retinopathy-detection heidisql classification-model retinal-fundus-images tkinter-gui resnet-152

Updated Apr 22, 2020
Jupyter Notebook

rohilrg / COVID19-xray-classifier

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A classifier that takes X-RAY or CT-SCAN to classify positive or negative COVID19 with 99% accuracy, 97% recall (macro avg) and 91% precision (macro avg).

deep-learning vgg16 inceptionv3 xray classification-model covid-19

Updated Apr 14, 2020
Jupyter Notebook

Hulkido / RCNN

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FULL Implementation of RCNN from scratch

python deep-learning notebook tensorflow proposal detection keras computer vision scratch object-detection explanation rcnn iou proper classification-model implimentation

Updated Mar 10, 2020
Jupyter Notebook

BERT-Classifier

guoyaohua / BERT-Classifier

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A general text classifier based on BERT. Multi-process data processing, multi-gpu parallel training, rich monitoring indicators.

nlp machine-learning natural-language-processing deep-neural-networks ai deep-learning tensorflow sentence-classification bert natural-language-understanding classification-model

Updated Dec 30, 2019
Python

naynco / nayn.classifier

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Open

WP-CLI Integration

1

hmert commented Sep 25, 2019

We need following flow with wp-cli:

Read more

enhancement

davidmasse / US-supreme-court-prediction

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Predicting the ideological direction of Supreme Court decisions: ensemble vs. unified case-based model

pipeline-framework feature-importance classification-model categorical-features ensemble-machine-learning curse-of-dimensionality-solution data-leakage

Updated Oct 14, 2018
Jupyter Notebook

sauloafoliveira / python-mlm

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Minimal Learning Machine

numpy machine-learning-algorithms python3 regression-models classification-model

Updated Nov 9, 2018
Python

DelTA-Lab-IITK / CD3A

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curriculum office torch discriminator dropout adapta adversarial-networks classi adversarial-machine-learning classification-model bmvc domainadap dropout-discriminator

Updated Jan 28, 2020
Lua

Htiango / Chinese-Word-Segmentation

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Implement a Chinese Word Segmentation Method based on a paper, extract features and labels from training data and train a classification model.

nlp segmentation classification-model

Updated Nov 24, 2017
Python

Tiwarim386 / Horse-vs-Human-Classifier

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CNN trained using tensorflow to differentiate between images of humans and horses

deep-learning neural-network tensorflow convolutional-neural-networks classification-model

Updated Aug 12, 2019
Jupyter Notebook

mlight9 / Bitcoin_Twitter_Sentiment_Analysis

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Use NLP & Sentiment analysis in Python to determine the impact sentiment has on the price of Bitcoin

python news sentiment-analysis bitcoin twitter-api random-forest logistic-regression vader-sentiment-analysis price-data classification-model textblob-sentiment-analysis

Updated Mar 26, 2018
HTML

chicago-joe / Python-ML-for-Financial-Applications

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Moody's Bond Rating Classifier and USPHCI Economic Activity Forecast Modeling

python data-science machine-learning scikit-learn machine-learning-algorithms regression feature-extraction classification data-analysis ensemble-learning regression-models hyperparameter-tuning financial-markets classification-algorithm financial-engineering classification-trees regression-trees regression-algorithms classification-model machinelearning-python

Updated Jun 13, 2019
Python

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