Intisar2022

Intisar2022's Stars

• skandavivek/fine-tune-transformer-classifier

  Language:Jupyter Notebook1

• chinmusique/AP-slides

  my slides and other resources from talks

  2

• susanli2016/Machine-Learning-with-Python

  Python code for common Machine Learning Algorithms

  Language:Jupyter Notebook4.3k4.8k

• rcantini/BERT_text_classification

  How to fine-tune a BERT classifier for detecting the sentiment of a movie review and the toxicity of a comment.

  Language:Python134

• jamescalam/transformers

  Language:Jupyter Notebook573636

• miguelfzafra/Latest-News-Classifier

  Master in Data Science Final Project

  Language:Jupyter Notebook390259

• dipansh-girdhar/Text-classification-for-long-text

  Text Classification using transformer based models

  Language:Python2310

• dipansh-girdhar/Semantic-Text-Similarity-Checker-file

  Language:Jupyter Notebook31

• dennybritz/reinforcement-learning

  Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

  Language:Jupyter Notebook20.4k6k

• avisheknag17/public_ml_models

  Language:Jupyter Notebook6258

• rahul-raoniar/Interpretable-Machine-Learning-with-Python

  Interpretable Machine Learning with Python, published by Packt

  Language:Jupyter Notebook2

• ThilinaRajapakse/simpletransformers

  Transformers for Information Retrieval, Text Classification, NER, QA, Language Modelling, Language Generation, T5, Multi-Modal, and Conversational AI

  Language:Python4.1k727

• feldges/Classification

  Example of classification using various Machine Learning techniques

  Language:Jupyter Notebook33

• arshren/Reading-Files

  To Read a csv file and using selective columns

  Language:Jupyter Notebook12

• AnjaneyaTripathi/ontology-knowledge-graph

  A basic implementation of ontologies and knowledge graphs.

  Language:Jupyter Notebook2514

• AnjaneyaTripathi/multilingual-summarizer

  A multilingual and multi-document model that uses an enhanced version of TF-IDF and knowledge graphs to generate an abstractive summary

  Language:Python41

• Law-AI/semantic-segmentation

  Semantic Segmentation of Legal texts that labels sentences with one of 7 rhetorical roles.

  Language:Python6128

• QaisarRajput/doc2vec

  Text classification using Doc2Vec

  Language:Python53

• franbvalero/BERT-long-sentence-classification

  Using BERT for long sentence classification (more than 512 word pieces).

  Language:Python172

• amazon-science/efficient-longdoc-classification

  Language:Python4010

• AnjaneyaTripathi/knowledge_graph

  Knowledge Graph for Legal Documents using Litigation Releases from the SEC website. Classifies into different crimes, extracts relevant information (violator, violation, action taken by authorities and fines) and finally generates the knowledge graph.

  Language:Jupyter Notebook6514

• gmihaila/ml_things

  This is where I put things I find useful that speed up my work with Machine Learning. Ever looked in your old projects to reuse those cool functions you created before? Well, this repo is designed to be a Python Library of functions I created in my previous project that can be reused. I also share some Notebooks Tutorials and Python Code Snippets.

  Language:Jupyter Notebook25161

• navid5792/ID-LSTM-pytorch

  A Pytorch implementation of the AAAI 2018 Paper "Learning Structured Representation for Text Classification via Reinforcement Learning"

  Language:Python339

• trusthlt/mining-legal-arguments

  Mining Legal Arguments in Court Decisions - Data and software

  Language:Python635

• sgrvinod/a-PyTorch-Tutorial-to-Text-Classification

  Hierarchical Attention Networks | a PyTorch Tutorial to Text Classification

  Language:Python24556

• tqtg/hierarchical-attention-networks

  TensorFlow implementation of the paper "Hierarchical Attention Networks for Document Classification"

  Language:Python8625

• arunarn2/HierarchicalAttentionNetworks

  Hierarchical Attention Networks for Document Classification in Keras

  Language:Python7329

• uvipen/Hierarchical-attention-networks-pytorch

  Hierarchical Attention Networks for document classification

  Language:Python381103

• kavgan/nlp-in-practice

  Starter code to solve real world text data problems. Includes: Gensim Word2Vec, phrase embeddings, Text Classification with Logistic Regression, word count with pyspark, simple text preprocessing, pre-trained embeddings and more.

  Language:Jupyter Notebook1.1k786

• krishnaik06/Pytorch-Tutorial

  Language:Jupyter Notebook95156