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activelearningframeworktutorial

An active learning framework, using interchangeable algorithms and sample selection functions, including experimental results on a toy data-set.

attentionxml

Implementation for "AttentionXML: Label Tree-based Attention-Aware Deep Model for High-Performance Extreme Multi-Label Text Classification"

awesome-nlp

:book: A curated list of resources dedicated to Natural Language Processing (NLP)

awesome-production-machine-learning

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

bert_binary_text_classification

Accompanying code for the Medium article

bert_extension_tf

BERT Extension in TensorFlow

biobert

BioBERT: a pre-trained biomedical language representation model for biomedical text mining

coding-interview-university

A complete computer science study plan to become a software engineer.

colossalai

Making large AI models cheaper, faster and more accessible

coref_cnn

coursework

Checklist of videos and exercises that you can follow if you want to get a good baseline for Data Structures and Algorithms.

data-science-interview-questions-answers-1

Curated list of data science interview questions and answers

deep-learning

This repository is about different deep learning projects

deep-learning-book-chapter-summaries

Attempting to make the Deep Learning Book easier to understand.

deep-learning-v2-pytorch

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

deeplearning

Deep Learning (Python, C, C++, Java, Scala, Go)

docker-crash-course

Docker for beginners - with Java and Spring Boot Applications and Microservices

dtu_mlops

Exercises and supplementary material for the machine learning operations course at DTU.

e2e-coref

End-to-end Neural Coreference Resolution

entity-recognition-datasets

A collection of corpora for named entity recognition (NER) and entity recognition tasks. These annotated datasets cover a variety of languages, domains and entity types.

esm-fb-protein-language-model

Evolutionary Scale Modeling (esm): Pretrained language models for proteins

etagger

reference tensorflow code for named entity recognition

fastai

The fastai deep learning library, plus lessons and tutorials

fullstack-course5

All of the source code for the Single Page Web Applications with AngularJS course.

gap-coreference

GAP is a gender-balanced dataset containing 8,908 coreference-labeled pairs of (ambiguous pronoun, antecedent name), sampled from Wikipedia for the evaluation of coreference resolution in practical applications.

glg--topic-modeling-and-document-clustering

Cluster documents and extract global and local topics per cluster using LDA (Latent Dirichlet Allocation) algorithm

glg_group2

GLG Capstone Project for NER, Clustering and Topic Modeling

gpt4all

gpt4all: an ecosystem of open-source chatbots trained on a massive collections of clean assistant data including code, stories and dialogue

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

hdp-hierarchical-dirichlet-processes.

Hierarchical Dirichlet processes. Topic models where the data determine the number of topics. This implements Gibbs sampling.