atreyee-m Goto Github PK

intro-transformer-bert

Introduction to Transformers and BERT

invoice2data

Extract structured data from PDF invoices

keras

Deep Learning for humans

larg

Linear Algebra Reading Group

lda-c

This is a C implementation of variational EM for latent Dirichlet allocation (LDA), a topic model for text or other discrete data.

lectures

Oxford Deep NLP 2017 course

machinelearning

projects for machine learning course

multilingual_ner

Applying BERT to named entity recognition in English and Russian.

n-grams

My Python n-gram Language Model from an NLP course. Since there are so public implementations, I feel free to post mine.

naacl2019-select-pretraining-data-for-ner

BiLSTM-CRF model for NER

nebullvm

Plug and play modules to optimize the performances of your AI systems 🚀

ner_blstm-crf

LSTM-CRF for NER with ConLL-2002 dataset

nlp

nlp-architect

NLP Architect by Intel AI Lab: Python library for exploring the state-of-the-art deep learning topologies and techniques for natural language processing and natural language understanding

nlp-notebooks

A collection of notebooks for Natural Language Processing

nlp-progress

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

nlp-recipes

Natural Language Processing Best Practices & Examples

openai-cookbook

Examples and guides for using the OpenAI API

phd-thesis

preliminary-codes-bm

pytorch_geometric

Graph Neural Network Library for PyTorch

recipe-rating-prediction-bkp-

road_safety

scattertext

Beautiful visualizations of how language differs among document types.

soft-eng-interview-prep

Everything you need to know for a Software Engineering interview

tech-interview-handbook

💯 Algorithms study materials, behavioral content and tips for rocking your coding interview

the-algorithm-ml

Source code for Twitter's Recommendation Algorithm

transformers

🤗 Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.

transformers-1

tuning_playbook

A playbook for systematically maximizing the performance of deep learning models.