Zero To One For NLP

All the best NLP resources out there


Come join Maxpool - A Data Science community to discuss real ML problems

NLP has grown into a field of wide applications ranging from chatbots to news generation. I started my journey into NLP with standard courses but a majority of my practical learnings came from personal blogs of researchers.

This metablog is a collection of my favourite blogs and courses I go through every once in a while to refresh myself.

Basics

fastai

  1. Fastai ML

  2. Fastai DL

  3. Fastai NLP

Embeddings

https://github.com/graykode/nlp-roadmap

Word2Vec

GLOVE

Attention

Language models

ELMO

Transformer

BERT

GPT

XLNet by MLexplained

DistilBERT

ALBERT

Embeddings summary by Lilian Weng

Transfer learning

ULMFiT (Universal Language Model For Fine Tuning)

Ruder on Multi-task learning

Transfer learning

PyTorch

Get Pro in PyTorch For NLP

Deep Learning (with PyTorch)

NN concepts

Normalisation

4 Sequence Encoding Blocks You Must Know Besides RNN/LSTM

Conversational AI

Neural Approaches review paper

What makes a good conversation?

Denny’s

Han’s

Rasa

Huggingface

Putting ML to production

Airbnb

Uber

Databricks Mlflow

Extra tips

Interview

Libraries

Semantic search

On Semantic Search

Random

Hackathons

AutoML

Papers and code

This was originally published at Modern NLP.


Come join Maxpool - A Data Science community to discuss real ML problems!

I am also on MediumTwitter & LinkedIn!!