How to Train Your Neural Net
Deep learning for various tasks in the domains of Computer Vision, Natural Language Processing, Time Series Forecasting using PyTorch 1.0+.
pytorch python deep-learning computer-vision
Reproduces the book Dive Into Deep Learning (, adapting the code from MXNet into PyTorch.
pytorch book d2l-ai tutorial
NLP Model Selection
NLP model selection guide to make it easier to select models. This is prescriptive in nature and has to be used with caution.
transfer-learning natural-language-processing tutorial
Self Supervised Representation Learning in NLP
An overview of self-supervised pretext tasks in Natural Language Processing
self-supervised-learning natural-language-processing tutorial
Build your first data warehouse with Airflow on GCP
What are the steps in building a data warehouse? What cloud technology should you use? How to use Airflow to orchestrate your pipeline?
airflow google-cloud-platforms data-warehouse production
Time Series Classification Using Deep Learning
In this article, I will introduce you to a new package called timeseries for fastai2 that I lately developed.
time-series fastai tutorial toolkit
IntelliCode Compose: Code Generation Using Transformer
Code completion tool which is capable of predicting sequences of code tokens of arbitrary types, generating up to entire lines of syntactically correct ...
code-generation transformers natural-language-processing tutorial
ML Drawings
Rich repository of ML drawings exported to XML and PNG created using
visualizations machine-learning drawings toolkit
Machine Learning Basics
A practical set of notebooks on machine learning basics, implemented in both TF2.0 + Keras and PyTorch.
deep-learning natural-language-processing tensorflow pytorch
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