Things on this page are fragmentary and immature notes/thoughts of the author. Please read with your own judgement!
https://pytorch.org/docs/stable/torchvision/index.html
Machine Learning Libraries, Computing Frames and Programming Languages
Things on this page are fragmentary and immature notes/thoughts of the author. Please read with your own judgement!
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GPU is more accisible for average individual people. GPU is still the main tool for deep learning right now.
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Python Distributed Computing Frameworks (Ray, Modin, etc.) servers as a mid solution …
Data for NLP Research
Things on this page are fragmentary and immature notes/thoughts of the author. Please read with your own judgement!
The Multi-Genre NLI Corpus (MultiNLI)
General Language Understanding Evaluation (GLUE)
The Stanford Question Answering Dataset
SWAG (Situations With Adversarial Generations)
Reading Comprehension Dataset (RACE)
Heuristic Analysis for NLI Systems Data set …
SLIDE: Sub-Linear Deep Learning Engine
Things on this page are fragmentary and immature notes/thoughts of the author. Please read with your own judgement!
AI Learning
Things on this page are fragmentary and immature notes/thoughts of the author. Please read with your own judgement!
The picture comes from Machine Learning Algorithms Mindmap.
Feature Engineering
Handling Categorical Variables in Machine Learning
Regularization in Machine Learning Models
Ensemble
Frameworks
Libraries for Gradient Boosting
Big-data (Spark) Friendly Frameworks …
Tips on Feature Engineering for Machine Learning
Things on this page are fragmentary and immature notes/thoughts of the author. Please read with your own judgement!
https://towardsdatascience.com/automatic-feature-engineering-using-deep-learning-and-bayesian-inference-application-to-computer-7b2bb8dc7351
Feature selection Feature extraction Adding features through domain expertise
FeatureTools a Python library for feature engineering Deep neural network can extract features too
whether feature engineering is …