galuhsahid

jax

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

applied-ml

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

RustPython

A Python Interpreter written in Rust

awesome-production-machine-learning

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

imgaug

Image augmentation for machine learning experiments.

a-picture-is-worth-a-1000-words

I am trying to describe complex matters in simple doodles!

great_expectations

Always know what to expect from your data.

nlp_course

YSDA course in Natural Language Processing

cudf

cuDF - GPU DataFrame Library

awful-ai

😈Awful AI is a curated list to track current scary usages of AI - hoping to raise awareness

nb

CLI and local web plain text note‑taking, bookmarking, and archiving with linking, tagging, filtering, search, Git versioning & syncing, Pandoc conversion, + more, in a single portable script.

awesome-self-supervised-learning

A curated list of awesome self-supervised methods

awesome-multimodal-ml

Reading list for research topics in multimodal machine learning

edward

A probabilistic programming language in TensorFlow. Deep generative models, variational inference.

nlpaug

Data augmentation for NLP

ISLR-python

An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code

ThinkStats2

Text and supporting code for Think Stats, 2nd Edition

lit

The Learning Interpretability Tool: Interactively analyze ML models to understand their behavior in an extensible and framework agnostic interface.

make-sense

Free to use online tool for labelling photos. https://makesense.ai

pandas-datareader

Extract data from a wide range of Internet sources into a pandas DataFrame.

ml-surveys

📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.

exercises-in-programming-style

Comprehensive collection of programming styles using a simple computational task, term frequency

MixNMatch

Pytorch implementation of MixNMatch

docs-l10n

Translations of TensorFlow documentation

lowresource-nlp-bootcamp-2020

The website for the CMU Language Technologies Institute low resource NLP bootcamp 2020

seai

CMU Lecture: Machine Learning In Production / AI Engineering / Software Engineering for AI-Enabled Systems (SE4AI)

rss-to-readme

📡📝 A GitHub Action that updates a section of a README from an RSS feed.

GDCFPDay-Jakarta-Resources

This is a meta repo to collect Global Diversity CFP Day Jakarta 2020

translated-dataset