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Python Data Science Handbook: full text in Jupyter Notebooks
Learn how to design, develop, deploy and iterate on production-grade ML applications.
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Python programs, usually short, of considerable difficulty, to perfect particular skills.
The fastai book, published as Jupyter Notebooks
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
A modern Anki custom scheduling based on Free Spaced Repetition Scheduler algorithm
Repository for benchmarking graph neural networks (JMLR 2023)
InferSent sentence embeddings
Beyond Accuracy: Behavioral Testing of NLP models with CheckList
The Hitchhiker's Guide to Data Science for Social Good
The open source repository for the Causal Modeling in Machine Learning Workshop at Altdeep.ai @ www.altdeep.ai/courses/causalML
A template for small scientific python projects
STAT 453: Intro to Deep Learning @ UW-Madison (Spring 2020)
Cleora AI is a general-purpose open-source model for efficient, scalable learning of stable and inductive entity embeddings for heterogeneous relational data. Created by Synerise.com team.
Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data
A Python framework for performing information retrieval experiments, building on http://terrier.org/
Graph convolutional neural network for multirelational link prediction
Host repository for the "Reproducible Deep Learning" PhD course
MixText: Linguistically-Informed Interpolation of Hidden Space for Semi-Supervised Text Classification
a gaggle of deep neural architectures for text ranking and question answering, designed for Pyserini
PPNP & APPNP models from "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019)
Introduction to Cultural Analytics & Python, course website and online textbook powered by Jupyter Book
Explanatory Model Analysis. Explore, Explain and Examine Predictive Models