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amazon-sagemaker-examples

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

applied-deep-learning

Applied Deep Learning Course

autogluon-tutorials

Copy of awslabs/autogluon tutorial notebooks

awesome-federated-learning

resources about federated learning and privacy in machine learning

awesome-graph-classification

A collection of important graph embedding, classification and representation learning papers with implementations.

awesome-ml-courses

Awesome free machine learning and AI courses with video lectures.

awesome-mlss

List of summer schools in machine learning + related fields across the globe

azure-mol-samples

Supporting resources for "Learn Azure in a Month of Lunches" (Manning Publications)

bayesoptbook.github.io

Companion webpage for the book "Bayesian Optimization" by Roman Garnett

bdl-benchmarks

Bayesian Deep Learning Benchmarks

beginners-pytorch-deep-learning

Repository for scripts and notebooks from the book: Beginner’s Guide to Using PyTorchfor Deep Learning

bookshelf

Virtual bookshelf for math and computer science.

co-learning-lounge

Welcome to the one point community-driven encyclopedia for anything in technology.

coding-challenge-python-code

Python code used for a coding challenge

coding-interview-university

A complete computer science study plan to become a software engineer.

cookbook

The Data Engineering Cookbook

course-nlp

A Code-First Introduction to NLP course

cvxpylayers

Differentiable convex optimization layers

d2l-en

Dive into Deep Learning: an interactive deep learning book with code, math, and discussions

data-science-interviews

Data science interview questions and answers

dc_ds_06_03_19

deep-learning-coursera

Deep Learning Specialization by Andrew Ng, deeplearning.ai.

deep-learning-v2-pytorch

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

deep-tutorials-for-pytorch

In-depth tutorials for implementing deep learning models on your own with PyTorch.

ds-atlanta-06_24_19

Class repository for data science material

ds-atlanta-09_16_19

Class repository for data science material

ds-take-home

My solution to the book A Collection of Data Science Take-Home Challenges

dsc-the-data-science-process

enbpi

Code for ICML 2021 Oral Paper: Conformal Prediction Interval for Dynamic Time-Series AND the extended version under review by the Journal of Machine Learning Research

essays-on-data-science

In which I put together my thoughts on the practice of data science.