All the crypto data you care about in a single stream.

AI and Machine Learning with Kubeflow, Amazon EKS, and SageMaker

Personal notes for SAA-C02 test from:

RAPIDS Sample Notebooks

Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker

Learn OpenCV : C++ and Python Examples

Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation

cheat sheets I've collected for data science related aspects. Storing it here to refer to it in future. Predominantly python and R related

Distribution Aware Active Learning

TensorFlow-based implementation of "ICNet for Real-Time Semantic Segmentation on High-Resolution Images".

Companion webpage to the book "Mathematics For Machine Learning"

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

A technical report on convolution arithmetic in the context of deep learning

📝 An awesome Data Science repository to learn and apply for real world problems.

Adversarial Active Learning for Deep Networks

MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville

Learning to Adapt Structured Output Space for Semantic Segmentation, CVPR 2018 (spotlight)

📖 A curated list of resources dedicated to Natural Language Processing (NLP)

A curated list of awesome Deep Learning for Natural Language Processing resources

Models and examples built with TensorFlow

📈 Curated list of resources to help you get started with Data Science

LaTeX files for the Deep Learning book notation

A curated list of deep learning resources for computer vision

TensorFlow Tutorials with YouTube Videos

Pseudo API for Google Trends