Working through the Advent of Code with the Typelevel Stack

A MNIST-like fashion product database. Benchmark 👇

Notebooks for learning deep learning

Course material for STAT 479: Machine Learning (FS 2019) taught by Sebastian Raschka at University Wisconsin-Madison

repository of docker images

Material used for Deep Learning related workshops for Machine Learning Tokyo (MLT)

Sequence modeling benchmarks and temporal convolutional networks

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

Build Graph Nets in Tensorflow

Fast and flexible AutoML with learning guarantees.

Evaluating Cross-lingual Sentence Representations

Visualizations for machine learning datasets

Classifying time series using feature extraction

InferSent sentence embeddings

Summaries of machine learning papers

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

The open source developer platform to build AI agents and models with confidence. Enhance your AI applications with end-to-end tracking, observability, and evaluations, all in one integrated platform.

Explore your Apple Watch heart rate data in R

Largest list of models for Core ML (for iOS 11+)

Visualizer for neural network, deep learning and machine learning models

Event-driven Automation Framework for Kubernetes

Highly configurable logging library

Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

Papers, code and datasets about deep learning and multi-modal learning for video analysis

Built for developers familiar with IBM Power systems that are looking to leverage IBM's new PowerAI offering for machine learning.

The neural network model is capable of detecting five different male/female emotions from audio speeches. (Deep Learning, NLP, Python)

Snips Python library to extract meaning from text

The Natural Language Decathlon: A Multitask Challenge for NLP