A model-driven approach to building AI agents in just a few lines of code.

Multi Emotion Detection from COVID-19 Text using BERT

Deep Learning Class

Reduce end to end training time from days to hours (or hours to minutes), and energy requirements/costs by an order of magnitude using coresets and data selection.

Reusable templates for Onepanel Workspaces and Workflows, Tasks and Sidecars

Best Practices, code samples, and documentation for Computer Vision.

The open source, end-to-end computer vision platform. Label, build, train, tune, deploy and automate in a unified platform that runs on any cloud and on-premises.

Powerful and efficient Computer Vision Annotation Tool (CVAT)

Weakly Supervised Learning On Images

PyTorch implementation of Adversarial Reprogramming

A non-targeted adversarial attack method, which won the first place in NIPS 2017 non-targeted adversarial attacks competition

An educational resource to help anyone learn deep reinforcement learning.

Robust evasion attacks against neural network to find adversarial examples

Robust Vision Benchmark

A Dataset for the task of Malicious URL Detection

Caffe2 is a lightweight, modular, and scalable deep learning framework.

pix2code: Generating Code from a Graphical User Interface Screenshot

Deep learning for recommender systems

Oxford Deep NLP 2017 course

Python Data Science Handbook: full text in Jupyter Notebooks

fast.ai Courses

⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.

Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course

Visualizations for machine learning datasets

A challenge to explore adversarial robustness of neural networks on MNIST.

Code for a workshop on statistical interference using computational methods in Python.

Import arbitrary code from Stack Overflow as Python modules.