Course content and resources for the AIAIART course.

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Deep Learningaiaiart
Overview

AIAIART course

This repo will house the notebooks used for the AIAIART course. Part 1 (first four lessons) ran via Discord in September/October 2021. Part 2 started Saturday April 9th at 4pm UTC. Join the Discord linked below if you'd like to join the chat and get reminders for the livestream! Streams run on https://www.twitch.tv/johnowhitaker and more concise videos tend to go up on YouTube the following day.

The videos for past lessons: https://www.youtube.com/playlist?list=PL23FjyM69j910zCdDFVWcjSIKHbSB7NE8

Notebooks:

Feel free to reach out to me @johnowhitaker on Twitter with feedback, questions or requests. And come join our discord to share your work and chat with others doing similar projects: https://discord.gg/vSjhr8xb4g. The Discord is the best way to hear about upcoming lessons and livestreams.

Owner
Jonathan Whitaker
Data Scientist and independent researcher based in Zimbabwe.
Jonathan Whitaker
Code for the paper: Hierarchical Reinforcement Learning With Timed Subgoals, published at NeurIPS 2021

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Self-supervised learning on Graph Representation Learning (node-level task)

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Bayesian Optimization using GPflow

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Python port of R's Comprehensive Dynamic Time Warp algorithm package

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code for Grapadora research paper experimentation

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Official implementation of the paper 'Details or Artifacts: A Locally Discriminative Learning Approach to Realistic Image Super-Resolution' in CVPR 2022

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Hand Gesture Volume Control | Open CV | Computer Vision

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mlpack: a scalable C++ machine learning library --

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A tool for calculating distortion parameters in coordination complexes.

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Augmented Traffic Control: A tool to simulate network conditions

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Lecture materials for Cornell CS5785 Applied Machine Learning (Fall 2021)

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Circuit Training: An open-source framework for generating chip floor plans with distributed deep reinforcement learning

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Google Research 479 Dec 25, 2022
ESL: Event-based Structured Light

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Contextual Attention Localization for Offline Handwritten Text Recognition

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Deduplicating Training Data Makes Language Models Better

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A torch.Tensor-like DataFrame library supporting multiple execution runtimes and Arrow as a common memory format

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dyld_shared_cache processing / Single-Image loading for BinaryNinja

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Implementation of C-RNN-GAN.

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Unadversarial Examples: Designing Objects for Robust Vision

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