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100-days-of-python

🐍 The Complete Python Pro Bootcamp for 2021

100days

100 days of algorithms

3dod_thesis

3D Object Detection for Autonomous Driving in PyTorch, trained on the KITTI dataset.

60_days_rl_challenge

Learn Deep Reinforcement Learning in Depth in 60 days

aa203-examples

Examples shown in class and recitation from AA203: Optimal and Learning-Based Control.

aa228-notebook

IJulia notebooks for AA228/CS238 Decision Making Under Uncertainty course at Stanford University

active-bayesian-coresets

adanet

Fast and flexible AutoML with learning guarantees.

adventures-in-ml-code

This repository holds all the code for the site http://www.adventuresinmachinelearning.com

albumentations

Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

alibi

Algorithms for explaining machine learning models

alibi-detect

Algorithms for outlier, adversarial and drift detection

anatomyofmatplotlib

Anatomy of Matplotlib -- tutorial developed for the SciPy conference

aneieabcde

A novel and effective image encryption algorithm based on Chaos and DNA encoding

anomaly-detection-resources

Anomaly detection related books, papers, videos, and toolboxes

arbsr

[ICCV 2021] Learning A Single Network for Scale-Arbitrary Super-Resolution

arc

The Abstraction and Reasoning Corpus

awesome-computer-vision

A curated list of awesome computer vision resources

awesome-deblurring

A curated list of resources for Image and Video Deblurring

awesome-deep-graph-anomaly-detection

Awesome graph anomaly detection techniques built based on deep learning frameworks. Collections of commonly used datasets, papers as well as implementations are listed in this github repository. We also invite researchers interested in anomaly detection, graph representation learning, and graph anomaly detection to join this project as contributors and boost further research in this area.

awesome-deep-learning-survey-papers

In this page, I will provide a list of survey papers on topics related to deep learning and its applications in various fields.

awesome-deep-vision

A curated list of deep learning resources for computer vision

awesome-deeplearning-resources

Deep Learning and deep reinforcement learning research papers and some codes

awesome-graph-classification

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

awesome-iccv2021-low-level-vision

A Collection of Papers and Codes for ICCV2021 Low Level Vision and Image Generation

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

awesome-object-detection

Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html

awesome-people-in-computer-vision

awesome-python

A curated list of awesome Python frameworks, libraries and software

awesome-rl

Reinforcement learning resources curated