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MIRT: Michigan Image Reconstruction Toolbox (Julia version)
Lab Materials for MIT 6.S191: Introduction to Deep Learning
Discover augmentation strategies tailored for your dataset
Python/R library for feature selection in neural nets. ("Feature selection using Stochastic Gates", ICML 2020)
[ICML 2021, Long Talk] Delving into Deep Imbalanced Regression
[NeurIPS 2020] Semi-Supervision (Unlabeled Data) & Self-Supervision Improve Class-Imbalanced / Long-Tailed Learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
IntrA: 3D Intracranial Aneurysm Dataset for Deep Learning
Unsupervised Intra-domain Adaptation for Semantic Segmentation through Self-Supervision (CVPR 2020 Oral)
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
Artificial Intelligence for Kinematics, Dynamics, and Optimization
Repo for counting stars and contributing. Press F to pay respect to glorious developers.
Create a PHP application, which manages literature/books
1
Updated Dec 7, 2018
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