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Segmenting Kelp Forests at Landsat images
Code for the book Grokking Algorithms (https://amzn.to/29rVyHf)
🦁 Lion, new optimizer discovered by Google Brain using genetic algorithms that is purportedly better than Adam(w), in Pytorch
Source code for the C++ 20 Masterclass on udemy
A library for solving differential equations using neural networks based on PyTorch, used by multiple research groups around the world, including at Harvard IACS.
Datasets of fish for deep learning.
Breaching privacy in federated learning scenarios for vision and text
An Incremental Learning, Continual Learning, and Life-Long Learning Repository
Awesome Few-Shot Class-Incremental Learning
(NeurIPS 2021) Revisiting Deep Learning Models for Tabular Data
Fast and customizable framework for automatic ML model creation (AutoML)
PyTorch reimplementation of per-channel energy normalization for audio.
Avalanche: an End-to-End Library for Continual Learning based on PyTorch.
Source codes for "Improved Few-Shot Visual Classification" (CVPR 2020), "Enhancing Few-Shot Image Classification with Unlabelled Examples" (WACV 2022), and "Beyond Simple Meta-Learning: Multi-Purpo…
Multivariate Time Series Transformer, public version
Code for the NeurIPS 2017 Paper "Prototypical Networks for Few-shot Learning"
The ORBIT dataset is a collection of videos of objects in clean and cluttered scenes recorded by people who are blind/low-vision on a mobile phone. The dataset is presented with a teachable object …
The PyTorch-based audio source separation toolkit for researchers
A Python library for audio data augmentation. Inspired by albumentations. Useful for machine learning.
A learning rate range test implementation in PyTorch
Code for 3rd place solution in Kaggle Humpback Whale Identification Challenge.
Neural Style and MSG-Net
BoxMOT: pluggable SOTA tracking modules for segmentation, object detection and pose estimation models