Stars
awesome few shot / meta learning papers
FSL-Mate: A collection of resources for few-shot learning (FSL).
🦊A highly customizable theme for vim and neovim with support for lsp, treesitter and a variety of plugins.
An open source list of developer questions to ask prospective employers
Highlights given keywords on any web page you visit —Mozilla Firefox Add-on—
Awesome Incremental Learning
A curated list of awesome neural radiance fields papers
A curated list of resources on implicit neural representations.
An unofficial styleguide and best practices summary for PyTorch
A collection of 1000+ survey papers on Natural Language Processing (NLP) and Machine Learning (ML).
Deep Multi-scale CNN for Dynamic Scene Deblurring
Source code for CVPR 2020 paper "Learning to Forget for Meta-Learning"
Source code for CVPR 2020 paper "Scene-Adaptive Video Frame Interpolation via Meta-Learning"
The original code for the paper "How to train your MAML" along with a replication of the original "Model Agnostic Meta Learning" (MAML) paper in Pytorch.
Code for the paper "On First-Order Meta-Learning Algorithms"
A curated list of Meta-Learning resources/papers.
Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)
A collection of AWESOME things about domian adaptation
Pytorch-based tools for visualizing and understanding the neurons of a GAN. https://gandissect.csail.mit.edu/
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep lear…
A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.
A complete computer science study plan to become a software engineer.