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Reproduction of "Learning to Learn by Gradient Descent by Gradient Descent"
Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)
Paper implementations from scratch and machine learning tutorials
Learning to Learn in TensorFlow
A PyTorch implementation of Learning to learn by gradient descent by gradient descent
Collection of algorithms to learn loss and reward functions via gradient-based bi-level optimization.
A small and simple tutorial on how to craft a LSTM nn.Module by hand on PyTorch.
pytorch implementation of Optimization as a Model for Few-shot Learning
JAX implementation of Learning to learn by gradient descent by gradient descent
Generating RSA Keys (public and private) along with their two big primes in C++ and saving them to text files. All done using BigInteger Library.
A Python implementation of John Gruber’s Markdown with Extension support.
A java based implementation of Mean Shift Segmentation Algorithm
Simple implementation of mean shift clustering in python
A LaTeX class for books, reports or theses based on https://github.com/kenohori/thesis and https://github.com/Tufte-LaTeX/tufte-latex.
ZviBaratz / django_mri
Forked from TheLabbingProject/django_mriA reusable Django app to manage MRI data.
A technical report on convolution arithmetic in the context of deep learning
A dendrogram viewer web-application
Learn OpenCV : C++ and Python Examples
A simple template that lets you display events on a timeline, as well as organize them in groups (week days, conference rooms etc…)