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Welcome! 👋 This is the working draft of the Aalto Dictionary of Machine Learning (ADictML) — a growing collection of short, clear definitions for key terms in machine learning.
Material workbench for the master-level course CS-E4740 "Federated Learning"
Fraunhofer HHI implementation of the Neural Network Coding (NNC) Standard
This component allows you to pull in the energy prices into Home-Assistant.
The official implementation of “Sophia: A Scalable Stochastic Second-order Optimizer for Language Model Pre-training”
🎓 Path to a free self-taught education in Computer Science!
Implementation of Predictive Coding model for transfer learning in PyTorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
Fraunhofer Neural Network Encoder/Decoder (NNCodec)
This repository contains scripts to calculate the famous Bjontegaard-Delta metric with different interpolation functions.
QKeras: a quantization deep learning library for Tensorflow Keras
Working files for the textbook project "Machine Learning. The Basics"
[CVPR 2021] Monocular depth estimation using wavelets for efficiency
Automatically visualize your pandas dataframe via a single print! 📊 💡
Bayesian Image Reconstruction using Deep Generative Models
VVdeC, the Fraunhofer Versatile Video Decoder
Sample code to call C API for Tensorflow 2.1
EdgeConnect: Structure Guided Image Inpainting using Edge Prediction, ICCV 2019 https://arxiv.org/abs/1901.00212
[ECCV 2020] Flow-edge Guided Video Completion
VVenC, the Fraunhofer Versatile Video Encoder
☄🌌️ The minimal, blazing-fast, and infinitely customizable prompt for any shell!
Quantify the difference between two arbitrary curves in space
😎 A curated list of awesome GitHub Profile which updates in real time
A TensorFlow Implementation of the Transformer: Attention Is All You Need
TensorFlow-based neural network library