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ML-From-Scratch
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 learning.PyTorch-GAN
PyTorch implementations of Generative Adversarial Networks.Keras-GAN
Keras implementations of Generative Adversarial Networks.PyTorch-YOLOv3
Minimal PyTorch implementation of YOLOv3NapkinML
A tiny lib with pocket-sized implementations of machine learning models in NumPy, most of which will fit in a tweet.Fast-Neural-Style-Transfer
Fast Neural Style Transfer in PytorchAction-Recognition
Exploration of different solutions to action recognition in video, using neural networks implemented in PyTorch.PyTorch-Deep-Dream
Minimal PyTorch implementation of Deep Dreameriklindernoren.se
Personal websiteHomeAssistant
Alfred - Domestic butler - IoT ExperimentSemSegGUI
GoogleTTS
Lightweight Python wrapper of the Google Text-To-Speech APITBMI26-Neural-Networks
Repository for the lab series in TBMI26 Neural Networks and Learning Systems. Matlab implementations of the Perceptron, MLP, Adaboost, kNN and a Q-learning examplePFTA-Final-Assignment
Final assignment of the course 'Python for Text Analysis'TDDC17-Artificial-Intelligence
Lab assignments, exam questions and answers. https://www.ida.liu.se/~TDDC17/info/labs.en.shtmlLove Open Source and this site? Check out how you can help us