Deep learning topic
Deep learning is an AI function and a subset of machine learning, used for processing large amounts of complex data. Deep learning can automatically create algorithms based on data patterns.
dissertation
:mortar_board: :scroll: This repository holds my final year and dissertation project during my time at the University of Lincoln titled 'Deep Learning for Emotion Recognition in Cartoons'.
CS231n
PyTorch/Tensorflow solutions for Stanford's CS231n: "CNNs for Visual Recognition"
disentangling-vae
Experiments for understanding disentanglement in VAE latent representations
lossyless
Generic image compressor for machine learning. Pytorch code for our paper "Lossy compression for lossless prediction".
Neural-Process-Family
Code for the Neural Processes website and replication of 4 papers on NPs. Pytorch implementation.
FEGAN
Self-Supervised Deep Learning for Fisheye Image Rectification (pytorch implementation).
AI-Residency-List
List of AI Residency & Research programs, Ph.D Fellowships, Research Internships
paper-log
읽어야 하는 논문들을 관리하고, 읽은 논문들의 기록을 남기는 공간
BlinkDL
A minimalist deep learning library in Javascript using WebGL + asm.js. Run convolutional neural network in your browser.
Deep-CFR
Scalable Implementation of Deep CFR and Single Deep CFR