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.
Amazon-Forest-Computer-Vision
Amazon Forest Computer Vision: Satellite Image tagging code using PyTorch / Keras with lots of PyTorch tricks
Arch-Data-Science
Archlinux PKGBUILDs for Data Science, Machine Learning, Deep Learning, NLP and Computer Vision
Arraymancer
A fast, ergonomic and portable tensor library in Nim with a deep learning focus for CPU, GPU and embedded devices via OpenMP, Cuda and OpenCL backends
McKinsey-SmartCities-Traffic-Prediction
Adventure into using multi attention recurrent neural networks for time-series (city traffic) for the 2017-11-18 McKinsey IronMan (24h non-stop) prediction challenge
bert-han
Hierarchical-Attention-Network
deep-learning-roadmap
my own deep learning mastery roadmap
gail-pytorch
A simple implementation of Generative Adversarial Imitation Learning with PyTorch
knowledge-tracing-collection-pytorch
A collection of Knowledge Tracing model implementations with PyTorch
ContraD
Code for the paper "Training GANs with Stronger Augmentations via Contrastive Discriminator" (ICLR 2021)
selective-convolution
Code for the paper "Training CNNs with Selective Allocation of Channels" (ICML 2019)