Tutorial materials for Part of NSU Intro to Deep Learning with PyTorch.

Last update: Jun 08, 2022

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Deep Learning neural-nets-for-babies

Overview

Intro to Deep Learning

Materials are part of North South University (NSU) Intro to Deep Learning with PyTorch workshop series. (Slides)

Related materials

Intro to Python - https://github.com/hasibzunair/ieee18-cv
Intro to TensorFlow - https://github.com/hasibzunair/ericsson-upskill-tutorials
Intro to Image Processing and Computer Vision - https://github.com/hasibzunair/ieee18-cv
Intro to Image Classification with Python and Keras - https://github.com/hasibzunair/whats-image-classifcation-really
How to get started building vision systems - Slides

Made with ❤️ by Hasib Zunair

Owner

Hasib Zunair

GitHub Repository

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Tutorial materials for Part of NSU Intro to Deep Learning with PyTorch.

Related tags

Overview

Intro to Deep Learning

Related materials

Owner

Hasib Zunair

The official PyTorch implementation for NCSNv2 (NeurIPS 2020)

A toolset for creating Qualtrics-based IAT experiments

Code for the submitted paper Surrogate-based cross-correlation for particle image velocimetry

Shared Attention for Multi-label Zero-shot Learning

Unofficial Implementation of MLP-Mixer, Image Classification Model

Official implementation of the paper "Lightweight Deep CNN for Natural Image Matting via Similarity Preserving Knowledge Distillation"

LLVIP: A Visible-infrared Paired Dataset for Low-light Vision

A more easy-to-use implementation of KPConv based on PyTorch.

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Compare GAN code.

a reimplementation of UnFlow in PyTorch that matches the official TensorFlow version

Code for HLA-Face: Joint High-Low Adaptation for Low Light Face Detection (CVPR21)

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