Python - 100天从新手到大师

pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行

tensorflow2中文教程，持续更新(当前版本:tensorflow2.0)，tag: tensorflow 2.0 tutorials

A simplified implemention of Faster R-CNN that replicate performance from origin paper

The repository is about 100+ python programming exercise problem discussed, explained, and solved in different ways

A multi-task learning example for the paper https://arxiv.org/abs/1705.07115

PyTorch implementation of MAML: https://arxiv.org/abs/1703.03400

Multi-task learning smile detection, age and gender classification on GENKI4k, IMDB-Wiki dataset.

When Age-Invariant Face Recognition Meets Face Age Synthesis: A Multi-Task Learning Framework (CVPR 2021 oral & TPAMI 2022)

[ICML 2020] Efficient Continuous Pareto Exploration in Multi-Task Learning

MSc group project: Reproduction of 'Multi-Task Learning using Uncertainty to Weigh Losses for Scene Geometry and Semantics'; A. Kendall, Y. Gal, R. Cipolla

[Code] Deep Multi-task Representation Learning: A Tensor Factorisation Approach

Multi Task Learning Implementation with Homoscedastic Uncertainty in Tensorflow

DenseNet MURA

PyTorch implementation of various state-of-the-art supervised deep learning models for the task of multi-class classification of COVID-19 from chest X-ray imaging.