Stars
An unofficial PyTorch implementation of "Learning Loss for Active Learning"
A curated list of the latest breakthroughs in AI (in 2021) by release date with a clear video explanation, link to a more in-depth article, and code.
ICCV2021 - training a post-hoc lightweight GAN-discriminator for open-set recognition
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
Keras implementation for the research paper "Towards Open Set Deep Networks" A Bendale, T Boult, CVPR 2016
PyTorch code for our paper: Open Set Recognition Through Deep Neural Network Uncertainty: Does Out-of-Distribution Detection Require Generative Classifiers? https://arxiv.org/abs/1908.09625
Python package facilitating the use of Bayesian Deep Learning methods with Variational Inference for PyTorch
A curated list of papers & resources linked to open set recognition, out-of-distribution, open set domain adaptation and open world recognition
I categorize, annotate and write comments for all research papers I read (460+ papers since 2018).
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
《动手学深度学习》:面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。
A Python implementation of global optimization with gaussian processes.
《深入浅出 PyTorch——从模型到源码》源代码和勘误(见Issues)
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。
Learn how to design, develop, deploy and iterate on production-grade ML applications.
OpenMMLab Detection Toolbox and Benchmark
The pytorch re-implement of the official efficientdet with SOTA performance in real time and pretrained weights.
Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more
Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more