OYZZ's repositories

active_learning_coreset

Source code for ICLR 2018 Paper: Active Learning for Convolutional Neural Networks: A Core-Set Approach

Language:PythonLicense:MITStargazers:0Issues:0Issues:0

Awesome-Incremental-Learning

Awesome Incremental Learning

Stargazers:0Issues:0Issues:0

BatchBALD

Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning.

Language:PythonLicense:GPL-3.0Stargazers:0Issues:0Issues:0
Language:Jupyter NotebookStargazers:0Issues:0Issues:0

deep-active-learning

Deep Active Learning

Language:PythonStargazers:0Issues:0Issues:0

Efficient_Global_Optimization_Algorithms

standard, parallel, constrained, and multiobjective EGO algorithms

Language:MATLABStargazers:0Issues:0Issues:0
Language:PythonStargazers:0Issues:0Issues:0

GaussianProcesses

Python3 project applying Gaussian process regression for forecasting stock trends

Language:PythonStargazers:0Issues:0Issues:0

PlotNeuralNet

Latex code for making neural networks diagrams

Language:TeXLicense:MITStargazers:0Issues:0Issues:0
Language:PythonStargazers:0Issues:0Issues:0

pytorch-mobilenet-v3

MobileNetV3 in pytorch and ImageNet pretrained models

License:Apache-2.0Stargazers:0Issues:0Issues:0

Udacity-MLND-NanoDegree

2017.08 Started to study Machine Learning at Udacity and get nano degree.More detail in every project

Language:Jupyter NotebookStargazers:0Issues:0Issues:0

vaal

Variational Adversarial Active Learning (ICCV 2019)

License:BSD-2-ClauseStargazers:0Issues:0Issues:0