pipiku915 Goto Github PK

1121

593_data_structure

660_final

660_final_project_xuesongliu_tianyuyuan_yangyangyu

active-learning

active_learning

A walk through of applying an active learning strategy to efficiently train a Gaussian Process model.

api

Pushshift API

asap

Fast and accurate Active SAmpling method for Pairwise comparisons

attentions

PyTorch implementation of some attentions for Deep Learning Researchers.

awesome-gcn

resources for graph convolutional networks （图卷积神经网络相关资源）

babyrobot

A Baby Robot's Guide to Reinforcement Learning

bayesiandatafusion.jl

Bayesian multi-tensor factorization methods, with side information

bayesiandatafusion5-yy.jl

bayesiannonparametrics.jl

BayesianNonparametrics in julia

bottom-up-attention.pytorch

A PyTorch reimplementation of bottom-up-attention models

bpmf

Python implementation of Bayesian Probabilistic matrix Factorization algorithm.

bpr

Bayesian Personalized Ranking using PyTorch

bptf

Bayesian Poisson tensor factorization

btf

Bayesian Tensor Factorization

censnet

clip

Contrastive Language-Image Pretraining

condition-stylegan-pytorch

A fork

conditionalstylegan

Conditional implementation for NVIDIA's StyleGAN architecture

cs583-2019f

CS583: Deep Learning 2019 Fall

cyclip

dallinger

Laboratory automation for the behavioral and social sciences; human culture on a chip.

data-tools-for-reddit

Tools to work with the big reddit JSON data dump.

datasets

A repository of pretty cool datasets that I collected for network science and machine learning research.

dbal

Implementation of Deep Bayesian Active Learning with Image Data with modAL (python module for Active Learning)

deep-active-learning

Deep Active Learning