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svgd-1

PyTorch implementation of Stein Variational Gradient Descent

swa

Stochastic Weight Averaging in PyTorch

swa_gaussian

Code repo for "A Simple Baseline for Bayesian Uncertainty in Deep Learning"

tensor2tensor

Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

tensorboardx

tensorboard for pytorch (and chainer, mxnet, numpy, ...)

tensorflow

Computation using data flow graphs for scalable machine learning

tensorflow-examples

TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

tensorflow-windows-wheel

Tensorflow prebuilt binary for Windows

tensorflow2_tutorials_chinese

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

test

text

Data loaders and abstractions for text and NLP

tfpyth

Putting TensorFlow back in PyTorch, back in TensorFlow (differentiable TensorFlow PyTorch adapters).

torchdiffeq

Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.

torchgan

Research Framework for easy and efficient training of GANs based on Pytorch

torchsde

Differentiable SDE solvers with GPU support and efficient sensitivity analysis.

transferlearning

Everything about Transfer Learning and Domain Adaptation--迁移学习

tutorials

uncertainty_estimation_deep_learning

This repository provides the code used to implement the framework to provide deep learning models with total uncertainty estimates as described in "A General Framework for Uncertainty Estimation in Deep Learning" (Loquercio, Segù, Scaramuzza. RA-L 2020).

vae_tutorial

Caffe code to accompany my Tutorial on Variational Autoencoders

variational-autoencoder

generate MNIST using a Variational Autoencoder

vip

Variational Implicit Processes

vision

Datasets, Transforms and Models specific to Computer Vision

vpncn.github.io

2023**翻墙软件VPN推荐以及科学上网避坑，稳定好用。对比SSR机场、蓝灯、V2ray、老王VPN、VPS搭建梯子等科学上网与翻墙软件，**最新科学上网翻墙梯子VPN下载推荐。

wassersteingan

wgan-gp

A pytorch implementation of Paper "Improved Training of Wasserstein GANs"

wgan-pytorch

Implementing WGAN by pytorch

xai_resources

Interesting resources related to XAI (Explainable Artificial Intelligence)

xgboost

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow

zhusuan

A library for Bayesian deep learning, generative models, based on Tensorflow