#计算机科学#A Collection of Variational Autoencoders (VAE) in PyTorch.
翻译 - PyTorch中的变种自动编码器（VAE）的集合。
#计算机科学#Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.
翻译 - Sacred是可帮助您配置，组织，记录和重现IDSIA开发的实验的工具。
A DSL for data-driven computational pipelines
#计算机科学#Collection of popular and reproducible image denoising works.
#计算机科学#FMA: A Dataset For Music Analysis
Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)
#计算机科学#Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more
#计算机科学#☁️ 🚀 📊 📈 Evaluating state of the art in AI
Insight Toolkit (ITK) -- Official Repository. ITK builds on a proven, spatially-oriented architecture for processing, segmentation, and registration of scientific images in two, three, or more dimens...
翻译 - 洞察工具包（ITK）-官方资料库
An R-focused pipeline toolkit for reproducibility and high-performance computing
Presentation-Ready Data Summary and Analytic Result Tables
High-fidelity performance metrics for generative models in PyTorch
#计算机科学#This is the repository of our article published in RecSys 2019 "Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches" and of several follow-up studies.
翻译 - 这是我们在RecSys 2019中发表的文章的资料库，``我们真的取得了很大进展吗？对最近的神经推荐方法的担忧分析''
Function-oriented Make-like declarative workflows for R
#计算机科学#Sionna: An Open-Source Library for Next-Generation Physical Layer Research
#计算机科学#PyCIL: A Python Toolbox for Class-Incremental Learning
Scientific reports/literate programming for Julia
#计算机科学#Experiments for understanding disentanglement in VAE latent representations
A research tool for the Iterated Prisoner's Dilemma
GPU-Jupyter: Your GPU-accelerated JupyterLab with a rich data science toolstack, TensorFlow and PyTorch for your reproducible deep learning experiments.