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An opinionated list of Python frameworks, libraries, tools, and resources.
Tensors and Dynamic neural networks in Python with strong GPU acceleration
A collection of design patterns/idioms in Python
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
Minimal examples of data structures and algorithms in Python
Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
Web interface for browsing, search and filtering recent arxiv submissions
StarGAN v2 - Official PyTorch Implementation (CVPR 2020)
Jittor is a high-performance deep learning framework based on JIT compiling and meta-operators.
Diamond is a python daemon that collects system metrics and publishes them to Graphite (and others). It is capable of collecting cpu, memory, network, i/o, load and disk metrics. Additionally, it f…
Renders papers from arXiv as responsive web pages so you don't have to squint at a PDF.
Toolbox to integrate optimal transport loss functions using automatic differentiation and Sinkhorn's algorithm
Online variational Bayes for latent Dirichlet allocation (LDA)
Code for the paper "VAE with a VampPrior", J.M. Tomczak & M. Welling
A Human Indoor Behavior Exclusive RF dataset
Official implementation of NLOS-OT: Passive Non-Line-of-Sight Imaging Using Optimal Transport (IEEE TIP, accepted)