Stars
This project aims to enhance the working environment on Windows
Unofficial plugin that adds a tabbar to Typora
The correct way to resize images or tensors. For Numpy or Pytorch (differentiable).
The swiss army knife of lossless video/audio editing
Neural network visualization toolkit for tf.keras
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filte…
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
PyTorch implementation of "Filter Response Normalization Layer: Eliminating Batch Dependence in the Training of Deep Neural Networks"
Unofficial PyTorch Implementation of EvoNorm
Notebooks and various random fun
DeeplyTough: Learning Structural Comparison of Protein Binding Sites
Main repository of the zim desktop wiki project
Pytorch Implementation for the project : `3D-CODED` and `Learning Elementary Structure`
Python library for loading and using triangular meshes.
Drag’n’drop Pivot Tables and Charts for Jupyter/IPython Notebook, care of PivotTable.js
Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs
Fix for macOS's unnecessary scroll wheel acceleration
This repository contains the source codes for the paper "AtlasNet: A Papier-Mâché Approach to Learning 3D Surface Generation ". The network is able to synthesize a mesh (point cloud + connectivity)…
Code in PyTorch for the convex combination linear IAF and the Householder Flow, J.M. Tomczak & M. Welling
A pytorch implementation of Paper "Improved Training of Wasserstein GANs"
(OLD REPO) Line-by-line profiling for Python - Current repo ->
OptNet - Reducing memory usage in torch neural nets