Paper list for equivariant neural network

A PyTorch-based project for predicting 3D wireframes from point cloud data. It uses edge sampling, Hausdorff distance, and the Hungarian algorithm to match predicted edges with ground truth. A comp…

Gain an understanding of the fundamental topics and concepts of computer architecture including the application of these with modern Arm processors

A collection of guides and examples for the Gemma open models from Google.

🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

A framework to enable multimodal models to operate a computer.

Machine Learning and Agentic AI Resources, Practice and Research

A high-fidelity 3D face reconstruction library from monocular RGB image(s)

Flexible Object Reconstruction from Multiple Silhouettes. Cashman & Fitzgibbon, 'What Shape are Dolphins? Building 3D Morphable Models from 2D Images', 2012. Updated 2018, Jason Manley.

An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.

[NeurIPS 2021] Rethinking Space-Time Networks with Improved Memory Coverage for Efficient Video Object Segmentation

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

Python loading/manipulation functions for ShapeNet object dataset.

Generate random poetry using a LSTM neural network

Code for "Learning Unsupervised Hierarchical Part Decomposition of 3D Objects from a Single RGB Image", CVPR 2020

Official Pytorch code for (AAAI 2020) paper "Capsule Routing via Variational Bayes", https://arxiv.org/pdf/1905.11455.pdf

Pytorch implementation of set transformer

Pytorch Implementation of the Stacked Capsule Autoencoders

Google Research

Visualizer for neural network, deep learning and machine learning models

The codebase for the paper "A Tail-Index Analysis of Stochastic Gradient Noise in Deep Neural Networks"

The C++ Core Guidelines are a set of tried-and-true guidelines, rules, and best practices about coding in C++

🐍 Geometric Computer Vision Library for Spatial AI

Ozyegin University Computer Science Department CS321 course lectures

Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale.

Filament is a real-time physically based rendering engine for Android, iOS, Windows, Linux, macOS, and WebGL2

Capsule research with our trivial contribution

Bonnet: An Open-Source Training and Deployment Framework for Semantic Segmentation in Robotics.

Empirical studies on Capsule Network representation and improvements implemented with PyTorch.