Popular GitHub Repositories for Implicit Representations

Simple command line tool for text to image generation using OpenAI's CLIP and Siren (Implicit neural representation network). Technique was originally created by https://twitter.com/advadnoun

A LITE BERT FOR SELF-SUPERVISED LEARNING OF LANGUAGE REPRESENTATIONS, 海量中文预训练ALBERT模型

An Open-Source Python3 tool with SMALL models for recognizing layouts, tables, math formulas (LaTeX), and text in images, converting them into Markdown format. A free alternative to Mathpix, empowering seamless conversion of visual content into text-based representations. 80+ languages are supported.

PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations

Resources of Neural Rendering

A curated list of pretrained sentence and word embedding models

A library for differentiable nonlinear optimization

This repository contains the code for the paper "PIFu: Pixel-Aligned Implicit Function for High-Resolution Clothed Human Digitization"

[CVPR'22] ICON: Implicit Clothed humans Obtained from Normals

A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods

A comprehensive list of Implicit Representations and NeRF papers relating to Robotics/RL domain, including papers, codes, and related websites

[CVPR'22] NICE-SLAM: Neural Implicit Scalable Encoding for SLAM

Learning Continuous Image Representation with Local Implicit Image Function, in CVPR 2021 (Oral)

This repository contains the code for the CVPR 2021 paper "GIRAFFE: Representing Scenes as Compositional Generative Neural Feature Fields"

Multilingual word vectors in 78 languages

Point-NeRF: Point-based Neural Radiance Fields

A curated collection of resources and research related to the geometry of representations in the brain, deep networks, and beyond

A parallel implementation of "graph2vec: Learning Distributed Representations of Graphs" (MLGWorkshop 2017).

Pre-built implicit layer architectures with O(1) backprop, GPUs, and stiff+non-stiff DE solvers, demonstrating scientific machine learning (SciML) and physics-informed machine learning methods

Multi-view 3D reconstruction using neural rendering. Unofficial implementation of UNISURF, VolSDF, NeuS and more.