Popular GitHub Repositories for Canonical Representations

notes for software engineers getting up to speed on new AI developments. Serves as datastore for https://latent.space writing, and product brainstorming, but has cleaned up canonical references under the /Resources folder.

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 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

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

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).

Experiments for understanding disentanglement in VAE latent representations

A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.

Code for ICLR 2020 paper "VL-BERT: Pre-training of Generic Visual-Linguistic Representations".

A Lite Bert For Self-Supervised Learning Language Representations

(CVPR 2023) Pytorch implementation of “T2M-GPT: Generating Human Motion from Textual Descriptions with Discrete Representations”

Unsupervised Speech Decomposition Via Triple Information Bottleneck

DNABERT: pre-trained Bidirectional Encoder Representations from Transformers model for DNA-language in genome

[ACL 2021] Learning Dense Representations of Phrases at Scale; EMNLP'2021: Phrase Retrieval Learns Passage Retrieval, Too https://arxiv.org/abs/2012.12624