Chinese version of CLIP which achieves Chinese cross-modal retrieval and representation generation.
- chinese
- computer-vision
- multi-modal-learning
- nlp
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Chinese version of CLIP which achieves Chinese cross-modal retrieval and representation generation.
Official implementation of "Neuralangelo: High-Fidelity Neural Surface Reconstruction" (CVPR 2023)
The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"
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
Official tensorflow implementation for CVPR2020 paper “Learning to Cartoonize Using White-box Cartoon Representations”
A LITE BERT FOR SELF-SUPERVISED LEARNING OF LANGUAGE REPRESENTATIONS, 海量中文预训练ALBERT模型
[ICML 2024] Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model
Representation learning on large graphs using stochastic graph convolutions.
【EMNLP 2024🔥】Video-LLaVA: Learning United Visual Representation by Alignment Before Projection
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.
Text preprocessing, representation and visualization from zero to hero.
Python tools for 3D face: 3DMM, Mesh processing(transform, camera, light, render), 3D face representations.
EVA Series: Visual Representation Fantasies from BAAI
Self-Supervised Speech Pre-training and Representation Learning Toolkit
PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations
[ICLR 2020] Contrastive Representation Distillation (CRD), and benchmark of recent knowledge distillation methods
A deep matching model library for recommendations & advertising. It's easy to train models and to export representation vectors which can be used for ANN search.
Large Concept Models: Language modeling in a sentence representation space
The implementation of DeBERTa
Bioinformatics'2020: BioBERT: a pre-trained biomedical language representation model for biomedical text mining
A Unified Framework for Surface Reconstruction
Official PyTorch Implementation of "Diffusion Transformers with Representation Autoencoders"
A deep learning package for many-body potential energy representation and molecular dynamics
Cambrian-1 is a family of multimodal LLMs with a vision-centric design.