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athena

A release version for https://github.com/athena-team/athena

awesome-multimodal-research

A curated list of Multimodal Related Research.

awesome-reverse-engineering

Reverse Engineering Resources About All Platforms(Windows/Linux/macOS/Android/iOS/IoT) And Every Aspect! (More than 3500 open source tools and 2300 posts&videos)

blip

PyTorch code for BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation

clip

Contrastive Language-Image Pretraining

clip-featurevis

code for reproducing some of the diagrams in the paper "Multimodal Neurons in Artificial Neural Networks"

clue

中文语言理解测评基准 Chinese Language Understanding Evaluation Benchmark: datasets, baselines, pre-trained models, corpus and leaderboard

coca-pytorch

Implementation of CoCa, Contrastive Captioners are Image-Text Foundation Models, in Pytorch

deeplearningexamples

Deep Learning Examples

ernie

Official implementations for various pre-training models of ERNIE-family, covering topics of Language Understanding & Generation, Multimodal Understanding & Generation, and beyond.

faceswap

Deepfakes Software For All

few-shot-vid2vid

Pytorch implementation for few-shot photorealistic video-to-video translation.

flownet2-pytorch

Pytorch implementation of FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks

fsl-mate

FSL-Mate: A collection of resources for few-shot learning (FSL).

jina

Build cross-modal and multimodal applications on the cloud

mlclf

mini-imagenet and tiny-imagent dataset transformation for traditional classification task and also for the format for few-shot learning / meta-learning tasks

moco

PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722

mocomoco_software

四足机器人 固件集合

multi-label-classification-ms-coco

This study aims at a multi-label classification task of a large scale dataset whose every entry contains an image and a short caption with 40000 of them. Allow me to introduce you to what may be the ultimate solution for NLP and image recognition field, with super simplicity and competitive accuracy --- The contrastive Language-Image Pre-training model, also known as: CLIP

multiyolov5

joint detection and semantic segmentation, based on ultralytics/yolov5,

neuralspeech

nlp_ability

总结梳理自然语言处理工程师(NLP)需要积累的各方面知识，包括面试题，各种基础知识，工程能力等等，提升核心竞争力

paddlemm

Multi-Modal learning toolkit based on PaddlePaddle and PyTorch, supporting multiple applications such as multi-modal classification, cross-modal retrieval and image caption.

paddlers

Awesome Remote Sensing Toolkit based on PaddlePaddle.

pedestrian-attribute-recognition

基于人体解析的行人属性识别

pix2pixhd

Synthesizing and manipulating 2048x1024 images with conditional GANs

research

novel deep learning research works with PaddlePaddle

sexyyolo

An implementation of Yolov3 with Tensorflow1.x, which could detect COCO and sexy or porn person simultaneously.

slip

Code release for SLIP Self-supervision meets Language-Image Pre-training