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alce

[EMNLP 2023] Enabling Large Language Models to Generate Text with Citations. Paper: https://arxiv.org/abs/2305.14627

aoanet

Code for paper "Attention on Attention for Image Captioning". ICCV 2019

aoanet-for-remote-sening-image-caption

An impletion of AoANet for Remote Sensing Image Caption

awesome-captioning

A curated list of Multimodal Captioning related research(including image captioning, video captioning, and text captioning)

awesome-image-captioning

image captioning paper list

awesome-llm-uncertainty-reliability-robustness

Awesome-LLM-Robustness: a curated list of Uncertainty, Reliability and Robustness in Large Language Models

awesome-multimodal-ml

Reading list for research topics in multimodal machine learning

awesome-trustworthy-deep-learning

A curated list of trustworthy deep learning papers. Daily updating...

awesome-uncertainty-deeplearning

This repository contains a collection of surveys, datasets, papers, and codes, for predictive uncertainty estimation in deep learning models.

bayesian-neural-networks

Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more

butd_model

A pytorch implementation of "Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering" for image captioning.

capdec

CapDec: SOTA Zero Shot Image Captioning Using CLIP and GPT2, EMNLP 2022 (findings)

clip

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

clip-vil

[ICLR 2022] code for "How Much Can CLIP Benefit Vision-and-Language Tasks?" https://arxiv.org/abs/2107.06383

clip_prefix_caption

Simple image captioning model

clipcap-chinese

基于ClipCap的看图说话Image Caption模型

coco-caption

controllable_region_pointer_advancement

PyTorch implementation of a Controllable Image Captioning model with a language-driven mechanism for advancing the region pointer state that keeps it in sync with the state of the language model.

d3

The implementation for ACL 2022 paper

deep-learning-with-pytorch-tutorials

深度学习与PyTorch入门实战视频教程 配套源代码和PPT

demo

demo

denoising-diffusion-pytorch

Implementation of Denoising Diffusion Probabilistic Model in Pytorch

difnet

dpr

Dense Passage Retriever - is a set of tools and models for open domain Q&A task.

drl

Deep Reinforcement Learning

emnlp-2023-papers

EMNLP 2023 Papers: Explore cutting-edge research from EMNLP 2023, the premier conference for advancing empirical methods in natural language processing. Stay updated on the latest in machine learning, deep learning, and natural language processing with code included. :star: support NLP!

er-san

Implementation of our IJCAI2022 oral paper, ER-SAN: Enhanced-Adaptive Relation Self-Attention Network for Image Captioning.

faster-rcnn.pytorch

A faster pytorch implementation of faster r-cnn

graph-rcnn.pytorch

Pytorch code for our ECCV 2018 paper "Graph R-CNN for Scene Graph Generation" and other papers

hands-on-machine-learning-2edition

A jupyter notebook based on Scikit-Learn and TensorFlow 2.0 with Chinese comment that takes you through the basics of machine learning and deep learning in python with ease.