jokieleung

awesome-visual-question-answering

A curated list of Visual Question Answering(VQA)(Image/Video Question Answering),Visual Question Generation ,Visual Dialog ,Visual Commonsense Reasoning and related area.

NTRD

the Pytorch implementation for our EMNLP 2021 paper "Learning Neural Templates for Recommender Dialogue System"

Maria

PyTorch implementation for ACL 2021 paper "Maria: A Visual Experience Powered Conversational Agent".

CL-VQA

the implementation of EMNLP 2020 "Learning to Contrast the Counterfactual Samples for Robust Visual Question Answering"

TransPCC

the Pytorch implementation for our ICMR 2022 paper "TransPCC: Towards Deep Point Cloud Compression via Transformers"

DistanceDetect

物体远近测距-相似三角形原理-使用静态图片输入

LPF-VQA

the code for SIGIR 2021 "LPF: A Language-Prior Feedback Objective Function for De-biased Visual Question Answering"

stm32_Washer_Pro

2018节能减排比赛-IOT新型超声真空微波洗烘一体机全机驱动

LMS-Based-Noise-Reduction

lms algorithm

Lottery_Prompt

the implementation of ACL 2023 "Prompts Can Play Lottery Tickets Well: Achieving Lifelong Information Extraction via Lottery Prompt Tuning"

self_critical_vqa

Code for NeurIPS 2019 paper ``Self-Critical Reasoning for Robust Visual Question Answering''

BalancedCarStm32

A Balanced Car Programmed on stm32 As MCU

Lora_Fireplug_Iot

Lora Fireplug Iot For Yisida Match

jokieleung.github.io

My homepage: https://jokieleung.github.io

negative_analysis_of_grounding

A negative case analysis of visual grounding methods for VQA (ACL 2020 short paper)

Real-TimeFaceRecognition

a Real-TimeFaceRecognition(1:N) Demo Fine-tuning By FaceNet

rubi.bootstrap.pytorch

RUBi : Reducing Unimodal Biases for Visual Question Answering

SSL-VQA

Code for our IJCAI2020 paper: Overcoming Language Priors with Self-supervised Learning for Visual Question Answering

tensorcom

Tensorflow-Tutorial

Tensorflow tutorial from basic to hard

tf_trt_models

TensorFlow models accelerated with NVIDIA TensorRT

Awesome-Deep-Learning-Papers-for-Search-Recommendation-Advertising

Awesome Deep Learning papers for industrial Search, Recommendation and Advertising. They focus on Embedding, Matching, Ranking (CTR and CVR prediction), Post Ranking, Multi-task Learning, Graph Neural Networks, Transfer Learning, Reinforcement Learning, Self-supervised Learning and so on.

collages-dataset

CSS-VQA

Counterfactual Samples Synthesizing for Robust VQA

JARVIS

JARVIS, a system to connect LLMs with ML community. Paper: https://arxiv.org/pdf/2303.17580.pdf

jokieleung

LPT

This repo contains the code for Late Prompt Tuning.

Prompt-Engineering-Guide

:octopus: Guides, papers, lecture, and resources for prompt engineering

TaxoExpan

The source code used for self-supervised taxonomy expansion method TaxoExpan, published in WWW 2020