Hao Wang's repositories
HannibalWangLecter.github.io
Personal Pages
nlpcda_argument
nlpcda for NLP data argument
Homework.postgraduate
Beijing Normal University.Computer Applied Technology.Postgradute Courses.Homework
ConceptBERT
Implementation of ConceptBert: Concept-Aware Representation for Visual Question Answering
BriVL
Bridging Vision and Language Model
CRM_QualityInspection_Violation_BERT
CRM_QualityInspection_Violation_BERT
CogView
Text-to-Image generation
DVS-gestureRecognition
使用DVS_MP获取脉冲信号，输入SNN中，获得手势。
ERNIE
Official implementations for various pre-training models of ERNIE-family, covering topics of Language Understanding & Generation, Multimodal Understanding & Generation, and beyond.
few-shot-learning
Few-shot Learning of GPT-3
HannibalWangLecter
Homepage of Github
interview_python
关于Python的面试题
LaTeX-templates
Graduate School LaTeX templates for Lab rotation proposal + report, OIST beamer and Thesis + thesis proposal
leetcode-master
《代码随想录》LeetCode 刷题攻略：200道经典题目刷题顺序，共60w字的详细图解，视频难点剖析，50余张思维导图，支持C++，Java，Python，Go，JavaScript等多语言版本，从此算法学习不再迷茫！🔥🔥 来看看，你会发现相见恨晚！🚀
MICCAI21_MMQ
Multiple Meta-model Quantifying for Medical Visual Question Answering
mmf
A modular framework for vision & language multimodal research from Facebook AI Research (FAIR)
notebooks
Notebooks using the Hugging Face libraries 🤗
OFA
Official repository of OFA. Paper: Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework
one-api
OpenAI 接口管理 & 分发系统，支持 Azure、Anthropic Claude、Google PaLM 2 & Gemini、智谱 ChatGLM、百度文心一言、讯飞星火认知、阿里通义千问、360 智脑以及腾讯混元，可用于二次分发管理 key，仅单可执行文件，已打包好 Docker 镜像，一键部署，开箱即用. OpenAI key management & redistribution system, using a single API for all LLMs, and features an English UI.
Oscar
Oscar and VinVL
PICa
An Empirical Study of GPT-3 for Few-Shot Knowledge-Based VQA, AAAI 2022 (Oral)
spikingjelly
SpikingJelly is an open-source deep learning framework for Spiking Neural Network (SNN) based on PyTorch.
vilio
🥶Vilio: State-of-the-art VL models in PyTorch & PaddlePaddle
VQA_Demo
Visual Question Answering Demo on pretrained model
VQA_ReGAT
Research Code for ICCV 2019 paper "Relation-aware Graph Attention Network for Visual Question Answering"