Levon Dang's repositories
diverse_sampling
Official project of DiverseSampling (ACMMM2022 Paper)
rat_scut_reimplementation
Reimplementation of Relation-Aware Transformer for Portfolio Policy Learning (RAT) (IJCAI 2020)
scut-thesis-template
Latex template for SCUT Master’s thesis
pymaf_reimplementation
reimplementation of PyMAF (ICCV 2021 Oral)
AStock_dataset
Chinese Stock Price, News and Market Dataset by ECNU
DHMP_jittor
Jittor reimplementation of DiverseSampling (MM22)
Multimodal-Deep-Learning-based-Stock-Price-Prediction
Simple stock price prediction demo forked and modified from ranakroychowdhury
XuanDiaoMianShi
BeiSongMianShi Chinese XuanDiao
awesome-clothed-human
A collection of awesome resources clothed people including human digitalization, virtual try-on, and other related directions.
awesome-cs-books
经典编程书籍大全，涵盖：计算机系统与网络、系统架构、算法与数据结构、前端开发、后端开发、移动开发、数据库、测试、项目与团队、程序员职业修炼、求职面试等
BertWithPretrained
基于PyTorch框架实现的BERT模型及其相关下游微调任务（Bert PyTorch Implementation）
caj2pdf
Convert CAJ (China Academic Journals) files to PDF. 转换**知网 CAJ 格式文献为 PDF。佛系转换，成功与否，皆是玄学。
deep-finance
Datasets, papers and books on AI & Finance.
Deep-Reinforcement-Learning-Algorithms-with-PyTorch
PyTorch implementations of deep reinforcement learning algorithms and environments
easy-rl
强化学习中文教程（蘑菇书🍄），在线阅读地址：https://datawhalechina.github.io/easy-rl/
FinNLP-Progress
NLP progress in Fintech. A repository to track the progress in Natural Language Processing (NLP) related to the domain of Finance, including the datasets, papers, and current state-of-the-art results for the most popular tasks.
fly
上海大学溯源手册（SHUFly）
latex_paper_writing_tips
Tips for Writing a Research Paper using LaTeX
paddle_ocr_small_demo
paddle_ocr 本地安装的小 demo
PaMIR
Implementation of "PaMIR: Parametric Model-Conditioned Implicit Representation for Image-based Human Reconstruction"
recognition_paddle
skeleton based action recognition of figure skater based on paddlepaddle
SCUT_thesis
华南理工大学硕博士学位论文LaTeX模板，始于2020年的最新项目。Latex templates for the thesis of South China University of Technology
stockpredictionai
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.