Pinned Repositories
Book1_Python-For-Beginners
Book_1_《编程不难》 | 鸢尾花书:从加减乘除到机器学习;请多多批评指正!
Book2_Beauty-of-Data-Visualization
Book_2_《可视之美》 | 鸢尾花书:从加减乘除到机器学习,欢迎批评指正
Book3_Elements-of-Mathematics
Book_3_《数学要素》 | 鸢尾花书:从加减乘除到机器学习;上架;欢迎继续纠错,纠错多的同学还会有赠书!
Book4_Power-of-Matrix
Book_4_《矩阵力量》 | 鸢尾花书:从加减乘除到机器学习;上架!
Book5_Essentials-of-Probability-and-Statistics
Book_5_《统计至简》 | 鸢尾花书:从加减乘除到机器学习;上架!
Book6_First-Course-in-Data-Science
Book_6_《数据有道》 | 鸢尾花书:从加减乘除到机器学习;欢迎大家批评指正!纠错多的同学会得到赠书感谢!
Book7_Visualizations-for-Machine-Learning
Book_7_《机器学习》 | 鸢尾花书:从加减乘除到机器学习;欢迎批评指正
ChatGLM-6B
ChatGLM-6B:开源双语对话语言模型 | An Open Bilingual Dialogue Language Model
GCH
Graph Convolutional Network Hashing for Cross-Modal Retrieval, IJCAI2019
FBDQA-2021S
Financial Big Data and Quantitative Analytics, Spring 2021.
rayaldeng's Repositories
rayaldeng/GCH
Graph Convolutional Network Hashing for Cross-Modal Retrieval, IJCAI2019
rayaldeng/Book1_Python-For-Beginners
Book_1_《编程不难》 | 鸢尾花书:从加减乘除到机器学习;请多多批评指正!
rayaldeng/Book2_Beauty-of-Data-Visualization
Book_2_《可视之美》 | 鸢尾花书:从加减乘除到机器学习,欢迎批评指正
rayaldeng/Book3_Elements-of-Mathematics
Book_3_《数学要素》 | 鸢尾花书:从加减乘除到机器学习;上架;欢迎继续纠错,纠错多的同学还会有赠书!
rayaldeng/Book4_Power-of-Matrix
Book_4_《矩阵力量》 | 鸢尾花书:从加减乘除到机器学习;上架!
rayaldeng/Book5_Essentials-of-Probability-and-Statistics
Book_5_《统计至简》 | 鸢尾花书:从加减乘除到机器学习;上架!
rayaldeng/Book6_First-Course-in-Data-Science
Book_6_《数据有道》 | 鸢尾花书:从加减乘除到机器学习;欢迎大家批评指正!纠错多的同学会得到赠书感谢!
rayaldeng/Book7_Visualizations-for-Machine-Learning
Book_7_《机器学习》 | 鸢尾花书:从加减乘除到机器学习;欢迎批评指正
rayaldeng/ChatGLM-6B
ChatGLM-6B:开源双语对话语言模型 | An Open Bilingual Dialogue Language Model
rayaldeng/ChatGPT-Feishu
给飞书准备的 ChatGPT 机器人
rayaldeng/ChinaTextbook
人教版小学到大学数学
rayaldeng/dash-no-license
Check out Dash, the Documentation Browser for 200+ APIs https://kapeli.com/dash
rayaldeng/DeepLOB-Deep-Convolutional-Neural-Networks-for-Limit-Order-Books
This jupyter notebook is used to demonstrate our recent work, "DeepLOB: Deep Convolutional Neural Networks for Limit Order Books", published in IEEE Transactions on Singal Processing. We use FI-2010 dataset and present how model architecture is constructed here. The FI-2010 is publicly avilable and interested readers can check out their paper.
rayaldeng/DGCPN
Deep Graph-neighbor Coherence Preserving Network for Unsupervised Cross-modal Hashing
rayaldeng/docker
Synology nas docker
rayaldeng/eBooks
eBook分享大集合:主要以IT领域经典书籍收藏,以备不时之需。
rayaldeng/ElegantPaper
Elegant LaTeX Template for Working Papers
rayaldeng/faceswap
Deepfakes Software For All
rayaldeng/feishu-chatbot
:point_right: 部署飞书机器人,和ChatGPT等流行的大模型聊天
rayaldeng/Feishu-OpenAI-Stream-Chatbot
🥖可以流式输出文本的飞书openai机器人
rayaldeng/FRM
FRM七本书配套代码
rayaldeng/LOB
Benchmark Dataset of Limit Order Book in China Markets
rayaldeng/machine-learning-notes
This is the notes of the way of machine learning study. You may find something useful in it.
rayaldeng/Multi-Horizon-Forecasting-for-Limit-Order-Books
rayaldeng/py4fi2nd
Jupyter Notebooks and code for Python for Finance (2nd ed., O'Reilly) by Yves Hilpisch.
rayaldeng/python-machine-learning-book-3rd-edition
The "Python Machine Learning (3rd edition)" book code repository
rayaldeng/QuantResearch
Quantitative analysis, strategies and backtests
rayaldeng/rd_ib
rayaldeng/SimCLR
PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations by T. Chen et al.
rayaldeng/TradeMaster
TradeMaster is an open-source platform for quantitative trading empowered by reinforcement learning :fire: :zap: :rainbow: