dntai

dntai's Stars

• MorvanZhou/PyTorch-Tutorial

  Build your neural network easy and fast, 莫烦Python中文教学

  Language:Jupyter Notebook8.2k214713.1k

• hymie122/RAG-Survey

  Collecting awesome papers of RAG for AIGC. We propose a taxonomy of RAG foundations, enhancements, and applications in paper "Retrieval-Augmented Generation for AI-Generated Content: A Survey".

  1.3k30490

• dotnet-architecture/eShopModernizing

  Modernizing existing .NET Framework, hypothetically legacy backoffice eShop web apps (traditional ASP.NET WebForms and MVC) with Windows Containers and Azure Cloud

  Language:JavaScript92210928569

• madslundt/NetCoreMicroservicesSample

  Sample using micro services in .NET Core 3.1 Focusing on clean code

  Language:C#6994613171

• TrustAGI-Lab/graph_datasets

  A Repository of Benchmark Graph Datasets for Graph Classification (31 Graph Datasets In Total).

  2869474

• simoncos/zhihu-analysis-python

  Social Network Analysis of Zhihu with Python

  Language:Python257245144

• gunyarakun/python-shogi

  A pure Python shogi library with move generation and validation and handling of common formats.

  Language:Python183123143

• madslundt/NetCoreMediatrSample

  A project that exemplifies a well-considered architectural approach that combines the advantages of both monolithic and microservices paradigms, fostering modularity, maintainability, and scalability.

  Language:C#14110033

• Yagami360/machine-learning-papers-survey

  機械学習関連の論文Survey用レポジトリ

  136121136

• JackJacquier/python-for-finance

  Python for Finance module for Imperial MSc in Mathematics and Finance

  Language:Jupyter Notebook929057

• chaitjo/markowitz-portfolio-optimization

  Markowitz portfolio optimization on synthetic and real stocks

  Language:Python767224

• PaiViji/PythonFinance-PortfolioOptimization

  Python for Portfolio Optimization: The Ascent! First working lessons to ascend the hilly terrain of Portfolio Optimization in seven strides (Lessons), beginning with the fundamentals (Lesson 1) and climbing slope after slope (Lessons 2-6), to reach the first peak of constrained portfolio optimization models (Lesson 7), amongst a range of peaks waiting beyond!

  Language:Jupyter Notebook743038

• rafaelpierre/moviegpt

  MovieGPT: A RAG, Gen AI application for Movie Recommendations

  Language:Jupyter Notebook25201

• ksatola/Data-Science-Notes

  Various resources on advanced analytics and beyond

  Language:Python223026

• umeshpalai/DailyReturn-LogReturn-CumulativeReturn-in-Python

  How to Calculate Daily Return, Log Return & Cumulative Return in Python

  Language:Jupyter Notebook12115

• robertball/Beginners-Guide-Data-Science

  Code and data files for "The Beginner's Guide to Data Science" by Robert Ball and Brian Rague

  91010

• madslundt/DotNetBaseSample

  Template to get started with a simple .NET 5 API including CQRS including event based models as well

  Language:C#7202

• doctor-phil/analyzing-economic-networks

  Tutorial introduction to economic network analysis and graph clustering in python with networkx

  Language:Jupyter Notebook6203

• hhaji/Reinforcement-Learning

  4200

• ScottMorgan85/ml-market-efficiency

  A Python-based machine learning study leveraging the Bloomberg API to empirically test various forms of the Efficient Market Hypothesis using technical indicators across multiple asset classes.

  Language:Jupyter Notebook4200

• TungPhamDuy/technical-analysis-with-python

  The Python project written on Jupyter includes technical analysis using various indicators, developing trading strategies based on the indicators, visualizing the outcomes, and testing the strategies. The indicators applied in the project are Simple Moving Average 200, Bollinger Bands, and RSI - Relative Strength Index.

  Language:Jupyter Notebook4103

• johntwk/Applied-Social-Network-Analysis-in-Python

  Introduction to Network Analysis

  Language:Jupyter Notebook2200

• mdarikrayhan/Data-Mining-and-Data-Ware-housing-Sessional

  CSE-4250: Data Mining and Data Ware-housing Sessional

  Language:Jupyter Notebook2100

• BessieChen/Python-and-Spark-for-Big-Data

  This course covers the latest Spark Technologies, like Spark SQL, Spark Streaming, and advanced models like Gradient Boosted Trees.

  Language:Jupyter Notebook110

• GaffariCelik/iSeg-WNet

  iSeg-WNet: Volumetric Segmentation of Infant Brain MRI Images

  Language:Jupyter Notebook1100

• mdarikrayhan/Computer-Graphics-Sessional

  CSE-4206: Computer Graphics Sessional

  Language:C++10

• ohashioji/EfficientMarketTestML

  Machine Learning model and academic paper exploring the validity of the Efficient Market Hypothesis

  Language:Jupyter Notebook1000

• RusselLuo/GitCommand

  1101

• tayduivn/fintechvn

  Toàn bộ hệ thống công nghệ tài chính

  Language:JavaScript1000

• ViniY/PyTorch-Tutorial

  Build your neural network easy and fast

  Language:Jupyter Notebook1100