Stars
Curated list of project-based tutorials
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The Python micro framework for building web applications.
A framework for building native applications using React
21 Lessons, Get Started Building with Generative AI
A modular graph-based Retrieval-Augmented Generation (RAG) system
Arkime is an open source, large scale, full packet capturing, indexing, and database system.
Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running mat…
Deeplearning4j Examples (DL4J, DL4J Spark, DataVec)
Interactive Web Plotting with Bokeh in IPython notebook
Interactive Data Visualization in the browser, from Python
Play couplet with seq2seq model. 用深度学习对对联。
Dynamic seq2seq in TensorFlow, step by step
Comparative Analysis of Conv1D-LSTM with CNN , LSTM for Stock Price Prediction
ypwhs / deeplearning-models
Forked from rasbt/deeplearning-models各种深度学习结构、模型和技巧的集合
A collection of various deep learning architectures, models, and tips
Stock price prediction using LSTM and 1D Convoltional Layer implemented in keras with TF backend on daily closing price of S&P 500 data from Jan 2000 to Aug 2016
LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
Code samples for my book "Neural Networks and Deep Learning"
Recurrent Neural Network - A curated list of resources dedicated to RNN
Your ultimate Go microservices framework for the cloud-native era.
Linux命令大全搜索工具，内容包含Linux命令手册、详解、学习、搜集。https://git.io/linux
All Algorithms implemented in Python
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 Advers…
Feature exploration for supervised learning