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Advanced Deep Learning with Keras, published by Packt
Finetuning InstructLLaMA on consumer hardware
Julia framework for energy system models with a focus on multi-period capacity expansion
Code related to my articles.
implementing "recurrent attentive neural processes" to forecast power usage (w. LSTM baseline, MCDropout)
Container used to run code for Google Colaboratory
Sample project modeling battery storage and dispatch
Chatbot for PDF
The ChatGPT Retrieval Plugin lets you easily search and find personal or work documents by asking questions in everyday language.
Conditional RNNs made easy with Tensorflow and Keras.
Detect whether a person is wearing a mask or not
Interactive tools and developer experiences for Big Data on Google Cloud Platform.
Curated list of Python resources for data science.
Demo app exploring the US power grid & renewable plants - Built with Dash, Dask, Datashader & Coiled
Wind Speed Prediction using LSTMs in PyTorch (https://arxiv.org/pdf/1707.08110.pdf)
List of papers, code and experiments using deep learning for time series forecasting
code for "Forecasting the Evolution of Hydropower Generation"
A collection of various deep learning architectures, models, and tips
:chart_with_upwards_trend: Keras implementation of the Deep Temporal Clustering (DTC) model
DocumentGPT is a web application that allows you to chat over your research document using OpenAI's chat API and perform semantic search using vector databases. This tool provides a seamless interface for interacting with your research document, exploring search results, and engaging in a conversation with an AI chatbot.
Implementation of Deep Temporal Clustering.
Accompanying code for our HESS paper "Towards learning universal, regional, and local hydrological behaviors via machine learning applied to large-sample datasets"
Emotion detection in audio utilising self-supervised representations trained with Contrastive Predictive Coding (CPC).
Optimizing energy systems using mixed integer linear programming
Simple gas consumption predictor with tensorflow
Handwritten digit recognition using neural network trained on 60000 images from MNIST dataset
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.