kalzbra Goto Github PK
Name: Abraham Kaligambe
Type: User
Company: Rutilea
Location: Kyoto
Name: Abraham Kaligambe
Type: User
Company: Rutilea
Location: Kyoto
One week ahead energy consumption hourly forecast. In this note book, i delved deep into short term load forecast.
LSTM Model for Electric Load Forecasting
Code of the IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018 [read-only repository]
We are building an open database of COVID-19 cases with chest X-ray or CT images.
A dataset of functional and defective solar cells extracted from EL images of solar modules
TensorFlow examples
Faster Whisper transcription with CTranslate2
This project presents the concept of fault detection and location in a Power Microgrid making use of the machine learning concepts like Artificial Neural Network. The electronic equipment used in microgrids is in essential need of more secure protection against short circuit faults. Due to the high current at the time of fault occurrence, the whole system might be de-energized which would have a severely negative impact on the entire system. A fault occurs when two or more conductors come in contact with each other or ground. Ground faults are considered as one of the main problems in power systems and account for more than 80% of all faults. An effective method to detect, isolate, and protect the power microgrid system against the effects of short circuit faults is extremely important. In this project we worked on a highly effective new method to protect the microgrid system using an Artificial Neural Network (ANN) that will detect and find the location of the fault before it affects other parts of the system. It would, therefore, be more dependable for microgrid protection. This protection network is distributed all along the power microgrid system protecting the entire microgrid network and is connected to the other protective devices in the system. This project focuses on detecting faults and identifying the location of the faults on electric power transmission lines in the power microgrid network.
A toolkit for developing and comparing reinforcement learning algorithms.
An easy to use wrapper (OpenCV) for hand recognition
This is the code for the "How to Deploy a Keras Model to Production" by Siraj Raval on Youtube
llama3 implementation one matrix multiplication at a time
[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.
Python app for LM Studio-enhanced voice conversations with local LLMs. Uses Whisper for speech-to-text and offers a privacy-focused, accessible interface.
Building and Embedding Machine Learning Model into a Web App(With Flask,Streamlit,etc)
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
The simplest, fastest repository for training/finetuning medium-sized GPTs.
Examples of nlp. Files from github.com/adashofdata/nlp-in-python-tutorial
Open Source Computer Vision Library
facedetection
OpenModelica Microgrid Gym (OMG): An OpenAI Gym Environment for Microgrids
Instant voice cloning by MyShell.
A visualization of our solar system using vpython
Jupyter notebook and datasets from the pandas Q&A video series
A better way to make GUIs for your python apps
Python Flask feedback app with database and email
It consists of beginner python crash course and introduction to important libraries such as numpy, Pandas, Matplotlib and Seaborn
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.