apester Goto Github PK
Type: User
Company: British University in Egypt
Location: Cairo
Type: User
Company: British University in Egypt
Location: Cairo
Applied Machine Learning @ http://amitkaps.com/ml
Paper Lists for Graph Neural Networks
A comprehensive collection of KAN(Kolmogorov-Arnold Network)-related resources, including libraries, projects, tutorials, papers, and more, for researchers and developers in the Kolmogorov-Arnold Network field.
Boltzmann Machines in TensorFlow with examples
Small dataset for cats and dogs
Codes PDX
Here is a Google Colab Notebook for fine-tuning Alpaca Lora (within 3 hours with a 40GB A100 GPU)
My notes / works on deep learning from Coursera
Sequence Models - Emojify
Programming assignments from all courses in the Coursera Natural Language Processing Specialization offered by deeplearning.ai.
An approach to document exploration using Machine Learning. Let's cluster similar research articles together to make it easier for health professionals to find relevant research articles, and respond to rapidly spreading COVID-19 promptly.
Figure notebooks for "The Data Science Design Manual" (http://www.data-manual.com/)
Simple code tutorial for deep belief network (DBN)
Tensorflow implementation of a Deep Belief Network on MNIST
This repository contains the programming assignments for Deep Learning specialization courses by Andrew Ng. It deals with the following concepts. DNNs, Hyperparameter tuning, Regularization, Optimization, CNNs (LeNet5, AlexNet, VGG, ResNet, Inception Network), Transfer Learning (Neural Style Transfer), RNNs (LSTM, GRU) and Structuring Machine Learning Projects.
Deep Learning Specialization by Andrew Ng, deeplearning.ai.
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
deeplearning.ai , By Andrew Ng, All slide and notebook + data (without solution) and video link
TensorFlow documentation
Community supported EDISON Data Science Framework
Implementation of EfficientNet model. Keras and TensorFlow Keras.
Some code examples
A general-purpose probabilistic programming system with programmable inference
Graph Neural Network Tutorial
Must-read papers on graph neural networks (GNN)
code for paper "Graph Structure of Neural Networks"
TensorFlow: Viterbi, Forward-Backward and Baum Welch with a Hidden Markov Model (HMM)
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.