seyidoxa Goto Github PK
Name: Olúwásèyí
Type: User
Name: Olúwásèyí
Type: User
Automated deep learning algorithms implemented in PyTorch.
A curated list of awesome deep learning techniques for deep neural networks training, testing, optimization, regularization etc.
Here is a tutorial on how to implement a research Paper with Keras
COVID-Net Open Source Initiative
This tutorial playlist covers data structures and algorithms in python. Every tutorial has theory behind data structure or an algorithm, BIG O Complexity analysis and exercises that you can practice on.
This Repository contains the list of various Machine and Deep Learning related projects. Related code and data files are available inside this folder. One can go through these projects to implement them in real life for specific use cases.
Ref: S. Mosleh, L. Liu, C. Sahin, Y. R. Zheng and Y. Yi, "Brain-Inspired Wireless Communications: Where Reservoir Computing Meets MIMO-OFDM," in IEEE Transactions on Neural Networks and Learning Systems.
Curated list of free courses & certifications
GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.
To perfect the use of git and github.
An implementation of HTR using TensorFlow 2.0
Quantum Challenge problem sets
Grading client for the IBM Quantum Challenge 2020
Residual networks implementation using Keras-1.0 functional API
Python Packages as AWS Lambda Layers
LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data
A collection of machine learning examples and tutorials.
TensorFlow Neural Machine Translation Tutorial
Physics-guided Neural Networks (PGNN) : An Application In Lake Temperature Modelling
Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations
Repository to store sample python programs for python learning
Basic Cheat Sheet for Python (PDF, Markdown and Jupyter Notebook)
A simple and flexible code for Reservoir Computing architectures like Echo State Networks
Software developer resume in Latex
Tensorflow Implementation of Recurrent Neural Network (Vanilla, LSTM, GRU) for Text Classification
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.