Stars
A list of Open Source conferences or events to look out for.
Conductor is a microservices orchestration engine.
The open-source notification Inbox infrastructure. E-mail, SMS, Push and Slack Integrations.
Andela Developers Challenge Kigali Cycle 10
Python assignments for the machine learning class by andrew ng on coursera with complete submission for grading capability and re-written instructions.
🕶 An awesome list of resources for campus experts! 🕶
A food delivery service app for a restaurant
Visual Studio Code extension for Prettier
For the demo. Click on the link.
This repository hosts the tutorial for Project T, an initiative by the students of Secure and Private AI scholarship challenge.
Explanatory notes on Cynthia Dwork's text on privacy originally created for Facebook's SPAI scholarship challenge
📊 Path to a free self-taught education in Data Science!
Udaquest : An Initiative to learn together
Notes on the Deep Learning book from Ian Goodfellow, Yoshua Bengio and Aaron Courville (2016)
This is the Curriculum for "How to Learn Mathematics Fast" By Siraj Raval on Youtube
Machine learning to better predict and understand drought. Moving github.com/ml-clim
My personal notes for Facebook's Secure and Private AI Scholarship Course 2019 on Udacity
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
Repo for Udacity's Secure & Private AI course
Deep neural Networks implemented using Pytorch
Artificial Intelligence and Machine Learning python scripts for the Secure and Private AI Facebook Scholarship Challenge
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials,…
common data analysis and machine learning tasks using python
munniomer / practicalAI
Forked from GokuMohandas/Made-With-ML📚 A practical approach to learning and using machine learning.
Machine Learning notebooks for refreshing concepts.
machine learning and deep learning tutorials, articles and other resources
Learn how to design, develop, deploy and iterate on production-grade ML applications.
Machine Learning notebooks for refreshing concepts.