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TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
Learn how to design, develop, deploy and iterate on production-grade ML applications.
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Python programs, usually short, of considerable difficulty, to perfect particular skills.
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
The fastai book, published as Jupyter Notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
This repository contains implementations and illustrative code to accompany DeepMind publications
Companion webpage to the book "Mathematics For Machine Learning"
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
Best Practices, code samples, and documentation for Computer Vision.
this repository accompanies the book "Grokking Deep Learning"
Understanding Deep Learning - Simon J.D. Prince
Evaluate and monitor ML models from validation to production. Join our Discord: https://discord.com/invite/xZjKRaNp8b
Collection of useful data science topics along with articles, videos, and code
A crash course in six episodes for software developers who want to become machine learning practitioners.
Feature selector is a tool for dimensionality reduction of machine learning datasets
Beyond Accuracy: Behavioral Testing of NLP models with CheckList
Deep Learning Zero to All - Pytorch
Real Time Big Data / IoT Machine Learning (Model Training and Inference) with HiveMQ (MQTT), TensorFlow IO and Apache Kafka - no additional data store like S3, HDFS or Spark required
A tiny Catalyst-like experiment runner framework on top of micrograd.
Build Change - Intelligent Supervision Assistant for Construction - Sistema Inteligente de Monitoreo de Obra. This project is an offshoot of PD3R, runner-up in the CFC 2018 Global Challenge.