Best Practices, code samples, and documentation for Computer Vision.
A simple probabilistic programming language.
One has no future if one couldn't teach themself.
Temporary home for fastai v2 while it's being developed
Google AI Research
Course materials for Advanced Binary Deobfuscation by NTT Secure Platform Laboratories
Create delightful python projects using Jupyter Notebooks
Python programs to practice or demonstrate skills.
An end-to-end PyTorch framework for image and video classification
Mish: A Self Regularized Non-Monotonic Neural Activation Function
Datasets, Transforms and Models specific to Computer Vision
links to conference publications in graph-based deep learning
YOLOv3 in PyTorch > ONNX > CoreML > iOS
A Deep Learning based project for colorizing and restoring old images (and video!)
Python sample codes for robotics algorithms.
Open Source Fast Scalable Machine Learning Platform For Smarter Applications: Deep Learning, Gradient Boosting & XGBoost, Random Forest, Generalized Linear Modeling (Logistic Regression, Elastic Net), K-Means, PCA, Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
Course Files for Complete Python 3 Bootcamp Course on Udemy
The "Python Machine Learning (3rd edition)" book code repository
Data augmentation for NLP
📚 A practical approach to machine learning.
A game theoretic approach to explain the output of any machine learning model.
A Code-First Introduction to NLP course
Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
Kepler.gl is a powerful open source geospatial analysis tool for large-scale data sets.
Probabilistic reasoning and statistical analysis in TensorFlow
A course in reinforcement learning in the wild
This repository contains small projects related to Neural Networks and Deep Learning in general. Subject are closely linekd with articles I publish on Medium. I encourage you both to read as well as to check how the code works in the action.
Notes On Using Data Science & Artificial Intelligence To Fight For Something That Matters.
Reference models and tools for Cloud TPUs.
Datasets, tools, and benchmarks for representation learning of code.
Productivity Tools for Plotly + Pandas
3D U-Net model for volumetric semantic segmentation written in pytorch
Python notebooks with ML and deep learning examples with Azure Machine Learning | Microsoft
Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch
Tutorials on sap.com
Tutorials and programming exercises for learning Q# and quantum computing
Jupyter Notebook Conversion
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
Some sample IPython notebooks for scikit-learn
Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks
COCO API - Dataset @ http://cocodataset.org/
《Python Cookbook》 3rd Edition Translation
Practice your pandas skills!
A high-level probabilistic programming interface for TensorFlow Probability