Top 5939 jupyter-notebook open source projects

Context geo-tiles in Python

Repository for tutorial sessions at EEML2020

A python wrapper for the Visual Genome API

Source Code for Machine Learning in Action for Python 3.X

Right Ventricle Cardiac MRI Segmentation

Implementation of a seq2seq model for Speech Recognition using the latest version of TensorFlow. Architecture similar to Listen, Attend and Spell.

收录古柳（DesertsX）的一些小项目

Jupyter notebooks to help you started with tensorflow 2.0

From Microsoft's FREE Edx course

Official implementation of 'FMix: Enhancing Mixed Sample Data Augmentation'

Machine Learning Foundations: Algebra, Calculus, Statistics & Computer Science

Udacity's Machine Learning Nanodegree project files and notes.

Code repository for DenseReg.

Code for Document Similarity on Reuters dataset using Encode, Embed, Attend, Predict recipe

a framework for training sequence-level deep learning networks

ML Online Course Repository. Course videos on online.codingblocks.com

Global shoreline mapping tool from satellite imagery

Shared Blogs and Notebooks

ULMFiT for Genomic Sequence Data

This course covers how you can use NLP to do stuff.

主要存储Datawhale组队学习中“编程、数据结构与算法”方向的资料。

Artificial Intelligence projects, documentation and code.

Practical Exercise Codes for PyTorch

台大机器学习课程作业详解

Case studies, examples, and exercises for learning to deploy ML models using AWS SageMaker.

A PyTorch implementation of PointRend: Image Segmentation as Rendering

Pysolar is a collection of Python libraries for simulating the irradiation of any point on earth by the sun. It includes code for extremely precise ephemeris calculations.

summer school coursework

An implementation of "mixup: Beyond Empirical Risk Minimization"

Estimates the size of a PyTorch model in memory

Stock for Deep Learning and Machine Learning

code and model of Pyramid Feature Selective Network for Saliency detection

Website with learning materials / Stránka s učebními materiály

Resources for students in the Udacity's Machine Learning Engineer Nanodegree to work through Stanford's Convolutional Neural Networks for Visual Recognition course (CS231n).

A generic Mixture Density Networks (MDN) implementation for distribution and uncertainty estimation by using Keras (TensorFlow)

Repeatable analysis plugin for Jupyter notebook

Streaming over lightweight data transformations

Epipolar Transformers (CVPR 2020)

faiss wiki in chinese.

Implementation of Google Brain's WaveGrad high-fidelity vocoder (paper: https://arxiv.org/pdf/2009.00713.pdf). First implementation on GitHub.

Tutorials for deep learning

Building Machine Learning Projects with TensorFlow by Packt

Implementation of "Overcoming catastrophic forgetting in neural networks" in Tensorflow

Gradient based receptive field estimation for Convolutional Neural Networks

How to use ELMo embeddings in Keras with Tensorflow Hub

Machine Learning in Finance: From Theory to Practice Book

A minimal Jupyter Notebook theme

Running parametric t-SNE by Laurens Van Der Maaten with Octave and oct2py.

Python code for bayesian optimization using Gaussian processes

Automatic Music Transcription with Deep Neural Networks

This repository contains all the material for the MLTrain NIPS workshop