5974 Open source projects that are alternatives of or similar to Prototypical Networks Tensorflow

Demo for CVPR 2017 paper

Scraped data from the 2016 U.S. Election (President, Senate, House, Governor) and primaries, ballot measures and exit polls

電子書籍『仕事ではじめる機械学習』のサポートリポジトリです

Detecting cinema shot types using a ResNet-50

pytorch implementation of Neural Parametric Singing Synthesizer 歌声合成

Basic Cheat Sheet for Python (PDF, Markdown and Jupyter Notebook)

Source code for the book, Math for Programmers

Template-free prediction of organic reaction outcomes

This is the code for "Kaggle Challenge LIVE" By Siraj Raval on Youtube

A curated list of awesome embedding models tutorials, projects and communities.

GCP Essentials for Bioinformatics Researchers

Jupyter Notebooks for learning the PyRosetta platform for biomolecular structure prediction and design

A tutorial on how to implement models for part-of-speech tagging using PyTorch and TorchText.

For the pandas tutorial at PyData Seattle: https://www.youtube.com/watch?v=otCriSKVV_8

Repository with material for the Limperg Python course by Ties de Kok.

Breze with all the stuff.

Code samples and materials to help you learn to access SAS Viya services by writing programs in Python and other open-source languages

Rhythm Pattern music feature extractor by IFS @ TU-Vienna

Code repository of the Earth Microbiome Project.

This is a repository for submitted contents of Qiita.

Curated list of open-access databases with human structural MRI data

Reconstruction of three-dimensional porous media using generative adversarial neural networks

Artificial Learning, Intelligent Machines

Machine learning to classify Malicious (Spam)/Benign URL's

Porting the R code in ISL to python. Labs and exercises

Applying transfer learning to a custom dataset by retraining Inception's final layer

General Assembly's 2015 Data Science course in Washington, DC

Jupyter NoteBooks to get you boosted with the basics of python with hands-on-practice.

machine learning

Python/Jupyter notebooks for Volume 2 of "Deep Learning - From Basics to Practice" by Andrew Glassner

Explanatory Model Analysis. Explore, Explain and Examine Predictive Models

Python code examples for the feedly Machine Learning blog (https://blog.feedly.com/category/all/Machine-Learning/)

A PyTorch implementation of "WaveFlow: A Compact Flow-based Model for Raw Audio"

Python library for science observations from the James Webb Space Telescope

Authors' implementation of DeepSpeech Distances.

Learning Vis Tools: Tutorial materials for Data Visualization course at HKUST

Lab files for Azure Machine Learning exercises

Implementation of "Texture Synthesis with Non-Parametric Sampling" paper by Alexei A. Efros and Thomas K. Leung

Python 3

Tous les codes utilisés dans la série YouTube Python Spécial Machine Learning !

Examples and IPython Notebooks about NetworkX

Slides and exercises for the Theano tutorial at the Deep Learning School in Stanford, September 24-25, 2016

Implementations of "LSTM: A Search Space Odyssey" variants and their training results on the PTB dataset.

Build and train state-of-the-art natural language processing models using BERT

neon tutorials

A collection of interactive lecture notes and assignments in Jupyter notebook format.

Intro to Deep Learning, including recurrent, convolution, and feed forward neural networks.

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

An libary to price financial options written in Python. Includes: Black Scholes, Black 76, Implied Volatility, American, European, Asian, Spread Options

Sequana: a set of Snakemake NGS pipelines

(somewhat) cleaned-up notebooks used in researching public comments for FCC Proceeding 17-108 (Net Neutrality Repeal)

Brazilian-Portuguese word list and instructions booklet for Diceware

Deep Learning Specialization by Andrew Ng, deeplearning.ai.

Curated Notebooks from STScI

End-to-end guide design for CRISPR/Cas9 with machine learning

A toolkit for controlling Euro Truck Simulator 2 with python to develop self-driving algorithms.