vangj

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.

Language:Jupyter NotebookNOASSERTION1613500

dl-docker

An all-in-one Docker image for deep learning. Contains all the popular DL frameworks (TensorFlow, Theano, Torch, Caffe, etc.)

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ffmpeg-python

Python bindings for FFmpeg - with complex filtering support

Language:PythonApache-2.0966900

pyvarinf

Python package facilitating the use of Bayesian Deep Learning methods with Variational Inference for PyTorch

Language:PythonMIT35800

pt-styletransfer

Neural style transfer as a class in PyTorch

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sentiment-discovery

Unsupervised Language Modeling at scale for robust sentiment classification

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nmtpytorch

Sequence-to-Sequence Framework in PyTorch

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loop

A method to generate speech across multiple speakers

Language:PythonNOASSERTION87000

fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

Language:PythonMIT2981800

Awesome-pytorch-list

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

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PyTorch-Tutorial

Build your neural network easy and fast, 莫烦Python中文教学

Language:Jupyter NotebookMIT805500

spring-data-elasticsearch

Provide support to increase developer productivity in Java when using Elasticsearch. Uses familiar Spring concepts such as a template classes for core API usage and lightweight repository style data access.

Language:JavaApache-2.0288700