6344 Open source projects that are alternatives of or similar to Rethinking Numpyro

파이썬Python 강의에 사용되는 소스코드Source Code와 강의 자료들을 모은 repository 입니다.

Stable-Baselines tutorial for Journées Nationales de la Recherche en Robotique 2019

CNN image style transfer 🎨.

Bio-Computing Platform featuring Large-Scale Representation Learning and Multi-Task Deep Learning “螺旋桨”生物计算工具集

Some code examples gathered during my Month of Julia.

虾神的Python示例代码库

Simplified implementations of deep learning related works

Malware Detection and Classification Using Machine Learning

VQVAEs, GumbelSoftmaxes and friends

Tensor Shape Annotation Library (numpy, tensorflow, pytorch, ...)

This is the code for "Stock Market Prediction" by Siraj Raval on Youtube

fastai V2 implementation of Timeseries classification papers.

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Machine Learning Ops Workshop with SageMaker: lab guides and materials.

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A list of awesome resources on normalizing flows.

AI-related tutorials. Access any of them for free → https://towardsai.net/editorial

A fast and lightweight AutoML library.

Self hosted alternative to Google Photos

A clear, concise, simple yet powerful and efficient API for deep learning.

微信机器人，基于Python itchat接口功能实例展示：01-itchat获取微信好友或者微信群分享文章、02-itchat获取微信公众号文章、03-itchat监听微信公众号发送的文章、04 itchat监听微信群或好友撤回的消息、05 itchat获得微信好友信息以及表图对比、06 python打印出微信被删除好友、07 itchat自动回复好友、08 itchat微信好友个性签名词云图、09 itchat微信好友性别比例、10 微信群或微信好友撤回消息拦截、11 itchat微信群或好友之间转发消息

This is an LSTM stock prediction using Tensorflow with Keras on top.

Implementation of Factorization Machines on Spark using parallel stochastic gradient descent (python and scala)

An automatic beatmap generator using Tensorflow / Deep Learning.

Text Classification through CNN, RNN & HAN using Keras

Pytorch implementation of HighRes-net, a neural network for multi-frame super-resolution, trained and tested on the European Space Agency’s Kelvin competition.

LSTMS for Predictive Maintenance

The BlazeFace face detector model implemented in PyTorch

Productionise your Jupyter Notebooks as easily as you wrote them.

🌱 Deep Learning for Instance Segmentation of Agricultural Fields - Master thesis

Oxford Deep NLP 2017 course - Practical 1: word2vec

中国象棋alpha zero程序

Deep Learning for Land-cover Classification in Hyperspectral Images.

《Machine Learning: A Probabilistic Perspective》（Kevin P. Murphy）中文翻译和书中算法的Python实现。

Seed, Expand, Constrain: Three Principles for Weakly-Supervised Image Segmentation

Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essential-cheat-sheets-for-machine-learning-and-deep-learning-researchers-efb6a8ebd2e5

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Superpoint Implemented in PyTorch: https://arxiv.org/abs/1712.07629

Home for Elasticsearch examples available to everyone. It's a great way to get started.

Code for Concrete Dropout as presented in https://arxiv.org/abs/1705.07832

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This is the code for the "Classifying Data using Gradient Descent" by Siraj Raval on Youtube

Pytorch version of Realtime Multi-Person Pose Estimation project

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Implemented digit detector in natural scene using resnet50 and Yolo-v2. I used SVHN as the training set, and implemented it using tensorflow and keras.