6188 Open source projects that are alternatives of or similar to Pomegranate

👩🏻‍⚕️Covid-19 estimation and forecast using statistical model; 新型冠状病毒肺炎统计模型预测 (Jan 2020)

Paper: CVPR2018, Learning Rich Features for Image Manipulation Detection

AWS Retail Demo Store is a sample retail web application and workshop platform demonstrating how AWS infrastructure and services can be used to build compelling customer experiences for eCommerce, retail, and digital marketing use-cases

Some code examples gathered during my Month of Julia.

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

Simplified implementations of deep learning related works

Reinforcement learning with A* and a deep heuristic

A collection of various deep learning architectures, models, and tips

Keras implementation of the paper "3D MRI brain tumor segmentation using autoencoder regularization" by Myronenko A. (https://arxiv.org/abs/1810.11654).

An implementation of some of the tools used by the winner of the box plots competition using scikit-learn.

What scientific programmers must know about CPUs and RAM to write fast code.

pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行

A Python Matplotlib, Numpy library to manage wind data, draw windrose (also known as a polar rose plot), draw probability density function and fit Weibull distribution

Statistics and Accepted paper list with arXiv link of EMNLP-IJCNLP 2019

Decaf is DEPRECATED! Please visit http://caffe.berkeleyvision.org/ for Caffe, the new framework that has all the good things: GPU computation, full train/test scripts, native C++, and an active community!

Simple plotting library that wraps Matplotlib and integrated with DataFrames

Code to synthesise textures using convolutional neural networks as described in Gatys et al. 2015 (http://arxiv.org/abs/1505.07376)

This is the code for "Neural DIfferential Equations" By Siraj Raval on Youtube

The accompanying files for the book 'Dataviz with Python and JavaScript'

A fast and lightweight AutoML library.

turbo.js - perform massive parallel computations in your browser with GPGPU.

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

Compared performance of KNN, SVM, BPNN, CNN, Transfer Learning (retrain on Inception v3) on image classification problem. CNN is implemented with TensorFlow

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

This is the PyTorch implementation of VGG network trained on CIFAR10 dataset

An automatic beatmap generator using Tensorflow / Deep Learning.

Simple Implementation of many GAN models with PyTorch.

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

Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.

The BlazeFace face detector model implemented in PyTorch

A collection of tutorials on neural networks, using Theano

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

Jupyter Notebooks for Computational Linear Algebra course, taught summer 2018 in USF MSDS program

中国象棋alpha zero程序

18.S096 three-week course at MIT

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

2018-JDDC大赛第4名的解决方案

《统计学习方法》的代码实现

Tensorflow Implementation of the paper [Neural Discrete Representation Learning](https://arxiv.org/abs/1711.00937) (VQ-VAE).

A neural network that transforms a design mock-up into a static website.

PyTorch Implementation of "Large-Scale Image Retrieval with Attentive Deep Local Features"

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

Efficient transducers for Julia

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

Python library for reading and writing well data using Log ASCII Standard (LAS) files

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.

Deep learning based speech source separation using Pytorch

PyTorch implementation of VQ-VAE by Aäron van den Oord et al.

Hands-On Computer Vision with TensorFlow 2, published by Packt

Programming Music with Python, Sonic Pi and Supercollider

The LRP Toolbox provides simple and accessible stand-alone implementations of LRP for artificial neural networks supporting Matlab and Python. The Toolbox realizes LRP functionality for the Caffe Deep Learning Framework as an extension of Caffe source code published in 10/2015.

Train a Word2Vec model or LSA model, and Implement Conceptual Search\Semantic Search in Solr\Lucene - Simon Hughes Dice.com, Dice Tech Jobs

A series of notebooks describing how to use YOLO (darkflow) in python

Data Cleaning Libraries with Python

Notes, Codes, and Tutorials for the Deep Learning Course <which I taught at ChinaHadoop>

Bayesian neural network using Pyro and PyTorch on MNIST dataset