211 Open source projects that are alternatives of or similar to symbolic-pymc

An extensible, lightweight relational/logic programming DSL written in pure Python

Manipulate tensors symbolically in Julia! Currently needs a SymPy dependency, but work is ongoing to change the backend to SymbolicUtils.jl

mathiu : a simple computer algebra system in C++.

GemPy is an open-source, Python-based 3-D structural geological modeling software, which allows the implicit (i.e. automatic) creation of complex geological models from interface and orientation data. It also offers support for stochastic modeling to adress parameter and model uncertainties.

An implementation of the AlphaZero algorithm for Gomoku (also called Gobang or Five in a Row)

Keras community contributions

R, Python and Mathematica Codes in Machine Learning, Deep Learning, Artificial Intelligence, NLP and Geolocation

Materials for the course of machine learning at Imperial College organized by Yandex SDA

a Go implementation of miniKanren, an embedded Domain Specific Language for logic programming.

Deep Learning libraries tested on images and time series

Generating proportional fonts with deep learning

This repository contains the code of HyperDenseNet, a hyper-densely connected CNN to segment medical images in multi-modal image scenarios.

Keras + Gaussian Processes: Learning scalable deep and recurrent kernels.

Code examples for training AlexNet using Keras and Theano

MPI Parallel framework for training deep learning models built in Theano

机器学习相关教程

Learning kernels to maximize the power of MMD tests

AIOpen是一个按人工智能三要素（数据、算法、算力）进行AI开源项目分类的汇集项目，项目致力于跟踪目前人工智能（AI）的深度学习（DL）开源项目，并尽可能地罗列目前的开源项目，同时加入了一些曾经研究过的代码。通过这些开源项目，使初次接触AI的人们对人工智能（深度学习）有更清晰和更全面的了解。

Advanced Combinatorics and Algebraic Number Theory Symbolic Computation library for JavaScript, Python

The Cutest Deep Learning Framework which is also a wonderful Declarative Language

This toolbox is support material for the book on CNN (http://www.convolution.network).

Collection of iris classifcation program for teaching purpose

THEANO-KALDI-RNNs is a project implementing various Recurrent Neural Networks (RNNs) for RNN-HMM speech recognition. The Theano Code is coupled with the Kaldi decoder.

A powerful language for symbolic computation written in Swift.

This repository contains the code of LiviaNET, a 3D fully convolutional neural network that was employed in our work: "3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study"

Theano implementation of XNOR-Net

Handwritten Digit Recognition using Machine Learning and Deep Learning

Recurrent Neural Network and Long Short Term Memory (LSTM) with Connectionist Temporal Classification implemented in Theano. Includes a Toy training example.

Trojan Attack on Neural Network

A module for E-mail Summarization which uses clustering of skip-thought sentence embeddings.

AETROS CLI + SDK. Command line application to manage/monitor machine learning training in AETROS Trainer

Text Classification by Convolutional Neural Network in Keras

Periodic Spatial Generative Adversarial Networks

Implementations of the ICML 2017 paper (with Yarin Gal)

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

Image Captions Generation with Spatial and Channel-wise Attention

This repo allocate DAPs code of our ECCV 2016 publication

Materials of the Nordic Probabilistic AI School 2019.

This is now the official location of the Merlin project.

Theano reimplementation of pixelCNN architecture

A deep generative model library in Theano and Lasagne

The sample question for Interview a job in Binary options

several basic neural networks[mlp, autoencoder, CNNs, recurrentNN, recursiveNN] implements under several NN frameworks[ tensorflow, pytorch, theano, keras]

Repository for the Deep One-Class Classification ICML 2018 paper

DL course co-developed by YSDA, HSE and Skoltech

Ensembler is a python package that provides fast and easy access to 1D and 2D model system simulations. It can be used for method development or to deepen understanding of a broad spectrum of modeling methods, from basic sampling techniques to enhanced sampling and free energy calculations. It is easy to install, fast, increases shareability, co…

使用Theano实现的一些RNN代码，包括最基本的RNN，LSTM，以及部分Attention模型，如论文MLSTM等

Aesara is a fork of the Theano library that is maintained by the PyMC developers. It was previously named Theano-PyMC.

An implementation of the RoiAlign operation for Theano

Theano implementation of Sequence-to-Sequence Autoencoder

A curated list of applied machine learning and data science notebooks and libraries across different industries.

Sets up a VM with Keras, TensorFlow, TFLearn and Theano installed

3-day dive into deep learning at csc

An implementation of RNN-RBM & GBRBM.

Repository containing the code of one of the networks that we employed in the iSEG Grand MICCAI Challenge 2017, infant brain segmentation.

Iterative Linear Quadratic Regulator with auto-differentiatiable dynamics models

Keras implementation of BERT with pre-trained weights

Gesture recognition via CNN. Implemented in Keras + Tensorflow/Theano + OpenCV

RNN benchmarks of pytorch, tensorflow and theano