287 Open source projects that are alternatives of or similar to python-neuron

Official implementation of MLP Singer: Towards Rapid Parallel Korean Singing Voice Synthesis (IEEE MLSP 2021)

Implementation of Artificial Neural Networks using NumPy

Using Self-Organizing Maps for Travelling Salesman Problem

C# implementation of the various algorithms based on Genetic Algorithm, Genetic Programming and Artificial Neural Networks.

Classifying the Blur and Clear Images

Unsupervised ML algorithm for predictive modeling and time-series analysis

Deep Learning Models implemented in python.

Applying Machine Learning and AI Algorithms applied to Trading for better performance and low Std.

A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities

Offline Nepali Handwritten Character Recognition Using Artificial Neural Networks

An easy neural network for Java!

Serving a keras model (neural networks) in a website with the python Django-REST framework.

Curated Tensorflow code resources to help you get started with Deep Learning.

A high-level machine learning and deep learning library for the PHP language.

📈 real-time cryptocurrency chart prediction based on neuronal-networks

[NeurIPS 2019] Deep Set Prediction Networks

MLBox is a powerful Automated Machine Learning python library.

Features a Networking Framework to be used on top of Unity Networking, in order to implement an Authoritative Server with Lag Compensation, Client-Side Prediction/Server Reconciliation and Entity Interpolation

Genome annotation with AUGUSTUS

CNNs for semantic segmentation using Keras library

NeuralProphet - A simple forecasting model based on Neural Networks in PyTorch

🐗 🐻 Deep Learning based Python Library for Stock Market Prediction and Modelling

TensorFlow 1.3 experiment with LSTM (and GRU) RNNs for sine prediction

GPT-2 Telegram Chat bot

Achoo uses a Raspberry Pi to predict if my son will need his inhaler on any given day using weather, pollen, and air quality data. If the prediction for a given day is above a specified threshold, the Pi will email his school nurse, and myself, notifying her that he may need preemptive treatment. Community-sourced health monitoring!

A Compositional Object-Based Approach to Learning Physical Dynamics

Machine Learning Platform and Recommendation Engine built on Kubernetes

implementing "recurrent attentive neural processes" to forecast power usage (w. LSTM baseline, MCDropout)

implementation of STGCN for traffic prediction in IJCAI2018

Extending broom for time series forecasting

A Python library for integrating model-based and judgmental forecasting

Stacked Generalization (Ensemble Learning)

Some of the ML and DL related reading materials, research papers that I've read

command line neural network

Discovering known and novel miRNAs from small RNA sequencing data

Temporal Causal Discovery Framework (PyTorch): discovering causal relationships between time series

NN based lossless compression

An easy neural network for Java!

Protein order and disorder data for Keras, Tensor Flow and Edward frameworks with automated update cycle made for continuous learning applications.

Ordinal regression in Python

A neural network library built in JavaScript

An Android app for viewing and predicting the latest World Rugby rankings 🏉

Ultimate Tennis Statistics and Tennis Crystal Ball - Tennis Big Data Analysis and Prediction

Typing Assistant provides the ability to autocomplete words and suggests predictions for the next word. This makes typing faster, more intelligent and reduces effort.

Open solution to the Toxic Comment Classification Challenge

Supervised domain-agnostic prediction framework for probabilistic modelling

List of papers, code and experiments using deep learning for time series forecasting

Header-only library for using Keras models in C++.

Modular autonomous driving platform running on the CARLA simulator and real-world vehicles.

RNN based Time-series Anomaly detector model implemented in Pytorch.

🤖 MatLab/Octave examples of popular machine learning algorithms with code examples and mathematics being explained

Personal notes about scientific and research works on "Decision-Making for Autonomous Driving"

This project seeks to utilize Deep Learning models, Long-Short Term Memory (LSTM) Neural Network algorithm, to predict stock prices.

Time series prediction with Sequential Model and LSTM units

Deep neural network framework for multi-label text classification

Real-time object detection on Android using the YOLO network with TensorFlow

Time Series Forecast with Bitcoin value, to detect upward/down trends with Machine Learning Algorithms

🚘 "MORE THAN VEHICLE COUNTING!" This project provides prediction for speed, color and size of the vehicles with TensorFlow Object Counting API.

Introducing neural networks to predict stock prices