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newsapi-python

A Python Client for News API

nn_features_engineering

nnabla

NNabla - Neural Network Libraries

node-language-detect

🇫🇷 NodeJS language detection library using n-gram

odo

Data Migration for the Blaze Project

pecos

Python package for performance monitoring of time series data

php-forex-quotes

PHP Library for fetching realtime forex quotes.

picasso

:art: A CNN visualizer

plaidml

PlaidML is a framework for making deep learning work everywhere.

prettypandas

A Pandas Styler class for making beautiful tables

product-line-prediction

Created for toolchain: https://cloud.ibm.com/devops/toolchains/dddfb2dc-6b0f-4df7-89a3-15fbc3540690?env_id=ibm%3Ayp%3Aeu-de

prophet

Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

pybrain

pyflux

Open source time series library for Python

pyod

A Python Toolkit for Scalable Outlier Detection (Anomaly Detection)

python-neural-network

This is an efficient implementation of a fully connected neural network in NumPy. The network can be trained by a variety of learning algorithms: backpropagation, resilient backpropagation and scaled conjugate gradient learning. The network has been developed with PYPY in mind.

quran

quran-1

Quran Research Tool

redbean

ORM layer that creates models, config and database on the fly

regression-helpers

Helper Functions for Regression Using Sklearn

regressor_utils_python

This repository contains classes and functions to reduce the amount of work it takes to handle regression problems in ptyhon.

repo-2017

Python codes in Machine Learning, NLP, Deep Learning and Reinforcement Learning with Keras and Theano

rescnn_relationextraction

Deep Residual Learning for Weakly-Supervised Relation Extraction: https://arxiv.org/abs/1707.08866

rethinkdb

The open-source database for the realtime web.

rl-adventure

Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL

stacknet

StackNet is a computational, scalable and analytical Meta modelling framework

steppy-examples

Examples and tutorials to the steppy library

stock-trading-using-machine-learning

A comprehensive approach for stock trading implemented using Neural Network and Reinforcement Learning separately.

sumo-rl

A simple interface to instantiate Reinforcement Learning environments with SUMO for Traffic Signal Control. Compatible with Gym Env from OpenAI and MultiAgentEnv from RLlib.

tensorflow

Computation using data flow graphs for scalable machine learning