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battyone's Projects

lorekeeper icon lorekeeper

CQRS pattern implementation for data storing, updating, and retrieval.

loss-forecasting icon loss-forecasting

An Implementation of the LDF Curve-Fitting and Stochastic Reserving Model in Python.

lotteryprediction icon lotteryprediction

:full_moon_with_face: Lottery prediction using GA+BF ANN+FL(GeneticAlogrithm+ArtificalNeuralNetwork+FuzzyLogicControl) based on SciPy/NumPy/matplotlib/R/SAS/TensorFlow/Keras

lotto-1 icon lotto-1

使用循环神经网络预测大乐透开奖结果。仅为技术研究而产生的娱乐性质的小实验,赚不了钱,赚不了钱,赚不了钱,重要的事情说三遍。

lppls icon lppls

Library for fitting the LPPLS model to data.

lrann icon lrann

On the Effectiveness of Low-rank Approximations in Collaborative Filtering compared to Neural Networks

ls-tcn icon ls-tcn

Local-Context Sensitive Temporal Convolution Network

lsm icon lsm

BIOE332 Final Project. And implementation of a Liquid State Machine

lua-llthreads2 icon lua-llthreads2

`llthreads` library rewritten without `LuaNativeObjects` code generator

lua-log icon lua-log

Asynchronous logging library for Lua

luckylensing icon luckylensing

A library and a GUI for computations in the context of gravitational microlensing

luigi icon luigi

Luigi is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution, workflow management, visualization etc. It also comes with Hadoop support built in.

lwfseg-aeiseg icon lwfseg-aeiseg

Extending Pretrained Segmentation Networkswith Additional Anatomical Structures

lws2mql icon lws2mql

Websocket client library for MetaTrader Platform. Supports MQL4 and MQL5.

ma-cross-ea icon ma-cross-ea

Simple moving average crossover Expert Advisor for Metatrader 4, in MQL4.

mach icon mach

create awesome command line applications in a blaze

machine-learning-numpy icon machine-learning-numpy

Gathers Machine learning models using pure Numpy to cover feed-forward, RNN, CNN, clustering, MCMC, timeseries, tree-based, and so much more!

machine-learning-project-ineuron icon machine-learning-project-ineuron

This is a project that is built using the Python and Flask Framework. This webapp can predict the overall score of a football player given various attributes and match information. This webapp is deployed on the Heroku Platform.

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