1191 Open source projects that are alternatives of or similar to python-machine-learning-book-2nd-edition

This repository contains notes and projects of Data scientist track from dataquest course work.

Simple (but often Strong) Baselines for POMDPs in PyTorch - ICML 2022

Recurrent Neural Networks (RNN, GRU, LSTM) and their Bidirectional versions (BiRNN, BiGRU, BiLSTM) for word & character level language modelling in Theano

2019년 민족사관고등학교 졸업 프로젝트

Easy SimAuto (ESA): An easy-to-use Power System Analysis Automation Environment atop PowerWorld Simulator Automation Server (SimAuto)

Sequence Labeling in Tensorflow

Information Retrieval algorithms developed in python. To follow the blog posts, click on the link:

AI Exercise Rep Counter based on Google's Human Pose Estimation Library (Posenet)

This is my graduation project in BIT. Title: Noise Reduction Using GRU.

Char RNN Language Model based on Tensorflow

This is the final project for the Udacity Machine Learning Nanodegree: Predicting article retweets and likes based on the title using Machine Learning

Hands-on in-person workshop for Deep Learning with TensorFlow

Implementation of seq2seq model for Visual Storytelling Challenge (VIST) http://visionandlanguage.net/VIST/index.html

In this work, we propose a deterministic version of Local Interpretable Model Agnostic Explanations (LIME) and the experimental results on three different medical datasets shows the superiority for Deterministic Local Interpretable Model-Agnostic Explanations (DLIME).

CNN, RNN, and Bayesian NN classification for ECG time-series (using TensorFlow in Swift and Python)

This repository is a recommended track, designed to get started with Machine Learning.

Python Image Search Engine with OpenCV

https://dodiku.github.io/audio_noise_clustering/results/ ==> An experiment with a variety of clustering (and clustering-like) techniques to reduce noise on an audio speech recording.

NMA deep learning course

핸즈온 머신러닝 2/E의 주피터 노트북

No description or website provided.

A SQL port of python's scikit-learn preprocessing module, provided as cross-database dbt macros.

Implementation of a LSTM with TensorFlow and distributed on Apache Spark

Object detector from HOG + Linear SVM framework

A package to structure Australian addresses

Sorting objects of different colors using robotic arm and using computer vision (image processing).

The simplest machine learning library for launching UIs, running evaluations, and comparing model performance.

A dynamic microsimulation framework for python

Generating image captions using Xception Network and Beam Search in Keras

Samples for NimbusML, a Python machine learning package providing simple interoperability between ML.NET and scikit-learn components.

skrobot is a Python module for designing, running and tracking Machine Learning experiments / tasks. It is built on top of scikit-learn framework.

Our package scikit-activeml is a Python library for active learning on top of SciPy and scikit-learn.

An Algorithm to Quantify Robustness of Recurrent Neural Networks

These are the projects I did on my Udacity Deep Learning Nanodegree 🌟 💻 💻. 💥 🌈

Load embeddings and featurize your sentences.

RNN benchmarks of pytorch, tensorflow and theano

My dataquest project solutions

Explore machine learning models. Leveraging scikit-learn's models and exposing their behaviour through API

Play around with Pixel in Python

基于scikit-learn实现对新浪新闻的文本分类，数据集为100w篇文档，总计10类，测试集与训练集1:1划分。分类算法采用SVM和Bayes，其中Bayes作为baseline。

Sequence Segmentation using Joint RNN and Structured Prediction Models (ICASSP 2017)

🤓🔮🔬 Emoji prediction from a text using machine learning

SciKIt-learn Pipeline in PAndas

Bay Area WiMLDS scikit-learn open source sprint (Nov 2, 2019)

Machine learning toolkits with Python

No description or website provided.

Solutions to kdd99 dataset with Decision tree and Neural network by scikit-learn

Chainer implementation of Deepmind's Visual Attention Model paper

My bachelor's thesis—analyzing the application of LSTM-based RNNs on financial markets. 🤓

Face/Beauty Rating with both the traditional ML approaches and Convolutional Neural Network Approach

Read numpy .npy files in JavaScript

Implementation of key concepts of neuralnetwork via numpy

机器学习教程，本教程包含基于numpy、sklearn与tensorflow机器学习，也会包含利用spark、flink加快模型训练等用法。本着能够较全的引导读者入门机器学习。

Only in native python & numpy with Keras interface

Alvito - An Algorithm Visualization Tool for Python

No description or website provided.

An implementation of the Fourier Transform using Python

Gaia is a geospatial analysis library jointly developed by Kitware and Epidemico.

Liquid State Machines in Python and NEST

An explicit Python PV system IV & PV curve trace calculator which can also calculate mismatch.