6286 Open source projects that are alternatives of or similar to Oreilly Intro To Predictive Clv

Jupyter Notebooks from the old UnsupervisedLearning.com (RIP) machine learning and statistics blog

Succinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-means clustering, Sentiment Analysis, Recommender Systems, Neural Networks and Reinforcement Learning.

A generative network for animal vocalizations. For dimensionality reduction, sequencing, clustering, corpus-building, and generating novel 'stimulus spaces'. All with notebook examples using freely available datasets.

👨🏽‍🏫You can learn about what data science is and why it's important in today's modern world. Are you interested in data science?🔋

A series of Jupyter notebooks and python files which stream audio from a microphone using pyaudio, then processes it.

Melusine is a high-level library for emails classification and feature extraction "dédiée aux courriels français".

Stable-Baselines tutorial for Journées Nationales de la Recherche en Robotique 2019

Introduction to Data Science: A Python Approach to Concepts, Techniques and Applications

Reinforcement Learning and Decision Making tutorials explained at an intuitive level and with Jupyter Notebooks

A simple deep learning model to add accent to Vietnamese text.

A New, Interactive Approach to Learning Data Science

Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.

DCGAN face generator 🧑.

Repo replaced by cogsec-collaborative/AMITT

GitHub Action for testing notebooks

Pytorch implementation of a StyleGAN encoder. Images to latent space representation.

Notebooks for upcoming fastai book (draft / incomplete)

Assignments for Berkeley CS 285: Deep Reinforcement Learning (Fall 2020)

Statistical Rethinking (2nd Ed) with Tensorflow Probability

Various math-related things in Python code

Predict remaining useful life of a component based on historical sensor observations using automated feature engineering

Lecture notebooks and coding assignments for the quantum machine learning MOOC created by Peter Wittek on EdX in the Spring 2019

Welcome to Glacier Data Project. A post-wuhan2020 project for data science

Main code for Parcels (Probably A Really Computationally Efficient Lagrangian Simulator)

Stereo convolutional neural network for depth map prediction from stereo images

开源的各大比赛baseline

This repository contains the Tutorials for the NPTEL MOOC on Machine Learning.

Learn the pyspark API through pictures and simple examples

This repository contains code for the paper Learning by Association - A versatile semi-supervised training method for neural networks (CVPR 2017) and the follow-up work Associative Domain Adaptation (ICCV 2017).

Modification of fast.ai deep learning course notebooks for usage with Keras 2 and Python 3.

🛠 All-in-one web-based IDE specialized for machine learning and data science.

A plugin to select syntax highlighting on Jupyter

Feature selector is a tool for dimensionality reduction of machine learning datasets

Face Depixelizer based on "PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models" repository.

Almost Real-time Object Detection using Apple's CoreML and YOLO v1 -

cell detection in calcium imaging recordings

Performance analysis of predictive (alpha) stock factors

Python tutorials and puzzles to share with the world!

Python library for creating data pipelines with chain functional programming

Scenarios, tutorials and demos for Autonomous Driving

C/C++/Python based computer vision models using OpenPose, OpenCV, DLIB, Keras and Tensorflow libraries. Object Detection, Tracking, Face Recognition, Gesture, Emotion and Posture Recognition

https://www.udemy.com/python-for-finance-and-trading-algorithms/

Jupyter Notebook with Python samples for the Cognitive Services Computer Vision API

nbconvert as a web service: Render Jupyter Notebooks as static web pages

A Portfolio of my Data Science Projects

Implementation code for the paper "Generating Natural Language Adversarial Examples"

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

周志华-机器学习

PyTorch implementation of SLAYER for training Spiking Neural Networks

Fast Depth Densification for Occlusion-Aware Augmented Reality

『StanとRでベイズ統計モデリング』のサポートページです.

📈 如何用深度强化学习自动炒股

Open source person re-identification in Pytorch

Project analyzes Amazon Stock data using Python. Feature Extraction is performed and ARIMA and Fourier series models are made. LSTM is used with multiple features to predict stock prices and then sentimental analysis is performed using news and reddit sentiments. GANs are used to predict stock data too where Amazon data is taken from an API as Generator and CNNs are used as discriminator.

A minimal implementaion (less than 150 lines of code with visualization) of DCGAN/WGAN in PyTorch with jupyter notebooks

A list of pretrained Transformer models for the Russian language.