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

中文商品评论短文本分类器，可用于情感分析

A plugin to select syntax highlighting on Jupyter

This is a tensorflow re-implementation of Faster R-CNN: Towards Real-Time ObjectDetection with Region Proposal Networks.

Multi-Task (Joint Segmentation / Depth / Surface Normas) Real-Time Light-Weight RefineNet

Tensorflow-in-Practice-Specialization

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

All Hadith With Tashkil and Without Tashkel from the Nine Books that are 62,169 Hadith.

Examples of NumbaPro in use.

This is ongoing work developing quick reference sheets for IPython

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

Image augmentation for randomly rotating, shearing, translating and changing lighting conditions.

The "Python Machine Learning (1st edition)" book code repository and info resource

The Open Forcefield Toolkit provides implementations of the SMIRNOFF format, parameterization engine, and other tools. Documentation available at http://open-forcefield-toolkit.readthedocs.io

Scenarios, tutorials and demos for Autonomous Driving

Predict Race and Ethnicity Based on the Sequence of Characters in a Name

C++ library for audio and music analysis, description and synthesis, including Python bindings

PTT 八卦版問答中文語料

Factorization Machines implementation with Tensorflow

Adaptive crawler which uses Reinforcement Learning methods

Solutions for Automate the Boring Stuff with Python

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

Causal Graphical Models in Python

Supporting notebooks and data from hypertools paper

Keras implementation of Sketch RNN

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

A light-weight deep reinforcement learning framework for portfolio management. This project explores the possibility of applying deep reinforcement learning algorithms to stock trading in a highly modular and scalable framework.

“魔镜杯”风控算法大赛 拍拍贷风控模型，接近冠军分数

首个中文的简单从零开始实现视觉SLAM理论与实践教程，使用Python实现。包括：ORB特征点提取，对极几何，视觉里程计后端优化，实时三维重建地图。A easy SLAM practical tutorial (Python).图像处理、otsu二值化。更多其他教程我的CSDN博客

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

Examples of single-cell genomic analysis accelerated with RAPIDS

kaggle titanic solution

Fetching financial data for technical & fundamental analysis and algorithmic trading from a variety of python packages and sources.

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

A collection of IPython notebooks using QuTiP: examples, tutorials, development test, etc.

A lightweight convolutional neural network

A neural conversation model

PyTorch implementation of SLAYER for training Spiking Neural Networks

A combination of Autoencoder and Robust PCA

Code for Nature energy manuscript

YouTube Like Count Predictions using Machine Learning

Fast Depth Densification for Occlusion-Aware Augmented Reality

Deep RL Algorithms implemented for UC Berkeley's CS 294-112: Deep Reinforcement Learning

Tutorial Sessions for SciPy Con 2019

一个获取知乎用户主页信息的多线程Python爬虫程序。

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.

AI and Machine Learning with Kubeflow, Amazon EKS, and SageMaker

mlmodels : Machine Learning and Deep Learning Model ZOO for Pytorch, Tensorflow, Keras, Gluon models...

My solutions to DataCamp projects (now only Python)

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

Bayesian Analysis with Python by Packt

Design-of-experiment (DOE) generator for science, engineering, and statistics

Conda environment and package management extension from within Jupyter

(한국어) 텍스트 마이닝을 위한 공부거리들

Implementation of the paper "NetGAN: Generating Graphs via Random Walks".

Reading notes on the excellent "Designing Data-Intensive Applications"

A Unified Database of NYC transport (subway, taxi/Uber, and citibike) data.

This Repository contains the list of various Machine and Deep Learning related projects. Related code and data files are available inside this folder. One can go through these projects to implement them in real life for specific use cases.