5921 Open source projects that are alternatives of or similar to Machine Learning With Pyspark

Memory Aware Synapses method implementation code

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Home Assistant Object detection with Amazon Rekognition

📈 Stock embeddings based on PE context

In this, I am attaching my code for building a CNN model to detect if a person is wearing face mask or not using the webcam of their PC.

Demonstration of MapR for Industrial IoT

Fish detection using Open Images Dataset and Tensorflow Object Detection

Tensorflow for Time Series Applications

Code for the Lovász-Softmax loss (CVPR 2018)

此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。

Converts a Shapefile, GeoJSON, or CSV to an equal area cartogram

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Landmark Detection and Tracking (SLAM) project for CVND

Python Productivity for ZYNQ

本项目使用两种算法来实现一个电影推荐系统，一个是CNN，另一个是矩阵分解的协同过滤。

Code and notebooks for Econometric Theory

介绍推荐系统几种算法的实现，可以作为模版在此基础上修改使用。

Fully textured and animatable human body mesh reconstruction from a single image

支付宝红包/淘宝领喵币/雪球红包/苏宁易购/京东/淘宝自动签到 领取金币

Neuronal Morphology Analysis Tool

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Materials for a course at NYU Stern using Python to study economic and financial data.

Custom Jupyter Notebook Themes

使用mxnet编写的kaggle CIFAR10比赛的代码

Poloniex bundle for zipline

SABR model Python implementation

Learning Heuristics for the TSP by Policy Gradient

Bitcoin price Prediction ( Time Series ) using LSTM Recurrent neural network

Presentations for JuliaCon

Reproduce research from paper "Predicting the direction of stock market prices using random forest"

Implementation and demonstration of backdrop in pytorch. Code and demonstration of GP dataset generator.

Tutorial material and instruction for scipy 2018 jupyterlab tutorial

This Repository contains all tensorflow tutorials.

Full-stack data project

A guide for binary class sentiment analysis of tweets.

This is the code for "Google Dopamine (LIVE)" by Siraj Raval on Youtube

Python Tutorials

Tensorflow 2 implementation of complete pipeline for multiclass image semantic segmentation using UNet, SegNet and FCN32 architectures on Cambridge-driving Labeled Video Database (CamVid) dataset.

Equivariant Transformer (ET) layers are image-to-image mappings that incorporate prior knowledge on invariances with respect to continuous transformations groups (ICML 2019). Paper: https://arxiv.org/abs/1901.11399

Code for the ICCV 2019 paper "Sampling-free Epistemic Uncertainty Estimation Using Approximated Variance Propagation"

CV 方向论文阅读以及手写代码实现

Simulations of photonic quantum programmable gate arrays

Contrastive Code Representation Learning: functionality-based JavaScript embeddings through self-supervised learning

INFO 490: Advanced Data Science, offered in the Spring 2016 Semester at the University of Illinois

Hacktoberfest 2020. Don't forget to spread love and if you like give me a ⭐️

深度学习的实战项目

Introduction to MIMIC-III, the Critical Care Database

ETL with Python - Taught at DWH course 2017 (TAU)

Simple data visualization on Covid-19 data using Pandas and Google Colaboratory

Kalman filtering, also known as linear quadratic estimation (LQE), is an algorithm that uses a series of measurements observed over time, containing statistical noise and other inaccuracies, and produces estimates of unknown variables that tend to be more accurate than those based on a single measurement alone, by estimating a joint probability distribution over the variables for each timeframe. The filter is named after Rudolf E. Kálmán, one of the primary developers of its theory.

An implementation of NSGA-III in Python.

Predictive Analytics with TensorFlow, published by Packt

🚀 An end-to-end ML applications using PyTorch, W&B, FastAPI, Docker, Streamlit and Heroku → https://e2e-ml-app-pytorch.herokuapp.com/ (may take few minutes to spin up occasionally).