6533 Open source projects that are alternatives of or similar to Repo 2019

Distributed Tensorflow, Keras and PyTorch on Apache Spark/Flink & Ray

Face Mask Detection system based on computer vision and deep learning using OpenCV and Tensorflow/Keras

A framework for using LSTMs to detect anomalies in multivariate time series data. Includes spacecraft anomaly data and experiments from the Mars Science Laboratory and SMAP missions.

Fundamentals of Spark with Python (using PySpark), code examples

Generating Captions for images using Deep Learning

Anomaly detection for temporal data using LSTMs

iPython notebook and pre-trained model that shows how to build deep Autoencoder in Keras for Anomaly Detection in credit card transactions data

This is a repo documenting the best practices in PySpark.

Data Science & Machine Learning projects and tutorials in python from beginner to advanced level.

A Tutorial for Serving Tensorflow Models using Kubernetes

Isolation Forest on Spark

[5 FPS - 150 FPS] Learning Deep Features for One-Class Classification (AnomalyDetection). Corresponds RaspberryPi3. Convert to Tensorflow, ONNX, Caffe, PyTorch. Implementation by Python + OpenVINO/Tensorflow Lite.

Updated repository

Log Anomaly Detection - Machine learning to detect abnormal events logs

HandySpark - bringing pandas-like capabilities to Spark dataframes

Machine Learning Lectures at the European Space Agency (ESA) in 2018

Accompanying code for Paperspace tutorial "Build an AI to play Dino Run"

Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)

Apache Spark (PySpark) Practice on Real Data

High Quality Monocular Depth Estimation via Transfer Learning

🚚 Agile Data Preparation Workflows made easy with dask, cudf, dask_cudf and pyspark

دوره 12 ساعته یادگیری عمیق با چارچوب Keras

🌐 Interactive Workshop on GeoAnalysis using PySpark

ResUNet, a semantic segmentation model inspired by the deep residual learning and UNet. An architecture that take advantages from both(Residual and UNet) models.

Deep Learning with Tensor Flow for EEG MNE Epoch Objects

[NOT MAINTAINED] Predicting Bit coin price using Time series analysis and sentiment analysis of tweets on bitcoin

Detection of Accounting Anomalies using Deep Autoencoder Neural Networks - A lab we prepared for NVIDIA's GPU Technology Conference 2018 that will walk you through the detection of accounting anomalies using deep autoencoder neural networks. The majority of the lab content is based on Jupyter Notebook, Python and PyTorch.

Generic U-Net Tensorflow 2 implementation for semantic segmentation

This project seeks to utilize Deep Learning models, Long-Short Term Memory (LSTM) Neural Network algorithm, to predict stock prices.

PySpark Code for Hands-on Learners

Apache Spark Connector for Azure Cosmos DB

Deep Learning Summer School + Tensorflow + OpenCV cascade training + YOLO + COCO + CycleGAN + AWS EC2 Setup + AWS IoT Project + AWS SageMaker + AWS API Gateway + Raspberry Pi3 Ubuntu Core

该存储库包含由deeplearning.ai提供的相关课程的个人的笔记和实现代码。

Apache Spark & Python (pySpark) tutorials for Big Data Analysis and Machine Learning as IPython / Jupyter notebooks

Introduction to Deep Neural Networks with Keras and Tensorflow

Примеры для курса "Программирование глубоких нейронных сетей на Python"

An open-source, low-code machine learning library in Python

書籍「今すぐ試したい！機械学習・深層学習（ディープラーニング）画像認識プログラミングレシピ」のソースコードを配布するレポジトリです。

Music recommender using deep learning with Keras and TensorFlow

🔎 Monitor deep learning model training and hardware usage from your mobile phone 📱

Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT.

Demo of PySpark and Jupyter Notebook with the Jupyter Docker Stacks

InferPy: Deep Probabilistic Modeling with Tensorflow Made Easy

Jupyter magics and kernels for working with remote Spark clusters

This is a times series anomaly detection algorithm, implemented in Python, for catching multiple anomalies. It uses a moving average with an extreme student deviate (ESD) test to detect anomalous points.

Pruning and other network surgery for trained TF.Keras models.

Word2Vec models with Twitter data using Spark. Blog:

Detecting Pneumonia in Chest X-ray Images using Convolutional Neural Network and Pretrained Models

Applying UNET Model on TGS Salt Identification Challenge hosted on Kaggle

A simple Spark TDD example

Implemented the YOLO algorithm for scene text detection in keras-tensorflow (No object detection API used) The code can be tweaked to train for a different object detection task using YOLO.

UNet is a fully convolutional network(FCN) that does image segmentation. Its goal is to predict each pixel's class. It is built upon the FCN and modified in a way that it yields better segmentation in medical imaging.

A End to End CNN Model which predicts the steering wheel angle based on the video/image

Fit 3DMM to front and side face images simultaneously.

Microsoft Graph Security API applications and services.

Log-based Impactful Problem Identification using Machine Learning [FSE'18]

Classical algorithms of sound source localization with beamforming, TDOA and high-resolution spectral estimation.

For a mini tutorial at U of T, a tutorial on MNIST classification in Keras.

Reinforcement Learning examples implementation and explanation

Online trading using Artificial Intelligence Machine leaning with basic python on Indian Stock Market, trading using live bots indicator screener and back tester using rest API and websocket 😊