pretzelpy's Stars
spotify/luigi
Luigi is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution, workflow management, visualization etc. It also comes with Hadoop support built in.
rapidsai/cudf
cuDF - GPU DataFrame Library
fastai/nbdev
Create delightful software with Jupyter Notebooks
awslabs/gluonts
Probabilistic time series modeling in Python
susanli2016/Machine-Learning-with-Python
Python code for common Machine Learning Algorithms
pawl/awesome-etl
A curated list of awesome ETL frameworks, libraries, and software.
rob-med/awesome-TS-anomaly-detection
List of tools & datasets for anomaly detection on time-series data.
cerlymarco/MEDIUM_NoteBook
Repository containing notebooks of my posts on Medium
python-bonobo/bonobo
Extract Transform Load for Python 3.5+
jupyterlab-contrib/jupyterlab-variableInspector
Variable Inspector extension for Jupyterlab
NVIDIA-AI-IOT/redtail
Perception and AI components for autonomous mobile robotics.
rapidsai/notebooks
RAPIDS Sample Notebooks
Stiivi/bubbles
[NOT MAINTAINED] Bubbles – Python ETL framework
NVIDIA/fsi-samples
A collection of open-source GPU accelerated Python tools and examples for quantitative analyst tasks and leverages RAPIDS AI project, Numba, cuDF, and Dask.
datamllab/pyodds
An End-to-end Outlier Detection System
NVIDIA-AI-IOT/face-mask-detection
Face Mask Detection using NVIDIA Transfer Learning Toolkit (TLT) and DeepStream for COVID-19
ideonate/nb2xls
Convert Jupyter notebook to Excel spreadsheet
damjankuznar/pylof
Python implementation of Local Outlier Factor algorithm.
rapidsai/gpu-bdb
RAPIDS GPU-BDB
NVIDIA-AI-IOT/Foresee-Navigation
Semantic-Segmentation based autonomous indoor navigation for mobile robots
NVIDIA-AI-IOT/Electron
An autonomous deep learning indoor delivery robot made with Jetson
shakasom/geocoding
Geocoding tutorial in Python
google-coral/project-birdfeeder
kperry2215/electricity_price_time_series_analysis
This project pulls electricity price data from the EIA API, and then performs time series analysis on it, including time series decomposition and vector autoregression for forecasting.
kperry2215/unsupervised_anomaly_detection_time_series
This script pulls the gasoline price time series (from the EIA), and performs unsupervised time series anomaly detection using a variety of techniques. Techniques include SESD algorithm, One Class SVM, Isolation Forests, and low pass filter.
kperry2215/seasonal_arima_model_forecasting
This code covers the seasonal ARIMA model, where a SARIMA model is generated, tuned, and forecast using test data.
zahan97/Bird-Species-Classification
Classifies a bird's species using a neural network in tensorflow..
LaurentVeyssier/Bird_Classifier_Tensorflow_Colab_Notebook
Bird Classifier developped in tensorflow using pre-trained model from Tensorflow Hub and running on Google Colab
bearpaw/ModernRobotics
Modern Robotics: Mechanics, Planning, and Control Code Library --- The primary purpose of the provided software is to be easy to read and educational, reinforcing the concepts in the book. The code is optimized neither for efficiency nor robustness.
waytrue17/MXNet-on-Lambda
This repo contains the example files for <MXNet on Lambda> blog post