abaudelle's repositories
kafka-python
Python client for Apache Kafka
probability
Probabilistic reasoning and statistical analysis in TensorFlow
models
Models and examples built with TensorFlow
python-holidays
Generate and work with holidays in Python
docs
TensorFlow documentation
tensorflow
An Open Source Machine Learning Framework for Everyone
pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
statsmodels
Statsmodels: statistical modeling and econometrics in Python
awesome-shell
A curated list of awesome command-line frameworks, toolkits, guides and gizmos. Inspired by awesome-php.
pytorch-lightning
The lightweight PyTorch wrapper for ML researchers. Scale your models. Write less boilerplate
prophet
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
Deep-Learning-For-Hackers
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)
nlp-recipes
Natural Language Processing Best Practices & Examples
influxdb-python
Python client for InfluxDB
the-art-of-command-line
Master the command line, in one page
LSTM-Neural-Network-for-Time-Series-Prediction
LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data
commandlinebasics
Exercise Files for Learn the Linux Command Line: The Basics at Lynda.com
time-series-classification-and-clustering
Time series classification and clustering code written in Python.
spark-timeseries
A library for time series analysis on Apache Spark