Stars
scikit-learn: machine learning in Python
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
Always know what to expect from your data.
A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques
The Triton Inference Server provides an optimized cloud and edge inferencing solution.
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
An open source python library for automated feature engineering
Binance Exchange API python implementation for automated trading
A TensorFlow implementation of DeepMind's WaveNet paper
Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.
Lightning ⚡️ fast forecasting with statistical and econometric models.
The open source repository for Electricity Maps App and data parsers that enables a real-time visualisation of the CO2 emissions of electricity consumption
An object-oriented algebraic modeling language in Python for structured optimization problems.
Implementation of research papers on Deep Learning+ NLP+ CV in Python using Keras, Tensorflow and Scikit Learn.
Simple python connector to Binance Futures API
A TensorFlow implementation of Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures.
Easy-to-use multi-strategic automatic trading for Binance Futures with Telegram integration
Time series prediction using dilated causal convolutional neural nets (temporal CNN)
Repository to hold source code related to academic papers I've published.
Python implementation of the local outlier factor tuning algorithm described in “Automatic Hyperparameter Tuning Method for Local Outlier Factor, with Applications to Anomaly Detection.”, Z. Xu, D.…