Beginner guide to data wrangling with Pandas and advance concepts on scaling pandas for large datasets
Stock analyzer and predictor using Elasticsearch, Twitter, News headlines and Python natural language processing and sentiment analysis
Hyperparameter Optimization for Keras Models
Python package to plot and analyse samples from probabilistic models
Dropbox for data science, built on S3
High Fidelity Simulator for Reinforcement Learning and Robotics Research.
Bring velocity to deep-learning research, by providing tried and tested large pool of prebuilt components that are known to be working well together.
A fast cnn-based vocoder. This work is inspired from m-cnn model described in “Fast Spectrogram Inversion using Multi-head Convolutional Neural Networks”.
Progressive training of GANs with Mutual Information Penalty
Infer.NET is a framework for running Bayesian inference in graphical models
A framework for reproducible reinforcement learning research
A multi-class confusion matrix library written in Python that supports both input data vectors and direct matrix, and a proper tool for post-classification model evaluation that supports most classes and overall statistics parameters.