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PDF of slides and an IPython notebook showing an implementation of a multi armed bandit algorithm with Thompson sampling
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
Dataset used in paper "Learning Fashion Compatibility with Bidirectional LSTMs"
An open-source, low-code machine learning library in Python
Code for the paper "Jukebox: A Generative Model for Music"
DeepFashion2 Dataset https://arxiv.org/pdf/1901.07973.pdf
Machine learning-Stanford University
A Mac tool that finds available delivery slots for Amazon's Whole Foods delivery and Amazon Fresh services
A repository of data on coronavirus cases and deaths in the U.S.
🎚️ Open Source Audio Matching and Mastering
Natural Language Processing Best Practices & Examples
Deezer source separation library including pretrained models.
Generate new lyrics in the style of any artist using LSTMs and TensorFlow.
Generating lyrics with a recurrent neural network
LSTM text generation by word. Used to generate lyrics from a corpus of a music genre.
Models and examples built with TensorFlow
A collection of pre-trained, state-of-the-art models in the ONNX format
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines of code.
Notes from books and other interesting things that I've read. Table of contents at the end 👇
TransmogrifAI (pronounced trăns-mŏgˈrə-fī) is an AutoML library for building modular, reusable, strongly typed machine learning workflows on Apache Spark with minimal hand-tuning
Cloud ML Engine repo. Please visit the new Vertex AI samples repo at https://github.com/GoogleCloudPlatform/vertex-ai-samples
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.