Stars
Models and examples built with TensorFlow
A curated list of awesome Machine Learning frameworks, libraries and software.
scikit-learn: machine learning in Python
The world's simplest facial recognition api for Python and the command line
Streamlit — A faster way to build and share data apps.
TensorFlow code and pre-trained models for BERT
💫 Industrial-strength Natural Language Processing (NLP) in Python
⚡ A Fast, Extensible Progress Bar for Python and CLI
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
Best Practices on Recommendation Systems
Automated nginx proxy for Docker containers using docker-gen
A unified framework for machine learning with time series
A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities
Reads key-value pairs from a .env file and can set them as environment variables. It helps in developing applications following the 12-factor principles.
XLNet: Generalized Autoregressive Pretraining for Language Understanding
Progressive Growing of GANs for Improved Quality, Stability, and Variation
Voilà turns Jupyter notebooks into standalone web applications
Web interface for browsing, search and filtering recent arxiv submissions
A Python implementation of LightFM, a hybrid recommendation algorithm.
The Natural Language Decathlon: A Multitask Challenge for NLP
General code to convert a trained keras model into an inference tensorflow model
End-to-end neural table-text understanding models.
An Open-source Toolkit for Deep Learning based Recommendation with Tensorflow.
PyMongo support for Flask applications
Code for "Neural Controlled Differential Equations for Irregular Time Series" (Neurips 2020 Spotlight)
Multivariate LSTM Fully Convolutional Networks for Time Series Classification
Implementation of Rectified Adam in Keras