deep-neural-network topic

A framework for multi-task learning, where you may precondition tasks and compose them into bigger tasks. Conditional objectives and per-task evaluations and interpretations.

hristo-vrigazov

[EXPERIMENTAL] Facebook-like automatic alternative (alt) text for images using object detection with pre-trained model.

ankitpokhrel

Going beyond BEDMAP2 using a super resolution deep neural network. Also a convenient flat file data repository for high resolution bed elevation datasets around Antarctica.

weiji14

A WebGL accelerated JavaScript library for training and deploying ML models.

tensorflow

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

microsoft

Text Classification Algorithms: A Survey

kk7nc

⚡ Automatically decrypt encryptions without knowing the key or cipher, decode encodings, and crack hashes ⚡

Ciphey

BigDL: Distributed TensorFlow, Keras and PyTorch on Apache Spark/Flink & Ray

intel-analytics

(⌐■_■) - Deep Reinforcement Learning instrumenting bettercap for WiFi pwning.

evilsocket

A deep neural network that learns to drive in video games

ikergarcia1996