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A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Notebooks for learning deep learning
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
⭐️ A tiny wrapper around three.js built for high-performance WebGL experiences.
A Telegram bot to monitor and control deep learning experiments
Notebooks for my "Deep Learning with TensorFlow 2 and Keras" course
Repo associated with the "Vue.js: Getting Started" training course
A collection of SingularityNET services using third party DNN models.
Code and data for paper "Deep Painterly Harmonization": https://arxiv.org/abs/1804.03189
Learn how to design, develop, deploy and iterate on production-grade ML applications.
Ensure web3 is available before your app renders
Build a Web3 Dapp Using Modern React Practices
Deep learning library for Java, with fully connected, convolutional, and recurrent layers. Also features many gradient descent optimization algorithms.
C++ examples for the Vulkan graphics API
Data repository for pretrained NLP models and NLP corpora.
Introduction to Deep Learning for Natural Language Processing
Documentation and samples for ArcGIS API for Python
Self-excited point process models of crime
Simple and comprehensive tutorials in TensorFlow
A flexible, high-performance serving system for machine learning models
Database of OSM compounds to date - SDF and Excel versions
Automatic prototype based drug generation