Empowering Data Driven insights through hands-on projects, SQL challenges and practical tools.
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Updated
Jun 10, 2024 - Jupyter Notebook
TensorFlow is an open source library that was created by Google. It is used to design, build, and train deep learning models.
Empowering Data Driven insights through hands-on projects, SQL challenges and practical tools.
A gaming controller app that was created using the Teachable Machine and computer vision to trigger arrow key inputs.
🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools
Tools for easing the handoff between AI/ML and App/SRE teams.
Neural Network Compression Framework for enhanced OpenVINO™ inference
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
a paper aiming to write different AIs to classify MRI images of brain metastases based on their primary cancers
PennyLane is a cross-platform Python library for quantum computing, quantum machine learning, and quantum chemistry. Train a quantum computer the same way as a neural network.
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
Sentiment analysis, a branch of natural language processing (NLP), involves the automated process of determining sentiment or opinion expressed in textual data. It aims to identify whether a piece of text conveys positive, negative, or neutral sentiment.
A TensorFlow Lite object detection prototype using the COCO-SSD-Mobile-Net model.
AI + Data, online. https://vespa.ai
An AI-powered real-time system that detects elephants and sends early warnings to nearby villages.
An Open Source Machine Learning Framework for Everyone
HiFi music generator based on GenAI technology
de novo drug design (joint project)
Open-source, graph-based Python code generator and analysis toolbox for dynamical systems (pre-implemented and custom models). Most pre-implemented models belong to the family of neural population models.
A customizable Object Detection prototype for advanced alarm systems
obtaining applying skills on Machine Learning & Deep Learning + sth else
Created by Google Brain Team
Released November 9, 2015