High-performance automatic differentiation of LLVM and MLIR.

Unlock deep learning's secrets! Dive into fundamentals, master advanced techniques, and ignite creativity with hands-on projects. Join a vibrant community, push boundaries, and unleash AI's full potential. Begin your journey now!

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.

This project uses TensorFlow and Keras to develop a deep learning model for detecting glasses on human faces in images. It employs convolutional neural networks (CNNs) to classify images into "with glasses" and "without glasses" categories, offering a versatile tool for applications like facial recognition and virtual try-on experiences.

ncnn is a high-performance neural network inference framework optimized for the mobile platform

An Open Source Machine Learning Framework for Everyone

ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

Artificial Intelligence model trained with a CNN to detect fake images generated with AI using Deep learning.

Deep Learning for humans

Fast Carbon Monoxide Column (XCO) Estimation from Cross-track Infrared Sounder (CrIS) Observations Using Machine Learning

My semester project in Mathematics for Machine Learning course. Fall 2023, Nagoya university.

ThereForYou: Your mental health ally. Kai, our AI assistant, offers compassionate support. Track your mood trends, find solace in a secure community, and access crisis resources swiftly. We're here to empower your journey towards improved well-being, leveraging technology for a brighter tomorrow.

Deep Learning and Neural Network based Sign Sense or 'Sign Language' to Speech converter is an desktop app which can detect hand signs in a frame and can convert them to Speech, according to their respective meaning. Opposite to this, it can also recognise your voice and can convert it to sign language.

This initiative leverages cutting-edge machine learning technique such as Mask R-CNN to automate the identification of buildings in satellite images after disasters. Employing high-resolution Maxar imagery, our models efficiently and accurately pinpoint affected structures, enhancing the speed and effectiveness of emergency responses.

A next-generation dynamic and high-performance language for AI and IOT with natural born distributed computing ability.

A retargetable MLIR-based machine learning compiler and runtime toolkit.

An Engine-Agnostic Deep Learning Framework in Java

Visualizer for neural network, deep learning and machine learning models

CREPE: A Convolutional REpresentation for Pitch Estimation -- pre-trained model (ICASSP 2018)