A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)
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Updated
Jun 12, 2024 - Python
A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)
Automated Pneumonia Detection from Chest X-ray Images using Convolutional Neural Networks
Artificial Intelligence > Machine Learning > Deep Learning
Dataset Management Framework, a Python library and a CLI tool to build, analyze and manage Computer Vision datasets.
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
Machine learning and deep learning tutorials, articles and other resources. With repository stars⭐ and forks🍴
Decentralized Asynchronous Training on Heterogeneous Devices
Learn how modern, modular Neural Networks work by implementing a PyTorch/Keras-like framework.
Compendium of free ML reading resources
NGC-Learn: Neurobiological Learning and Biomimetic Systems Simulation in Python
Deep Learning for humans
High-efficiency floating-point neural network inference operators for mobile, server, and Web
A simple and free-from-overcomplications implementation of artificial neural networks ("ANN") using only Python and NumPy.
Evaluation and Tracking for LLM Experiments
Internet-scale Neural Networks
List of papers studying machine learning through the lens of category theory
The objective of this project is to carry out supervised image classification on a collection of colored images. It employs a convolutional neural network design and applies data augmentation and transformations to recognize the category of images from a predefined set of 10 classes.
Streamlining Software Design
Probabilistic time series modeling in Python
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