Low-code framework for building custom LLMs, neural networks, and other AI models
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Updated
May 30, 2024 - Python
Low-code framework for building custom LLMs, neural networks, and other AI models
Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)
Deep & Classical Reinforcement Learning + Machine Learning Examples in Python
Action recognition using soft attention based deep recurrent neural networks
A deep learning model for style-specific music generation.
Reinforcement learning with tensorflow 2 keras
Deep diffs two objects, including nested structures of arrays and objects, and returns the difference. ❄️
Unsupervised Deep Homography: A Fast and Robust Homography Estimation Model
Few Shot Learning by Siamese Networks, using Keras.
JavaScript object detection lightweight library for augmented reality (WebXR demos included). It uses convolutional neural networks running on the GPU with WebGL.
🇦🇮 Deep Learning AI course on Coursera (Andrew Ng)
Graph deep learning library for materials
Recursively (deep) clone JavaScript native types, like Object, Array, RegExp, Date as well as primitives. Used by superstruct, merge-deep, and many others!
Talk is cheap,show me the code ! Deep Learning,Leaning deep,Have fun!
AI-based pathology predicts origins for cancers of unknown primary - Nature
This contains the solutions to the assignments given in The School of AI - Extensive Vision AI 4.0 EVA4
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