Low-code framework for building custom LLMs, neural networks, and other AI models
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Updated
Oct 28, 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
A deep learning model for style-specific music generation.
Reinforcement learning with tensorflow 2 keras
Unsupervised Deep Homography: A Fast and Robust Homography Estimation Model
Graph deep learning library for materials
AI-based pathology predicts origins for cancers of unknown primary - Nature
Canonical Correlation Analysis Zoo: A collection of Regularized, Deep Learning based, Kernel, and Probabilistic methods in a scikit-learn style framework
This project demonstrates how to run and save predictions locally using exported tensorflow estimator model
Tensorflow Tutorial files and Implementations of various Deep NLP and CV Models.
End to End learning for Video Generation from Text
deep learning
Semantic Structure-based Unsupervised Deep Hashing IJCAI2018
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