repo for practicing DL/genAI
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Updated
May 24, 2024 - Python
repo for practicing DL/genAI
Implementations of Infinitesimal Continuous Normalizing Flows Algorithms in Julia
Biology-driven deep generative model for cell-type annotation in cytometry. Scyan is an interpretable model that also corrects batch-effect and can be used for debarcoding or population discovery.
nessai: Nested Sampling with Artificial Intelligence
WISER: multimodal variational inference for full-waveform inversion without dimensionality reduction
Normalizing flows for neuro-symbolic AI
Normalizing-flow enhanced sampling package for probabilistic inference in Jax
A set of notebooks related to convex optimization, variational inference and numerical methods for signal processing, machine learning, deep learning, graph analysis, bayesian programming, statistics or astronomy.
Nomalizing flows for orbita-free DFT
An extension of LightGBM to probabilistic modelling
Mixed Noise and Posterior Estimation with Conditional DeepGEM
A Julia framework for invertible neural networks
Open source implementation to the paper "IKFlow: Generating Diverse Inverse Kinematics Solutions"
Normalising flows implemented using nflows
sRGB Real Noise Modeling via Noise-Aware Sampling with Normalizing Flows, in ICLR 2024
PyTorch Lightning Implementation of Diffusion, GAN, VAE, Flow models
D<ee>p learning [dev library]
Applying amortizing neural posterior estimation for non-linear mixed effects models
This is an unofficial implementation of the KRnet with Pytorch, which Tensorflow originally implemented.
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