iShohei220

nano-mdm. Tiny re-implementation of MDM in style of LLaDA and nano-gpt speedrun

adopt. Official Implementation of "ADOPT: Modified Adam Can Converge with Any β2 with the Optimal Rate"

nanoGPT. The simplest, fastest repository for training/finetuning medium-sized GPTs.

score_flow. Official code for "Maximum Likelihood Training of Score-Based Diffusion Models", NeurIPS 2021 (spotlight)

LAE. Langevin Autoencoders

tueplots. Figure sizes, font sizes, fonts, and more configurations at minimal overhead. Fix your journal papers, conference proceedings, and other scientific publications.

cdtau. Unbiased Contrastive Divergence Algorithm

pytorch-flows. PyTorch implementations of algorithms for density estimation

PyTorch-VAE. A Collection of Variational Autoencoders (VAE) in PyTorch.

notion-inline-math. A small userscript to enable inline math in Notion.so

keras-tuner. A Hyperparameter Tuning Library for Keras

probability. Probabilistic reasoning and statistical analysis in TensorFlow

hamiltonian-nn. Code for our paper "Hamiltonian Neural Networks"

mici. Manifold Markov chain Monte Carlo methods in Python

differentiable-generative-models. Inference in differentiable generative models

pytorch-convcnp. A PyTorch Implementation of Convolutional Conditional Neural Process.

torchdiffeq. Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.

NAF. Experiments for the Neural Autoregressive Flows paper

tecnets-pytorch. PyTorch Implementation of TecNets (Task-Embedded Control Networks)

gqn-dataset-renderer. Python

pixyzoo. Implementation codes of deep generative models with Pixyz

pixyz. A library for developing deep generative models in a more concise, intuitive and extendable way