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Model, simulate, and visualize discrete nonlinear dynamical systems, chaos, and fractals
Momentum Particle Maximum Likelihood. ICML 2024.
vHeat: Building Vision Models upon Heat Conduction
Official implementation of Inductive Moment Matching
Pytorch Implementation (unofficial) of the paper "Mean Flows for One-step Generative Modeling" by Geng et al.
🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming
Code for the paper Iterated Denoising Energy Matching for Sampling from Boltzmann Densities.
Official Implementation of paper "Training Neural Samplers with Reverse Diffusive KL Divergence"
[CVPR 2025 Oral]Infinity ∞ : Scaling Bitwise AutoRegressive Modeling for High-Resolution Image Synthesis
PyTorch implementation of FractalGen https://arxiv.org/abs/2502.17437
Deep Generative Learning via Schrödinger Bridge
Annealed importance sampling and Monte Carlo diffusion
Fish-like autosuggestions for zsh
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Improved sampling via learned diffusions (ICLR2024) and an optimal control perspective on diffusion-based generative modeling (TMLR2024)
Source code for paper "Physics-aligned field reconstruction with diffusionn bridge"
ICLR25 | Official code base for Heavy-Tailed Diffusion with Denoising Levy Probabilistic Models (DLPM)
BDDM: Bilateral Denoising Diffusion Models for Fast and High-Quality Speech Synthesis
A complete guide to start and improve your LLM skills in 2025 with little background in the field and stay up-to-date with the latest news and state-of-the-art techniques!
Official Implementation of Rectified Flow (ICLR2023 Spotlight)
A generative world for general-purpose robotics & embodied AI learning.