Stars
A Survey on Large Language Model-Based Game Agents
PyTorch code and model checkpoints for Score identity Distillation (SiD) published in ICML 2024
Reference implementation for DPO (Direct Preference Optimization)
Machine Learning Engineering Open Book
Tackling the Generative Learning Trilemma with Denoising Diffusion GANs https://arxiv.org/abs/2112.07804
Official repo for consistency models.
Paper list and datasets for industrial image anomaly/defect detection (updating). 工业异常/瑕疵检测论文及数据集检索库(持续更新)。
A series of tutorial notebooks on denoising diffusion probabilistic models in PyTorch
A pytorch implementation of Paper "Improved Training of Wasserstein GANs"
A curated list of recent diffusion models for video generation, editing, restoration, understanding, etc.
Generate a customised list of publications for your LaTeX CV using BibTeX entries.
Code for "Optimizing DDPM Sampling with Shortcut Fine-Tuning" (https://arxiv.org/abs/2301.13362), ICML 2023
Maximum Entropy and Maximum Causal Entropy Inverse Reinforcement Learning Implementation in Python
Bayesian active learning with EPIG data acquisition
High-quality implementations of standard and SOTA methods on a variety of tasks.
My PyTorch Implementation of DiffusionRecoveryLikelihood
Supplementary code for the paper "Hyperbolic Image Embeddings".
Differentiable Data Augmentation Library
[NeurIPS'21] Projected GANs Converge Faster
Guarantees on the behavior of neural networks don't always have to come at the cost of performance.
🌳 Low-contrast Vim color scheme based on Seoul Colors
Collection of hyperparameter optimization benchmark problems