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Implementation based on the 2016 Pixel-RNN Paper
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
Release for Improved Denoising Diffusion Probabilistic Models
The Pytorch Tutorial of Score-based and Diffusion Model
Official release of code for "Oops I Took A Gradient: Scalable Sampling for Discrete Distributions"
Simple Cartpole example writed with pytorch.
Fast and accurate face landmark detection library using PyTorch; Support 68-point semi-frontal and 39-point profile landmark detection; Support both coordinate-based and heatmap-based inference; Up…
Hyperparameter analysis for Image Captioning using LSTMs and Transformers
Brief introduction and implementations of related concepts to Dirichlet Processes: GEM distribution, Polya Urn, Chinese restaurant process, Stick-Breaking construction, and Posterior of a DP.