Animadversio

awesome-kan

A comprehensive collection of KAN(Kolmogorov-Arnold Network)-related resources, including libraries, projects, tutorials, papers, and more, for researchers and developers in the Kolmogorov-Arnold Network field.

Vim

[ICML 2024] Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model

mamba-recall

Experiments with Mamba SSM models

samplernn-pytorch

PyTorch implementation of SampleRNN: An Unconditional End-to-End Neural Audio Generation Model

ShiArthur03

Score-Entropy-Discrete-Diffusion

[ICML 2024 Best Paper] Discrete Diffusion Modeling by Estimating the Ratios of the Data Distribution (https://arxiv.org/abs/2310.16834)

Dynamic-Neuron-GAN-Alignment

nips2023_shape_vs_texture

kernel-ood-generalization

SNAP

Repo for NeurIPS 2023 Spotlight paper "A Spectral Theory of Neural Prediction and Alignment." Abdulkadir Canatar∗, Jenelle Feather∗, Albert J. Wakhloo, & SueYeon Chung. (∗equal contribution)

awesome-discrete-diffusion-models

A curated list for awesome discrete diffusion models resources.

fast-kan

FastKAN: Very Fast Implementation of Kolmogorov-Arnold Networks (KAN)

efficient-kan

An efficient pure-PyTorch implementation of Kolmogorov-Arnold Network (KAN).

ARC-AGI

The Abstraction and Reasoning Corpus

neuron_as_deep_net

Code behind the work "Single Cortical Neurons as Deep Artificial Neural Networks", published in Neuron 2021

pykan

Kolmogorov Arnold Networks

Jacinle

Personal python toolbox.

generalization_to_OOD_category_viewpoint_combinations

Source code for the Nature Machine Intelligence paper: When and how convolutional neural networks generalize to out-of-distribution category-viewpoint combinations.

Android-SimpleTimeTracker

Simple app that tracks time.

edm2

Analyzing and Improving the Training Dynamics of Diffusion Models (EDM2)

textureSynth

A fork of the Portilla and Simoncelli texture synthesis code

icl-asymptotic

Code for experiments and figures for "Asymptotic theory of in-context learning by linear attention."

critical-band-masking

Code for the NeurIPS 2023 paper "Spatial-frequency channels, shape bias, and adversarial robustness"

pytorch-image-models-with-simclr

Multi-label classification based on timm, and add SimCLR to timm.

nanoGPT

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

bark

🔊 Text-Prompted Generative Audio Model

VAR

[GPT beats diffusion🔥] [scaling laws in visual generation📈] Official impl. of "Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction". An *ultra-simple, user-friendly yet state-of-the-art* codebase for autoregressive image generation!

autoencoder_giffer

dimensionality_reduction_and_superposition

graph_viz