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A technical report on convolution arithmetic in the context of deep learning
Laplacian of functions defined on submanifolds in Euclidean space and, even more generally, on Riemannian and pseudo-Riemannian manifolds.
A PyTorch library for implementing flow matching algorithms, featuring continuous and discrete flow matching implementations. It includes practical examples for both text and image modalities.
TokenBridge: Bridging Continuous and Discrete Tokens for Autoregressive Visual Generation. https://yuqingwang1029.github.io/TokenBridge
Performant, batteries-included completion plugin for Neovim
A python library to compute the graph Ricci curvature and Ricci flow on NetworkX graph.
Visualize curve shortening flow in your browser.
Transformers for modeling physical systems
Wiktionary dump file parser and multilingual data extractor
stability of cluster synchronization on hypergraphs
[ICLR 2022 spotlight]GreaseLM: Graph REASoning Enhanced Language Models for Question Answering
Code and models accompanying "Deep Predictive Coding Networks for Video Prediction and Unsupervised Learning"
An implementation of Performer, a linear attention-based transformer, in Pytorch
Python package built to ease deep learning on graph, on top of existing DL frameworks.
Hummingbird compiles trained ML models into tensor computation for faster inference.
Generative Query Network (GQN) in PyTorch as described in "Neural Scene Representation and Rendering"
WinoGrande: An Adversarial Winograd Schema Challenge at Scale
🤗 ParsBERT: Transformer-based Model for Persian Language Understanding
🛁 Clean Code concepts adapted for Python
An implementation of Restricted Boltzmann Machine in Pytorch