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allennlp

An open-source NLP research library, built on PyTorch.

attention-is-all-you-need-pytorch

A PyTorch implementation of the Transformer model in "Attention is All You Need".

autodidact

A pedagogical implementation of Autograd

benchmarking-gnns

Repository for benchmarking graph neural networks

berlinhack

berlin hack

blog

buboqa

Simple question answering over knowledge graphs (Mohammed et al., NAACL 2018)

ca-redist

Code for Cross-attention Control for better Object assignment in ControlNet

cobbzilla-utils

utility classes

controlnet

Let us control diffusion models!

controlnet11

Nightly release of ControlNet 1.1

corzu

Coreference resolution for German

darktorch

Dark Pytorch documentation theme

datasets

🤗 The largest hub of ready-to-use NLP datasets for ML models with fast, easy-to-use and efficient data manipulation tools

denoising-diffusion-gan

Tackling the Generative Learning Trilemma with Denoising Diffusion GANs https://arxiv.org/abs/2112.07804

denoising-diffusion-pytorch

Implementation of Denoising Diffusion Probabilistic Model in Pytorch

densediffusion

Official Pytorch Implementation of DenseDiffusion (ICCV 2023)

dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

diffusers

🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch

dire

[ICCV 2023] Official implementation of the paper: "DIRE for Diffusion-Generated Image Detection"

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

funcparse

fuzzymax

Code for the paper: Don't Settle for Average, Go for the Max: Fuzzy Sets and Max-Pooled Word Vectors, ICLR 2019.

generativewatermarks

The official PyTorch implementation for ICCV'21 Oral paper 'Artificial GAN Fingerprints: Rooting Deepfake Attribution in Training Data'

genseq

hatespeech

improved-diffusion

Release for Improved Denoising Diffusion Probabilistic Models

improved_wgan_training

Code for reproducing experiments in "Improved Training of Wasserstein GANs"

kgqa