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diffseg

Differentiable Segmentation of Sequences

diffusion

Denoising Diffusion Probabilistic Models

dino

PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO

dino-vit-features

Official implementation for the paper "Deep ViT Features as Dense Visual Descriptors".

dissect

DISSECT: Disentangled Simultaneous Explanations via Concept Traversals

dnc

Differentiable Neural Computers

dynamic-vision-transformer

Accelerating T2t-ViT by 1.6-3.6x.

dysts

More than a hundred strange attractors

eb_gfn

Code for our paper "Generative Flow Networks for Discrete Probabilistic Modeling"

ec

echoes

Machine Learning with Echo State Networks, a scikit-learn compatible package.

edsr-pytorch

PyTorch version of the paper 'Enhanced Deep Residual Networks for Single Image Super-Resolution' (CVPRW 2017)

efficient-capsnet

Official TensorFlow code for the paper "Efficient-CapsNet: Capsule Network with Self-Attention Routing".

efficientzero

Open-source codebase for EfficientZero, from "Mastering Atari Games with Limited Data" at NeurIPS 2021.

eg3d

egt

Edge-Augmented Graph Transformer

emodelrunner

Runs cells from stand-alone packages.

encodec

State-of-the-art deep learning based audio codec supporting both mono 24 kHz audio and stereo 48 kHz audio.

enhancing-transformers

An unofficial implementation of both ViT-VQGAN and RQ-VAE in Pytorch

equisym

(CVPR 2022) Official PyTorch implementation of "Reflection and Rotation Detection via Equivariant Learning."

esvit

EsViT: Efficient self-supervised Vision Transformers

face_saliency

Evaluating the influence of the face as a feature on multiple saliency models

fastgan-pytorch

Official implementation of the paper "Towards Faster and Stabilized GAN Training for High-fidelity Few-shot Image Synthesis" in ICLR 2021

fastmoe

A fast MoE impl for PyTorch

ffvt

The official PyTorch implementation of Feature Fusion Vision Transformer for Fine-Grained Visual Categorization (BMVC 2021).

fgvc-pim

Pytorch implementation for "A Novel Plug-in Module for Fine-Grained Visual Classification". fine-grained visual classification task.

finetune_gptneo_gptj6b

flash-attention

Fast and memory-efficient exact attention

fnn

Embed strange attractors using a regularizer for autoencoders

foveate_blockwise

Real-time image and video foveation transform using PyCUDA