overbestfitting

3D_RP-Net

ABSA-PyTorch

Aspect Based Sentiment Analysis, PyTorch Implementations. 基于方面的情感分析，使用PyTorch实现。

AlgorithmsAndDataStructuresInAction

Advanced Data Structures Implementation

ibot

iBOT: Image BERT Pre-Training with Online Tokenizer

UA-MT

code for MICCAI 2019 paper 'Uncertainty-aware Self-ensembling Model for Semi-supervised 3D Left Atrium Segmentation'.

unsuper

Some unsupervised algorithms

vid2vid

Pytorch implementation of our method for high-resolution (e.g. 2048x1024) photorealistic video-to-video translation.

ViLT

Code for the ICML 2021 (long talk) paper: "ViLT: Vision-and-Language Transformer Without Convolution or Region Supervision"

VST

source code of “Visual Saliency Transformer” (ICCV2021)

wassdistance

Approximating Wasserstein distances with PyTorch

overbestfitting/AlgorithmsAndDataStructuresInAction

Advanced Data Structures Implementation

overbestfitting/Alpaca-CoT

We extend CoT data to Alpaca to boost its reasoning ability. We are constantly expanding our collection of instruction-tuning data. The instruction collection can be found at https://huggingface.co/datasets/QingyiSi/Alpaca-CoT/tree/main （我们将CoT数据扩展到Alpaca以提高其推理能力，同时我们将不断收集更多的instruction-tuning数据集。）

overbestfitting/can

PyTorch reimplementation of "A simple, efficient and scalable contrastive masked autoencoder for learning visual representations".

overbestfitting/CCD

[ACCV2022](What Role Does Data Augmentation Play in Knowledge Distillation ?) This repoditory is about the analysis of JDA and the implementation of CCD

overbestfitting/ChatDoctor

overbestfitting/CodeBase

This repository is used to provide a code base for PyTorch-based training framework

overbestfitting/Cold-Diffusion-Models

Official implementation of Cold-Diffusion for different transformations in pytorch.

overbestfitting/ColossalAI

Making large AI models cheaper, faster and more accessible

overbestfitting/CSDI

Codes for "CSDI: Conditional Score-based Diffusion Models for Probabilistic Time Series Imputation"

overbestfitting/dbot

Exploring Target Representations for Masked Autoencoders

overbestfitting/dcm2niix

dcm2nii DICOM to NIfTI converter: compiled versions available from NITRC

overbestfitting/decoder-denoising

Pytorch reimplementation of Decoder Denoising Pretraining for Semantic Segmentation

overbestfitting/dicom2nifti

overbestfitting/DifFace

DifFace: Blind Face Restoration with Diffused Error Contraction (PyTorch)

overbestfitting/DiffuseMorph

overbestfitting/diffusers

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

overbestfitting/dpm-solver

Official code for "DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps" (Neurips 2022 Oral)

overbestfitting/EVA

Exploring the Limits of Masked Visual Representation Learning at Scale (https://arxiv.org/abs/2211.07636)

overbestfitting/InternImage

overbestfitting/llama

Inference code for LLaMA models

overbestfitting/LMFlow

An Extensible Toolkit for Finetuning and Inference of Large Foundation Models

overbestfitting/Megatron-DeepSpeed

Ongoing research training transformer language models at scale, including: BERT & GPT-2

overbestfitting/Neighborhood-Attention-Transformer

Official NAT (Neighborhood Attention Transformer) and DiNAT (Dilated Neighborhood Attention Transformer) repository.

overbestfitting/SMIT

Self distilled masked transformer based segmentor used in MICCAI 2022 paper by Jiang J, ... Veeraraghavan H et.al

overbestfitting/stable-diffusion

A latent text-to-image diffusion model

overbestfitting/SynDiff

Official PyTorch implementation of SynDiff described in the paper (https://arxiv.org/abs/2207.08208).

overbestfitting/TFCNs

This repository includes the official project of TFCNs, presented in our paper: TFCNs: A CNN-Transformer Hybrid Network for Medical Image Segmentation

overbestfitting/transformer

PyTorch Implementation of "Attention Is All You Need"

overbestfitting/unleashing-transformers

Code for the ECCV 2022 paper "Unleashing Transformers"

overbestfitting/vit-pytorch

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch