5042 Repositories
Python Pytorch-Simple-Transformer Libraries
A general python framework for visual object tracking and video object segmentation, based on PyTorch
PyTracking A general python framework for visual object tracking and video object segmentation, based on PyTorch. 📣 Two tracking/VOS papers accepted
Full Transformer Framework for Robust Point Cloud Registration with Deep Information Interaction
Full Transformer Framework for Robust Point Cloud Registration with Deep Information Interaction. arxiv This repository contains python scripts for tr
TransZero++: Cross Attribute-guided Transformer for Zero-Shot Learning
TransZero++ This repository contains the testing code for the paper "TransZero++: Cross Attribute-guided Transformer for Zero-Shot Learning" submitted
TransVTSpotter: End-to-end Video Text Spotter with Transformer
TransVTSpotter: End-to-end Video Text Spotter with Transformer Introduction A Multilingual, Open World Video Text Dataset and End-to-end Video Text Sp
Local-Global Stratified Transformer for Efficient Video Recognition
DualFormer This repo is the implementation of our manuscript entitled "Local-Global Stratified Transformer for Efficient Video Recognition". Our model
Tree Nested PyTorch Tensor Lib
DI-treetensor treetensor is a generalized tree-based tensor structure mainly developed by OpenDILab Contributors. Almost all the operation can be supp
MADT: Offline Pre-trained Multi-Agent Decision Transformer
MADT: Offline Pre-trained Multi-Agent Decision Transformer A link to our paper can be found on Arxiv. Overview Official codebase for Offline Pre-train
The Official PyTorch Implementation of "VAEBM: A Symbiosis between Variational Autoencoders and Energy-based Models" (ICLR 2021 spotlight paper)
Official PyTorch implementation of "VAEBM: A Symbiosis between Variational Autoencoders and Energy-based Models" (ICLR 2021 Spotlight Paper) Zhisheng
Author's PyTorch implementation of TD3 for OpenAI gym tasks
Addressing Function Approximation Error in Actor-Critic Methods PyTorch implementation of Twin Delayed Deep Deterministic Policy Gradients (TD3). If y
PyTorch implementation of image classification models for CIFAR-10/CIFAR-100/MNIST/FashionMNIST/Kuzushiji-MNIST/ImageNet
PyTorch Image Classification Following papers are implemented using PyTorch. ResNet (1512.03385) ResNet-preact (1603.05027) WRN (1605.07146) DenseNet
TART - A PyTorch implementation for Transition Matrix Representation of Trees with Transposed Convolutions
TART This project is a PyTorch implementation for Transition Matrix Representati
Generates a simple report about the current Covid-19 cases and deaths in Malaysia
Generates a simple report about the current Covid-19 cases and deaths in Malaysia. Results are delay one day, data provided by the Ministry of Health Malaysia Covid-19 public data.
A Python wrapper for simple offline real-time dictation (speech-to-text) and speaker-recognition using Vosk.
Simple-Vosk A Python wrapper for simple offline real-time dictation (speech-to-text) and speaker-recognition using Vosk. Check out the official Vosk G
Wordle-solver - A program that solves a Wordle using a simple algorithm
Wordle Solver A program that solves a Wordle using a simple algorithm. To see it
🚀 PyTorch Implementation of "Progressive Distillation for Fast Sampling of Diffusion Models(v-diffusion)"
PyTorch Implementation of "Progressive Distillation for Fast Sampling of Diffusion Models(v-diffusion)" Unofficial PyTorch Implementation of Progressi
A simple healthcheck wrapper to monitor Kafka.
kafka-healthcheck A simple healthcheck wrapper to monitor Kafka. Kafka Healthcheck is a simple server that provides a singular API endpoint to determi
Simple Covid-19 shooter game in python.
Covid_game 🍹 Simple Single Player Covid Game Using Python. 🍹 Has amazing background music theme. 😄 Game Instructions: Initial Health is 5, try to s
A Next Generation ConvNet by FaceBookResearch Implementation in PyTorch(Original) and TensorFlow.
ConvNeXt A Next Generation ConvNet by FaceBookResearch Implementation in PyTorch(Original) and TensorFlow. A FacebookResearch Implementation on A Conv
A simple script useful to switch from Dashlane to Bitwarden by converting the password file to the right format.
A simple script useful to switch from Dashlane to Bitwarden by converting the password file to the right format.
A simple CLI tool for converting logs from Poker Now games to other formats
🂡 Poker Now Log Converter 🂡 A command line utility for converting logs from Poker Now games to other formats. Introduction Poker Now is a free onlin
This simple Python program calculates a love score based on your and your crush's full names in English
This simple Python program calculates a love score based on your and your crush's full names in English. There is no logic or reason in the calculation behind the love score. The calculation could have been anything different from what's shown in this code.
Plot toolbox based on Matplotlib, simple and elegant.
Elegant-Plot Plot toolbox based on Matplotlib, simple and elegant. 绘制效果 绘制过程 数据准备 每种图标类型的目录下有data.csv文件,依据样例数据填入自己的数据。
A sample pytorch Implementation of ACL 2021 research paper "Learning Span-Level Interactions for Aspect Sentiment Triplet Extraction".
Span-ASTE-Pytorch This repository is a pytorch version that implements Ali's ACL 2021 research paper Learning Span-Level Interactions for Aspect Senti
Implementation of "With a Little Help from my Temporal Context: Multimodal Egocentric Action Recognition, BMVC, 2021" in PyTorch
Multimodal Temporal Context Network (MTCN) This repository implements the model proposed in the paper: Evangelos Kazakos, Jaesung Huh, Arsha Nagrani,
Code for paper: Towards Tokenized Human Dynamics Representation
Video Tokneization Codebase for video tokenization, based on our paper Towards Tokenized Human Dynamics Representation. Prerequisites (tested under Py
A PyTorch implementation of VIOLET
VIOLET: End-to-End Video-Language Transformers with Masked Visual-token Modeling A PyTorch implementation of VIOLET Overview VIOLET is an implementati
The official code for “DocTr: Document Image Transformer for Geometric Unwarping and Illumination Correction”, ACM MM, Oral Paper, 2021.
Good news! Our new work exhibits state-of-the-art performances on DocUNet benchmark dataset: DocScanner: Robust Document Image Rectification with Prog
[BMVC2021] "TransFusion: Cross-view Fusion with Transformer for 3D Human Pose Estimation"
TransFusion-Pose TransFusion: Cross-view Fusion with Transformer for 3D Human Pose Estimation Haoyu Ma, Liangjian Chen, Deying Kong, Zhe Wang, Xingwei
Neural Cellular Automata + CLIP
🧠 Text-2-Cellular Automata Using Neural Cellular Automata + OpenAI CLIP (Work in progress) Examples Text Prompt: Cthulu is watching cthulu_is_watchin
This repository contains demos I made with the Transformers library by HuggingFace.
Transformers-Tutorials Hi there! This repository contains demos I made with the Transformers library by 🤗 HuggingFace. Currently, all of them are imp
BiliBili-live-barrage-transceiver - A simple python program for sending and receiving barrage in bilibili live room
BiliBili-live-barrage-transceiver - A simple python program for sending and receiving barrage in bilibili live room
Evil-stalker - A simple tool written in python, it is so simple that it is based on google dorks
evil-stalker How to run First of all, you must install the necessary libraries.
Simple mathematical operations on image, point and surface layers.
napari-math This package provides a GUI interfrace for simple mathematical operations on image, point and surface layers. addition subtraction multipl
The original weights of some Caffe models, ported to PyTorch.
pytorch-caffe-models This repo contains the original weights of some Caffe models, ported to PyTorch. Currently there are: GoogLeNet (Going Deeper wit
A simple API that will return a key-value pair of randomly generated UUID
A simple API that will return a key-value pair of randomly generated UUID. Key will be a timestamp and value will be UUID. While the server is running, whenever the API is called, it should return all the previous UUIDs ever generated by the API alongside a new UUID.
Simple Discord Nuke Bot.
Discord-Nuke-Bot Simple Discord Nuke Bot. Simple Discord Nuke Bot Python 3.6 - 3.8 Features Delete Channels Ban All Members Delete Roles Create Channe
Free & simple way to encipher text
VenSipher VenSipher is a free medium through which text can be enciphered. It can convert any text into an unrecognizable secret text that can only be
Simple function to plot multiple barplots in the same figure.
Simple function to plot multiple barplots in the same figure. Supports padding and custom color.
A simple and usefull python calculator.
simplepy-calculator Your simple and fresh calculator. Getting Started Install python3 from the oficial python website or via terminal. Clone this repo
A simple tcpdump sidecar injector to demonstrate Kubernetes's Mutating Webhook
k8s-tcpdump-webhook A simple tcpdump sidecar injector to demonstrate Kubernetes's Mutating Webhook Build and Deploy Build docker image; docker build -
A simple serverless create api test repository. Please Ignore.
serverless-create-api-test A simple serverless create api test repository. Please Ignore. Things to remember: Setup workflow Change Name in workflow e
Animal Sound Classification (Cats Vrs Dogs Audio Sentiment Classification)
this is a simple artificial neural network model using deep learning and torch-audio to classify cats and dog sounds.
ParaGen is a PyTorch deep learning framework for parallel sequence generation
ParaGen is a PyTorch deep learning framework for parallel sequence generation. Apart from sequence generation, ParaGen also enhances various NLP tasks, including sequence-level classification, extraction and generation.
PyGRANSO: A PyTorch-enabled port of GRANSO with auto-differentiation
PyGRANSO PyGRANSO: A PyTorch-enabled port of GRANSO with auto-differentiation Please check https://ncvx.org/PyGRANSO for detailed instructions (introd
Deep Learning for Time Series Forecasting.
nixtlats:Deep Learning for Time Series Forecasting [nikstla] (noun, nahuatl) Period of time. State-of-the-art time series forecasting for pytorch. Nix
Unofficial PyTorch Implementation of "Augmenting Convolutional networks with attention-based aggregation"
Pytorch Implementation of Augmenting Convolutional networks with attention-based aggregation This is the unofficial PyTorch Implementation of "Augment
Cross-modal Retrieval using Transformer Encoder Reasoning Networks (TERN). With use of Metric Learning and FAISS for fast similarity search on GPU
Cross-modal Retrieval using Transformer Encoder Reasoning Networks This project reimplements the idea from "Transformer Reasoning Network for Image-Te
LibMTL: A PyTorch Library for Multi-Task Learning
LibMTL LibMTL is an open-source library built on PyTorch for Multi-Task Learning (MTL). See the latest documentation for detailed introductions and AP
A reimplementation of DCGAN in PyTorch
DCGAN in PyTorch A reimplementation of DCGAN in PyTorch. Although there is an abundant source of code and examples found online (as well as an officia
Yesitsme - Simple OSINT script to find Instagram profiles by name and e-mail/phone
Simple OSINT script to find Instagram profiles by name and e-mail/phone
AutoMetamon: Simple program to play Metamon automatically
AutoMetamon: Simple program to play Metamon automatically
Official implementation of "UCTransNet: Rethinking the Skip Connections in U-Net from a Channel-wise Perspective with Transformer"
[AAAI2022] UCTransNet This repo is the official implementation of "UCTransNet: Rethinking the Skip Connections in U-Net from a Channel-wise Perspectiv
[ACM MM 2021] Multiview Detection with Shadow Transformer (and View-Coherent Data Augmentation)
Multiview Detection with Shadow Transformer (and View-Coherent Data Augmentation) [arXiv] [paper] @inproceedings{hou2021multiview, title={Multiview
Unifying Global-Local Representations in Salient Object Detection with Transformer
GLSTR (Global-Local Saliency Transformer) This is the official implementation of paper "Unifying Global-Local Representations in Salient Object Detect
Official PyTorch Implementation of paper EAN: Event Adaptive Network for Efficient Action Recognition
Official PyTorch Implementation of paper EAN: Event Adaptive Network for Efficient Action Recognition
This is a code repository for paper OODformer: Out-Of-Distribution Detection Transformer
OODformer: Out-Of-Distribution Detection Transformer This repo is the official the implementation of the OODformer: Out-Of-Distribution Detection Tran
Image Fusion Transformer
Image-Fusion-Transformer Platform Python 3.7 Pytorch =1.0 Training Dataset MS-COCO 2014 (T.-Y. Lin, M. Maire, S. Belongie, J. Hays, P. Perona, D. Ram
Official implementation of Sparse Transformer-based Action Recognition
STAR Official implementation of S parse T ransformer-based A ction R ecognition Dataset download NTU RGB+D 60 action recognition of 2D/3D skeleton fro
MlTr: Multi-label Classification with Transformer
MlTr: Multi-label Classification with Transformer This is official implement of "MlTr: Multi-label Classification with Transformer". Abstract The task
Pyramid Pooling Transformer for Scene Understanding
Pyramid Pooling Transformer for Scene Understanding Requirements: torch 1.6+ torchvision 0.7.0 timm==0.3.2 Validated on torch 1.6.0, torchvision 0.7.0
PyTorch code for the NAACL 2021 paper "Improving Generation and Evaluation of Visual Stories via Semantic Consistency"
Improving Generation and Evaluation of Visual Stories via Semantic Consistency PyTorch code for the NAACL 2021 paper "Improving Generation and Evaluat
Pytorch implementation for RelTransformer
RelTransformer Our Architecture This is a Pytorch implementation for RelTransformer The implementation for Evaluating on VG200 can be found here Requi
RETRO-pytorch - Implementation of RETRO, Deepmind's Retrieval based Attention net, in Pytorch
RETRO - Pytorch (wip) Implementation of RETRO, Deepmind's Retrieval based Attent
An official PyTorch Implementation of Boundary-aware Self-supervised Learning for Video Scene Segmentation (BaSSL)
An official PyTorch Implementation of Boundary-aware Self-supervised Learning for Video Scene Segmentation (BaSSL)
Bible-App : Simple Tool To Show Bible Books
Bible App Simple Tool To Show Bible Books Socials: Language:
This package contains a PyTorch Implementation of IB-GAN of the submitted paper in AAAI 2021
The PyTorch implementation of IB-GAN model of AAAI 2021 This package contains a PyTorch implementation of IB-GAN presented in the submitted paper (IB-
A Unified Framework and Analysis for Structured Knowledge Grounding
UnifiedSKG 📚 : Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models Code for paper UnifiedSKG: Unifying and Mu
Pytorch code for "DPFM: Deep Partial Functional Maps" - 3DV 2021 (Oral)
DPFM Code for "DPFM: Deep Partial Functional Maps" - 3DV 2021 (Oral) Installation This implementation runs on python = 3.7, use pip to install depend
Deep learning transformer model that generates unique music sequences.
music-ai Deep learning transformer model that generates unique music sequences. Abstract In 2017, a new state-of-the-art was published for natural lan
Simple encryption/decryption utility using Pycryptodome module. Working with AES and RSA algorithms.
EncypherUtil Simple encryption/decryption utility using PyCryptodome module. Working with AES and RSA algorithms. THIS UTILITY IS NOT LICENSED AS CRYP
Code for my FastAPI tutorial
FastAPI tutorial Code for my video tutorial FastAPI tutorial What is FastAPI? FastAPI is a high-performant REST API framework for Python. It's built o
Implement of "Training deep neural networks via direct loss minimization" in PyTorch for 0-1 loss
This is the implementation of "Training deep neural networks via direct loss minimization" published at ICML 2016 in PyTorch. The implementation targe
Cupytorch - A small framework mimics PyTorch using CuPy or NumPy
CuPyTorch CuPyTorch是一个小型PyTorch,名字来源于: 不同于已有的几个使用NumPy实现PyTorch的开源项目,本项目通过CuPy支持
Workon - A simple project manager for conda, windows 10 and vscode
WORK ON A simple project manager for conda, windows 10 and vscode Installation p
PyTorch implementation of Higher Order Recurrent Space-Time Transformer
Higher Order Recurrent Space-Time Transformer (HORST) This is the official PyTorch implementation of Higher Order Recurrent Space-Time Transformer. Th
Pytorch implementation of Decoupled Spatial-Temporal Transformer for Video Inpainting
Decoupled Spatial-Temporal Transformer for Video Inpainting By Rui Liu, Hanming Deng, Yangyi Huang, Xiaoyu Shi, Lewei Lu, Wenxiu Sun, Xiaogang Wang, J
Official PyTorch Implementation of "AgentFormer: Agent-Aware Transformers for Socio-Temporal Multi-Agent Forecasting".
AgentFormer This repo contains the official implementation of our paper: AgentFormer: Agent-Aware Transformers for Socio-Temporal Multi-Agent Forecast
Single-Shot Motion Completion with Transformer
Single-Shot Motion Completion with Transformer 👉 [Preprint] 👈 Abstract Motion completion is a challenging and long-discussed problem, which is of gr
"Investigating the Limitations of Transformers with Simple Arithmetic Tasks", 2021
transformers-arithmetic This repository contains the code to reproduce the experiments from the paper: Nogueira, Jiang, Lin "Investigating the Limitat
[ICCV 2021] Relaxed Transformer Decoders for Direct Action Proposal Generation
RTD-Net (ICCV 2021) This repo holds the codes of paper: "Relaxed Transformer Decoders for Direct Action Proposal Generation", accepted in ICCV 2021. N
IOT: Instance-wise Layer Reordering for Transformer Structures
Introduction This repository contains the code for Instance-wise Ordered Transformer (IOT), which is introduced in the ICLR2021 paper IOT: Instance-wi
Code and Resources for the Transformer Encoder Reasoning Network (TERN)
Transformer Encoder Reasoning Network Code for the cross-modal visual-linguistic retrieval method from "Transformer Reasoning Network for Image-Text M
Effective Use of Transformer Networks for Entity Tracking
Effective Use of Transformer Networks for Entity Tracking (EMNLP19) This is a PyTorch implementation of our EMNLP paper on the effectiveness of pre-tr
Official PyTorch code for "BAM: Bottleneck Attention Module (BMVC2018)" and "CBAM: Convolutional Block Attention Module (ECCV2018)"
BAM and CBAM Official PyTorch code for "BAM: Bottleneck Attention Module (BMVC2018)" and "CBAM: Convolutional Block Attention Module (ECCV2018)" Updat
Pytorch implementation of set transformer
set_transformer Official PyTorch implementation of the paper Set Transformer: A Framework for Attention-based Permutation-Invariant Neural Networks .
This repository contains an implementation of the Permutohedral Attention Module in Pytorch
Permutohedral_attention_module This repository contains an implementation of the Permutohedral Attention Module
Pytorch implementation of Compressive Transformers, from Deepmind
Compressive Transformer in Pytorch Pytorch implementation of Compressive Transformers, a variant of Transformer-XL with compressed memory for long-ran
Implementation of Axial attention - attending to multi-dimensional data efficiently
Axial Attention Implementation of Axial attention in Pytorch. A simple but powerful technique to attend to multi-dimensional data efficiently. It has
Code repo for "Transformer on a Diet" paper
Transformer on a Diet Reference: C Wang, Z Ye, A Zhang, Z Zhang, A Smola. "Transformer on a Diet". arXiv preprint arXiv (2020). Installation pip insta
Official PyTorch implementation of Time-aware Large Kernel (TaLK) Convolutions (ICML 2020)
Time-aware Large Kernel (TaLK) Convolutions (Lioutas et al., 2020) This repository contains the source code, pre-trained models, as well as instructio
Implementing SYNTHESIZER: Rethinking Self-Attention in Transformer Models using Pytorch
Implementing SYNTHESIZER: Rethinking Self-Attention in Transformer Models using Pytorch Reference Paper URL Author: Yi Tay, Dara Bahri, Donald Metzler
My take on a practical implementation of Linformer for Pytorch.
Linformer Pytorch Implementation A practical implementation of the Linformer paper. This is attention with only linear complexity in n, allowing for v
Implementation of Kronecker Attention in Pytorch
Kronecker Attention Pytorch Implementation of Kronecker Attention in Pytorch. Results look less than stellar, but if someone found some context where
Implementation of Memformer, a Memory-augmented Transformer, in Pytorch
Memformer - Pytorch Implementation of Memformer, a Memory-augmented Transformer, in Pytorch. It includes memory slots, which are updated with attentio
Collects many various multi-modal transformer architectures, including image transformer, video transformer, image-language transformer, video-language transformer and related datasets
The repository collects many various multi-modal transformer architectures, including image transformer, video transformer, image-language transformer, video-language transformer and related datasets. Additionally, it also collects many useful tutorials and tools in these related domains.
🔎 Monitor deep learning model training and hardware usage from your mobile phone 📱
Monitor deep learning model training and hardware usage from mobile. 🔥 Features Monitor running experiments from mobile phone (or laptop) Monitor har
learn python in 100 days, a simple step could be follow from beginner to master of every aspect of python programming and project also include side project which you can use as demo project for your personal portfolio
learn python in 100 days, a simple step could be follow from beginner to master of every aspect of python programming and project also include side project which you can use as demo project for your personal portfolio
📚 A collection of all the Deep Learning Metrics that I came across which are not accuracy/loss.
📚 A collection of all the Deep Learning Metrics that I came across which are not accuracy/loss.
A simple python script where the user inputs the current ingredients they have in their kitchen into ingredients.txt
A simple python script where the user inputs the current ingredients they have in their kitchen into ingredients.txt and then runs the main.py script, and it will output what recipes can be created based upon the ingredients supported.
This repo is about implementing different approaches of pose estimation and also is a sub-task of the smart hospital bed project :smile:
Pose-Estimation This repo is a sub-task of the smart hospital bed project which is about implementing the task of pose estimation 😄 Many thanks to th