6428 Repositories
Python Neural-Radiance-Fields-Using-PyTorch Libraries
Automation application was made by me using Google, Sheet and Slack APIs with Python.
README This application is used to transfer the data in the xlsx document we have to the Google Drive environment and calculate the "total budget" wit
CUP-DNN is a deep neural network model used to predict tissues of origin for cancers of unknown of primary.
CUP-DNN CUP-DNN is a deep neural network model used to predict tissues of origin for cancers of unknown of primary. The model was trained on the expre
CBREN: Convolutional Neural Networks for Constant Bit Rate Video Quality Enhancement
CBREN This is the Pytorch implementation for our IEEE TCSVT paper : CBREN: Convolutional Neural Networks for Constant Bit Rate Video Quality Enhanceme
Unofficial PyTorch Implementation of Multi-Singer
Multi-Singer Unofficial PyTorch Implementation of Multi-Singer: Fast Multi-Singer Singing Voice Vocoder With A Large-Scale Corpus. Requirements See re
Use Jax functions in Pytorch with DLPack
Use Jax functions in Pytorch with DLPack
This is the official source code for SLATE. We provide the code for the model, the training code, and a dataset loader for the 3D Shapes dataset. This code is implemented in Pytorch.
SLATE This is the official source code for SLATE. We provide the code for the model, the training code and a dataset loader for the 3D Shapes dataset.
A PyTorch-based library for fast prototyping and sharing of deep neural network models.
A PyTorch-based library for fast prototyping and sharing of deep neural network models.
Lima is an alternative to using Docker Desktop on your Mac.
lima-xbar-plugin Table of Contents Description Installation Dependencies Lima is an alternative to using Docker Desktop on your Mac. Description This
Estimating Example Difficulty using Variance of Gradients
Estimating Example Difficulty using Variance of Gradients This repository contains source code necessary to reproduce some of the main results in the
Official PyTorch implementation of the paper Image-Based CLIP-Guided Essence Transfer.
TargetCLIP- official pytorch implementation of the paper Image-Based CLIP-Guided Essence Transfer This repository finds a global direction in StyleGAN
Pytorch implementation of Implicit Behavior Cloning.
Implicit Behavior Cloning - PyTorch (wip) Pytorch implementation of Implicit Behavior Cloning. Install conda create -n ibc python=3.8 pip install -r r
PyTorch Implementation of ByteDance's Cross-speaker Emotion Transfer Based on Speaker Condition Layer Normalization and Semi-Supervised Training in Text-To-Speech
Cross-Speaker-Emotion-Transfer - PyTorch Implementation PyTorch Implementation of ByteDance's Cross-speaker Emotion Transfer Based on Speaker Conditio
Dynamic Neural Representational Decoders for High-Resolution Semantic Segmentation
Dynamic Neural Representational Decoders for High-Resolution Semantic Segmentation Requirements This repository needs mmsegmentation Training To train
pytorch implementation of the ICCV'21 paper "MVTN: Multi-View Transformation Network for 3D Shape Recognition"
MVTN: Multi-View Transformation Network for 3D Shape Recognition (ICCV 2021) By Abdullah Hamdi, Silvio Giancola, Bernard Ghanem Paper | Video | Tutori
PyTorch Code for NeurIPS 2021 paper Anti-Backdoor Learning: Training Clean Models on Poisoned Data.
Anti-Backdoor Learning PyTorch Code for NeurIPS 2021 paper Anti-Backdoor Learning: Training Clean Models on Poisoned Data. Check the unlearning effect
Implementation of RegretNet with Pytorch
Dependencies are Python 3, a recent PyTorch, numpy/scipy, tqdm, future and tensorboard. Plotting with Matplotlib. Implementation of the neural network
PyTorch implementation of MSBG hearing loss model and MBSTOI intelligibility metric
PyTorch implementation of MSBG hearing loss model and MBSTOI intelligibility metric This repository contains the implementation of MSBG hearing loss m
A little Python application to auto tag your photos with the power of machine learning.
Tag Machine A little Python application to auto tag your photos with the power of machine learning. Report a bug or request a feature Table of Content
Software to help automate collecting crowdsourced annotations using Mechanical Turk.
Video Crowdsourcing Software to help automate collecting crowdsourced annotations using Mechanical Turk. The goal of this project is to enable crowdso
Implementation of Enformer, Deepmind's attention network for predicting gene expression, in Pytorch
Enformer - Pytorch (wip) Implementation of Enformer, Deepmind's attention network for predicting gene expression, in Pytorch. The original tensorflow
Trains an OpenNMT PyTorch model and SentencePiece tokenizer.
Trains an OpenNMT PyTorch model and SentencePiece tokenizer. Designed for use with Argos Translate and LibreTranslate.
Convolutional neural network web app trained to track our infant’s sleep schedule using our Google Nest camera.
Machine Learning Sleep Schedule Tracker What is it? Convolutional neural network web app trained to track our infant’s sleep schedule using our Google
Pyrin is an application framework built on top of Flask micro-framework to make life easier for developers who want to develop an enterprise application using Flask
Pyrin A rich, fast, performant and easy to use application framework to build apps using Flask on top of it. Pyrin is an application framework built o
Neo4j Movies Example application with Flask backend using the neo4j-python-driver
Neo4j Movies Application: Quick Start This example application demonstrates how easy it is to get started with Neo4j in Python. It is a very simple we
Official PyTorch implementation of "Improving Face Recognition with Large AgeGaps by Learning to Distinguish Children" (BMVC 2021)
Inter-Prototype (BMVC 2021): Official Project Webpage This repository provides the official PyTorch implementation of the following paper: Improving F
Official implementation of "Learning Proposals for Practical Energy-Based Regression", 2021.
ebms_proposals Official implementation (PyTorch) of the paper: Learning Proposals for Practical Energy-Based Regression, 2021 [arXiv] [project]. Fredr
Segmentation models with pretrained backbones. PyTorch.
Python library with Neural Networks for Image Segmentation based on PyTorch. The main features of this library are: High level API (just two lines to
PyTorch framework for Deep Learning research and development.
Accelerated DL & RL PyTorch framework for Deep Learning research and development. It was developed with a focus on reproducibility, fast experimentati
95.47% on CIFAR10 with PyTorch
Train CIFAR10 with PyTorch I'm playing with PyTorch on the CIFAR10 dataset. Prerequisites Python 3.6+ PyTorch 1.0+ Training # Start training with: py
Classifying cat and dog images using Kaggle dataset
PyTorch Image Classification Classifies an image as containing either a dog or a cat (using Kaggle's public dataset), but could easily be extended to
PyTorch implementation of Convolutional Neural Fabrics http://arxiv.org/abs/1606.02492
PyTorch implementation of Convolutional Neural Fabrics arxiv:1606.02492 There are some minor differences: The raw image is first convolved, to obtain
Very Deep Convolutional Networks for Large-Scale Image Recognition
pytorch-vgg Some scripts to convert the VGG-16 and VGG-19 models [1] from Caffe to PyTorch. The converted models can be used with the PyTorch model zo
an implementation of Video Frame Interpolation via Adaptive Separable Convolution using PyTorch
This work has now been superseded by: https://github.com/sniklaus/revisiting-sepconv sepconv-slomo This is a reference implementation of Video Frame I
Convolutional Recurrent Neural Network (CRNN) for image-based sequence recognition.
Convolutional Recurrent Neural Network This software implements the Convolutional Recurrent Neural Network (CRNN), a combination of CNN, RNN and CTC l
Training Very Deep Neural Networks Without Skip-Connections
DiracNets v2 update (January 2018): The code was updated for DiracNets-v2 in which we removed NCReLU by adding per-channel a and b multipliers without
PyTorch and Tensorflow functional model definitions
functional-zoo Model definitions and pretrained weights for PyTorch and Tensorflow PyTorch, unlike lua torch, has autograd in it's core, so using modu
PyTorch code for the "Deep Neural Networks with Box Convolutions" paper
Box Convolution Layer for ConvNets Single-box-conv network (from `examples/mnist.py`) learns patterns on MNIST What This Is This is a PyTorch implemen
PyTorch implementation of Octave Convolution with pre-trained Oct-ResNet and Oct-MobileNet models
octconv.pytorch PyTorch implementation of Octave Convolution in Drop an Octave: Reducing Spatial Redundancy in Convolutional Neural Networks with Octa
Convolutional Neural Network for 3D meshes in PyTorch
MeshCNN in PyTorch SIGGRAPH 2019 [Paper] [Project Page] MeshCNN is a general-purpose deep neural network for 3D triangular meshes, which can be used f
A Pytorch implementation of "LegoNet: Efficient Convolutional Neural Networks with Lego Filters" (ICML 2019).
LegoNet This code is the implementation of ICML2019 paper LegoNet: Efficient Convolutional Neural Networks with Lego Filters Run python train.py You c
An app made in Python using the PyTube and Tkinter libraries to download videos and MP3 audio.
yt-dl (GUI Edition) An app made in Python using the PyTube and Tkinter libraries to download videos and MP3 audio. How do I download this? Windows: Fi
PyTorch implementation of the implicit Q-learning algorithm (IQL)
Implicit-Q-Learning (IQL) PyTorch implementation of the implicit Q-learning algorithm IQL (Paper) Currently only implemented for online learning. Offl
A Pygame application which generates mazes using randomized DFS (Depth-First-Search)
Maze-Generator-with-Randomized-DFS A Pygame application which generates mazes using randomized DFS (Depth-First-Search)-(Iterative implementation). Ra
This will help to read QR codes using Raspberry Pi and Pi Camera
Raspberry-Pi-Generate-and-Read-QR-code This will help to read QR codes using Raspberry Pi and Pi Camera Install the required libraries first in your T
Official PyTorch code for the paper: "Point-Based Modeling of Human Clothing" (ICCV 2021)
Point-Based Modeling of Human Clothing Paper | Project page | Video This is an official PyTorch code repository of the paper "Point-Based Modeling of
Video Instance Segmentation using Inter-Frame Communication Transformers (NeurIPS 2021)
Video Instance Segmentation using Inter-Frame Communication Transformers (NeurIPS 2021) Paper Video Instance Segmentation using Inter-Frame Communicat
Adaptive, interpretable wavelets across domains (NeurIPS 2021)
Adaptive wavelets Wavelets which adapt given data (and optionally a pre-trained model). This yields models which are faster, more compressible, and mo
PyTorch Implementation of Unsupervised Depth Completion with Calibrated Backprojection Layers (ORAL, ICCV 2021)
Unsupervised Depth Completion with Calibrated Backprojection Layers PyTorch implementation of Unsupervised Depth Completion with Calibrated Backprojec
Example Of Fine-Tuning BERT For Named-Entity Recognition Task And Preparing For Cloud Deployment Using Flask, React, And Docker
Example Of Fine-Tuning BERT For Named-Entity Recognition Task And Preparing For Cloud Deployment Using Flask, React, And Docker This repository contai
Warren - Stock Price Predictor
Web app to predict closing stock prices in real time using Facebook's Prophet time series algorithm with a multi-variate, single-step time series forecasting strategy.
URL Shortener in Flask - Web service using Flask framework for Shortener URLs
URL Shortener in Flask Web service using Flask framework for Shortener URLs Install Create Virtual env $ python3 -m venv env Install requirements.txt
Otter is framework for creating microservices in Flask like fassion using RPC communication via message queue.
Otter Framework for microservices. Overview Otter is framework for creating microservices in Flask like fassion using RPC communication via message qu
Official PyTorch implementation of "Improving Face Recognition with Large AgeGaps by Learning to Distinguish Children" (BMVC 2021)
Inter-Prototype (BMVC 2021): Official Project Webpage This repository provides the official PyTorch implementation of the following paper: Improving F
A pixeldrain python package using pixeldrain official api
Made with Python3 (C) @FayasNoushad Copyright permission under MIT License License - https://github.com/FayasNoushad/Pixeldrain/blob/main/LICENSE In
This project helps to colorize grayscale images using multiple exemplars.
Multiple Exemplar-based Deep Colorization (Pytorch Implementation) Pretrained Model [Jitendra Chautharia](IIT Jodhpur)1,3, Prerequisites Python 3.6+ N
This is a telegram bot built using the Oxford Dictionary API
Oxford Dictionaries Telegram Bot This is a telegram bot built using the Oxford Dictionary API Source: Oxford Dictionaries API Documentation Install En
my graduation project is about live human face augmentation by projection mapping by using CNN
Live-human-face-expression-augmentation-by-projection my graduation project is about live human face augmentation by projection mapping by using CNN o
Python script for converting .json to .md files using Mako templates.
Install Just install poetry and update script dependencies Usage Put your settings in settings.py and .json data (optionally, with attachments) in dat
A lightweight library to compare different PyTorch implementations of the same network architecture.
TorchBug is a lightweight library designed to compare two PyTorch implementations of the same network architecture. It allows you to count, and compar
This is a simple item2vec implementation using gensim for recbole
recbole-item2vec-model This is a simple item2vec implementation using gensim for recbole( https://recbole.io ) Usage When you want to run experiment f
Script that receives an Image (original) and a set of images to be used as "pixels" in reconstruction of the Original image using the set of images as "pixels"
picinpics Script that receives an Image (original) and a set of images to be used as "pixels" in reconstruction of the Original image using the set of
PyTorch to TensorFlow Lite converter
PyTorch to TensorFlow Lite converter
PyTorch Implementation of Unsupervised Depth Completion with Calibrated Backprojection Layers (ORAL, ICCV 2021)
PyTorch Implementation of Unsupervised Depth Completion with Calibrated Backprojection Layers (ORAL, ICCV 2021)
High-fidelity performance metrics for generative models in PyTorch
High-fidelity performance metrics for generative models in PyTorch
A simple trivia quizzz web app made using django
Trivia Quizzz A simple trivia quizzz web app made using django Demo http://triviaquizzz.herokuapp.com/ & https://triviaquiz.redcrypt.xyz Features Goog
Alarm Control Panel component for Zigbee Keypads using action_transaction field
hass_transaction_alarm_panel Alarm Control Panel component for Zigbee Keypads using action_transaction field. Works together with zigbee2mqtt Supporte
A simple password generator using Python Tkinter.
Password-Generator-using-Python A simple password generator that generates password for you. User can Copy the password to Clipboard. Project made usi
A python package that allows you to place automated trades using the TD Ameritrade API.
Template Repo Table of Contents Overview Setup Usage Support These Projects Overview Setup Setup - Requirements Install:* For this particular project,
Pytorch implementation of the paper Progressive Growing of Points with Tree-structured Generators (BMVC 2021)
PGpoints Pytorch implementation of the paper Progressive Growing of Points with Tree-structured Generators (BMVC 2021) Hyeontae Son, Young Min Kim Pre
External Network Pentest Automation using Shodan API and other tools.
Chopin External Network Pentest Automation using Shodan API and other tools. Workflow Input a file containing CIDR ranges. Converts CIDR ranges to ind
GPU-accelerated image processing using cupy and CUDA
napari-cupy-image-processing GPU-accelerated image processing using cupy and CUDA This napari plugin was generated with Cookiecutter using with @napar
This is simply repo for line drawing rendering using freestyle in Blender.
blender_freestyle_line_drawing This is simply repo for line drawing rendering using freestyle in Blender. how to use blender2935 --background --python
Yolov3 pytorch implementation
YOLOV3 Pytorch实现 在bubbliiing大佬代码的基础上进行了修改,添加了部分注释。 预训练模型 预训练模型来源于bubbliiing。 链接:https://pan.baidu.com/s/1ncREw6Na9ycZptdxiVMApw 提取码:appk 训练自己的数据集 按照VO
Python Screen Recorder using Python
PY-Screen-Recorder Python Screen Recorder using Python Requirement: pip install cv2 pip install pyautogui pip install numpy How to reach me? You can r
Facilitates implementing deep neural-network backbones, data augmentations
Introduction Nowadays, the training of Deep Learning models is fragmented and unified. When AI engineers face up with one specific task, the common wa
Python module for drawing and rendering beautiful atoms and molecules using Blender.
Batoms is a Python package for editing and rendering atoms and molecules objects using blender. A Python interface that allows for automating workflows.
Official implementation for the paper: "Multi-label Classification with Partial Annotations using Class-aware Selective Loss"
Multi-label Classification with Partial Annotations using Class-aware Selective Loss Paper | Pretrained models Official PyTorch Implementation Emanuel
[NeurIPS2021] Exploring Architectural Ingredients of Adversarially Robust Deep Neural Networks
Exploring Architectural Ingredients of Adversarially Robust Deep Neural Networks Code for NeurIPS 2021 Paper "Exploring Architectural Ingredients of A
Meta graph convolutional neural network-assisted resilient swarm communications
Resilient UAV Swarm Communications with Graph Convolutional Neural Network This repository contains the source codes of Resilient UAV Swarm Communicat
A simple Blog Using Django Framework and Used IBM Cloud Services for Text Analysis and Text to Speech
ElhamBlog Cloud Computing Course first assignment. A simple Blog Using Django Framework and Used IBM Cloud Services for Text Analysis and Text to Spee
Backup a folder to an another folder by using mirror update method.
Mirror Update Backup Backup a folder to an another folder by using mirror update method. How to use Install requirement pip install -r requirements.tx
Neural Lexicon Reader: Reduce Pronunciation Errors in End-to-end TTS by Leveraging External Textual Knowledge
Neural Lexicon Reader: Reduce Pronunciation Errors in End-to-end TTS by Leveraging External Textual Knowledge This is an implementation of the paper,
BERT model training impelmentation using 1024 A100 GPUs for MLPerf Training v1.1
Pre-trained checkpoint and bert config json file Location of checkpoint and bert config json file This MLCommons members Google Drive location contain
it's a Django application to register and authenticate users using phone number.
django-phone-auth It's a Django application to register and authenticate users using phone number. CustomUser model created using AbstractUser class.
Cave Generation using metaballs in Blender. Originally created by sdfgeoff, Edited by Myself (Archie Jaskowicz).
Blender-Cave-Generation Cave Generation using metaballs in Blender. Originally created by sdfgeoff, Edited by Myself (Archie Jaskowicz). Installation
An End-to-End Trainable Neural Network for Image-based Sequence Recognition and Its Application to Scene Text Recognition
CRNN paper:An End-to-End Trainable Neural Network for Image-based Sequence Recognition and Its Application to Scene Text Recognition 1. create your ow
使用yolov5训练自己数据集(详细过程)并通过flask部署
使用yolov5训练自己的数据集(详细过程)并通过flask部署 依赖库 torch torchvision numpy opencv-python lxml tqdm flask pillow tensorboard matplotlib pycocotools Windows,请使用 pycoc
A simple example using Flask inside a container
This is a simple example of how create a container for a Python Flask Web Application using Docker.
API with high performance to create a simple blog and Auth using OAuth2 ⛏
DogeAPI API with high performance built with FastAPI & SQLAlchemy, help to improve connection with your Backend Side to create a simple blog and Cruds
A FastAPI Plug-In to support authentication authorization using the Microsoft Authentication Library (MSAL)
FastAPI/MSAL - MSAL (Microsoft Authentication Library) plugin for FastAPI FastAPI - https://github.com/tiangolo/fastapi FastAPI is a modern, fast (hig
A full Rest-API With Oauth2 and JWT for request & response a JSON file Using FastAPI and SQLAlchemy 🔑
Pexon-Rest-API A full Rest-API for request & response a JSON file, Building a Simple WorkFlow that help you to Request a JSON File Format and Handling
LuSyringe is a documentation injection tool for your classes when using Fast API
LuSyringe LuSyringe is a documentation injection tool for your classes when using Fast API Benefits The main benefit is being able to separate your bu
This is REST-API for Indonesian Text Summarization using Non-Negative Matrix Factorization for the algorithm to summarize documents and FastAPI for the framework.
Indonesian Text Summarization Using FastAPI This is REST-API for Indonesian Text Summarization using Non-Negative Matrix Factorization for the algorit
For auto aligning, cropping, and scaling HR and LR images for training image based neural networks
ImgAlign For auto aligning, cropping, and scaling HR and LR images for training image based neural networks Usage Make sure OpenCV is installed, 'pip
I made this so I can control my Tapo L510 light bulb and Govee H6159 light strip using the PyP100 module and the Govee public API
TAPO-And-Govee-Controller I made this so I can control my Tapo L510 light bulb and Govee H6159 light strip using the PyP100 module and the Govee publi
raspberry pi servo control using pca9685
RPi_servo-control_pca9685 raspberry pi 180° servo control using pca9685 Requirements Requires you to have the adafruit servokit library installed You
program to store and update pokemons using SQL and Flask
Pokemon SQL and Flask Pokemons api in python. Technologies flask pymysql Description PokeCorp is a company that tracks pokemon and their trainers arou
Network Enhancement implementation in pytorch
network_enahncement_pytorch Network Enhancement implementation in pytorch Research paper Network Enhancement: a general method to denoise weighted bio
Optimal Adaptive Allocation using Deep Reinforcement Learning in a Dose-Response Study
Optimal Adaptive Allocation using Deep Reinforcement Learning in a Dose-Response Study Supplementary Materials for Kentaro Matsuura, Junya Honda, Imad