2195 Repositories
Python django-model Libraries
Deep learning model for EEG artifact removal
DeepSeparator Introduction Electroencephalogram (EEG) recordings are often contaminated with artifacts. Various methods have been developed to elimina
MEAL V2: Boosting Vanilla ResNet-50 to 80%+ Top-1 Accuracy on ImageNet without Tricks
MEAL-V2 This is the official pytorch implementation of our paper: "MEAL V2: Boosting Vanilla ResNet-50 to 80%+ Top-1 Accuracy on ImageNet without Tric
Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and Jupyter notebook analysis.
sklearn-evaluation Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking, and Jupyter notebook analysis. Suppo
A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.
AI Fairness 360 (AIF360) The AI Fairness 360 toolkit is an extensible open-source library containg techniques developed by the research community to h
Out-of-the-box support register, sign in, email verification and password recovery workflows for websites based on Django and MongoDB
Using djmongoauth What is it? djmongoauth provides out-of-the-box support for basic user management and additional operations including user registrat
English dictionary using Django based on freecodecamp
English Dictionary Hi there, i made this english dictionary using Django based on freecodecamp.org tutorial :) Table of Contents Preview Technologies
A minimal FastAPI implementation for Django !
Caution!!! This project is in early developing stage. So use it at you own risk. Bug reports / Fix PRs are welcomed. Installation pip install django-m
A Chinese to English Neural Model Translation Project
ZH-EN NMT Chinese to English Neural Machine Translation This project is inspired by Stanford's CS224N NMT Project Dataset used in this project: News C
Contra is a lightweight, production ready Tensorflow alternative for solving time series prediction challenges with AI
Contra AI Engine A lightweight, production ready Tensorflow alternative developed by Styvio styvio.com » How to Use · Report Bug · Request Feature Tab
Django Livre Bank
Django Livre Bank Projeto final da academia Construdelas. API de um banco fictÃcio com clientes, contas e transações. Integrantes da equipe Bárbara Sa
AUES Student Management System Developed for laboratory works â„–9 Purpose using Python (Django).
AUES Student Management System (L M S ) AUES Student Management System Developed for laboratory works â„–9 Purpose using Python (Django). I've created t
A project to empower needy-students.
Happy Project 😊 A project to empower needy-students. Happy Project is a non-profit initiation founded by IT people from Jaffna, Sri Lanka. This is to
Diffusion Probabilistic Models for 3D Point Cloud Generation (CVPR 2021)
Diffusion Probabilistic Models for 3D Point Cloud Generation [Paper] [Code] The official code repository for our CVPR 2021 paper "Diffusion Probabilis
Website for D2C paper
D2C This is the repository that contains source code for the D2C Website. If you find D2C useful for your work please cite: @article{sinha2021d2c au
A collection of resources and papers on Diffusion Models, a darkhorse in the field of Generative Models
This repository contains a collection of resources and papers on Diffusion Models and Score-based Models. If there are any missing valuable resources
A Loss Function for Generative Neural Networks Based on Watson’s Perceptual Model
This repository contains the similarity metrics designed and evaluated in the paper, and instructions and code to re-run the experiments. Implementation in the deep-learning framework PyTorch
Neural HMMs are all you need (for high-quality attention-free TTS)
Neural HMMs are all you need (for high-quality attention-free TTS) Shivam Mehta, Éva Székely, Jonas Beskow, and Gustav Eje Henter This is the official
Model-based Reinforcement Learning Improves Autonomous Racing Performance
Racing Dreamer: Model-based versus Model-free Deep Reinforcement Learning for Autonomous Racing Cars In this work, we propose to learn a racing contro
Quick program made to generate alpha and delta tables for Hidden Markov Models
HMM_Calc Functions for generating Alpha and Delta tables from a Hidden Markov Model. Parameters: a: Matrix of transition probabilities. a[i][j] = a_{i
Sample Prior Guided Robust Model Learning to Suppress Noisy Labels
PGDF This repo is the official implementation of our paper "Sample Prior Guided Robust Model Learning to Suppress Noisy Labels ". Citation If you use
Tensorflow implementation of Semi-supervised Sequence Learning (https://arxiv.org/abs/1511.01432)
Transfer Learning for Text Classification with Tensorflow Tensorflow implementation of Semi-supervised Sequence Learning(https://arxiv.org/abs/1511.01
torchbearer: A model fitting library for PyTorch
Note: We're moving to PyTorch Lightning! Read about the move here. From the end of February, torchbearer will no longer be actively maintained. We'll
BERT has a Mouth, and It Must Speak: BERT as a Markov Random Field Language Model
BERT has a Mouth, and It Must Speak: BERT as a Markov Random Field Language Model
Revisiting Pre-trained Models for Chinese Natural Language Processing (Findings of EMNLP 2020)
This repository contains the resources in our paper "Revisiting Pre-trained Models for Chinese Natural Language Processing", which will be published i
Optimus: the first large-scale pre-trained VAE language model
Optimus: the first pre-trained Big VAE language model This repository contains source code necessary to reproduce the results presented in the EMNLP 2
Source code for TACL paper "KEPLER: A Unified Model for Knowledge Embedding and Pre-trained Language Representation".
KEPLER: A Unified Model for Knowledge Embedding and Pre-trained Language Representation Source code for TACL 2021 paper KEPLER: A Unified Model for Kn
Phrase-BERT: Improved Phrase Embeddings from BERT with an Application to Corpus Exploration
Phrase-BERT: Improved Phrase Embeddings from BERT with an Application to Corpus Exploration This is the official repository for the EMNLP 2021 long pa
A single model that parses Universal Dependencies across 75 languages.
A single model that parses Universal Dependencies across 75 languages. Given a sentence, jointly predicts part-of-speech tags, morphology tags, lemmas, and dependency trees.
[CVPR 2021] VirTex: Learning Visual Representations from Textual Annotations
VirTex: Learning Visual Representations from Textual Annotations Karan Desai and Justin Johnson University of Michigan CVPR 2021 arxiv.org/abs/2006.06
OpenMMLab 3D Human Parametric Model Toolbox and Benchmark
Introduction English | 简体ä¸æ–‡ MMHuman3D is an open source PyTorch-based codebase for the use of 3D human parametric models in computer vision and comput
Label-Free Model Evaluation with Semi-Structured Dataset Representations
Label-Free Model Evaluation with Semi-Structured Dataset Representations Prerequisites This code uses the following libraries Python 3.7 NumPy PyTorch
[NeurIPS'21 Spotlight] PyTorch code for our paper "Aligned Structured Sparsity Learning for Efficient Image Super-Resolution"
ASSL This repository is for a new network pruning method (Aligned Structured Sparsity Learning, ASSL) for efficient single image super-resolution (SR)
Code and Data for the paper: Molecular Contrastive Learning with Chemical Element Knowledge Graph [AAAI 2022]
Knowledge-enhanced Contrastive Learning (KCL) Molecular Contrastive Learning with Chemical Element Knowledge Graph [ AAAI 2022 ]. We construct a Chemi
PyTorch trainer and model for Sequence Classification
PyTorch-trainer-and-model-for-Sequence-Classification After cloning the repository, modify your training data so that the training data is a .csv file
Built on python (Mathematical straight fit line coordinates error predictor machine learning foundational model)
Sum-Square_Error-Business-Analytical-Tool- Built on python (Mathematical straight fit line coordinates error predictor machine learning foundational m
PostgreSQL with Docker + Portainer + pgAdmin + Django local
django-postgresql-docker Running PostgreSQL with Docker + Portainer + pgAdmin + Django local for development. This project was done with: Python 3.9.8
Modified GPT using average pooling to reduce the softmax attention memory constraints.
NLP-GPT-Upsampling This repository contains an implementation of Open AI's GPT Model. In particular, this implementation takes inspiration from the Ny
Core ML tools contain supporting tools for Core ML model conversion, editing, and validation.
Core ML Tools Use coremltools to convert machine learning models from third-party libraries to the Core ML format. The Python package contains the sup
BERTAC (BERT-style transformer-based language model with Adversarially pretrained Convolutional neural network)
BERTAC (BERT-style transformer-based language model with Adversarially pretrained Convolutional neural network) BERTAC is a framework that combines a
Language model Prompt And Query Archive
LPAQA: Language model Prompt And Query Archive This repository contains data and code for the paper How Can We Know What Language Models Know? Install
A Model for Natural Language Attack on Text Classification and Inference
TextFooler A Model for Natural Language Attack on Text Classification and Inference This is the source code for the paper: Jin, Di, et al. "Is BERT Re
The official implementation of "BERT is to NLP what AlexNet is to CV: Can Pre-Trained Language Models Identify Analogies?, ACL 2021 main conference"
BERT is to NLP what AlexNet is to CV This is the official implementation of BERT is to NLP what AlexNet is to CV: Can Pre-Trained Language Models Iden
DeepSpeed is a deep learning optimization library that makes distributed training easy, efficient, and effective.
DeepSpeed+Megatron trained the world's most powerful language model: MT-530B DeepSpeed is hiring, come join us! DeepSpeed is a deep learning optimizat
Super Tickets in Pre-Trained Language Models: From Model Compression to Improving Generalization (ACL 2021)
Structured Super Lottery Tickets in BERT This repo contains our codes for the paper "Super Tickets in Pre-Trained Language Models: From Model Compress
Pretrained language model and its related optimization techniques developed by Huawei Noah's Ark Lab.
Pretrained Language Model This repository provides the latest pretrained language models and its related optimization techniques developed by Huawei N
Enabling Lightweight Fine-tuning for Pre-trained Language Model Compression based on Matrix Product Operators
Enabling Lightweight Fine-tuning for Pre-trained Language Model Compression based on Matrix Product Operators This is our Pytorch implementation for t
Code associated with the Don't Stop Pretraining ACL 2020 paper
dont-stop-pretraining Code associated with the Don't Stop Pretraining ACL 2020 paper Citation @inproceedings{dontstoppretraining2020, author = {Suchi
Revisiting Self-Training for Few-Shot Learning of Language Model.
SFLM This is the implementation of the paper Revisiting Self-Training for Few-Shot Learning of Language Model. SFLM is short for self-training for few
Information Gain Filtration (IGF) is a method for filtering domain-specific data during language model finetuning. IGF shows significant improvements over baseline fine-tuning without data filtration.
Information Gain Filtration Information Gain Filtration (IGF) is a method for filtering domain-specific data during language model finetuning. IGF sho
Code for paper "Do Language Models Have Beliefs? Methods for Detecting, Updating, and Visualizing Model Beliefs"
This is the codebase for the paper: Do Language Models Have Beliefs? Methods for Detecting, Updating, and Visualizing Model Beliefs Directory Structur
A kedro-plugin to serve Kedro Pipelines as API
General informations Software repository Latest release Total downloads Pypi Code health Branch Tests Coverage Links Documentation Deployment Activity
TensorFlow (Python) implementation of DeepTCN model for multivariate time series forecasting.
DeepTCN TensorFlow TensorFlow (Python) implementation of multivariate time series forecasting model introduced in Chen, Y., Kang, Y., Chen, Y., & Wang
DeepFill v1/v2 with Contextual Attention and Gated Convolution, CVPR 2018, and ICCV 2019 Oral
Generative Image Inpainting An open source framework for generative image inpainting task, with the support of Contextual Attention (CVPR 2018) and Ga
Label-Free Model Evaluation with Semi-Structured Dataset Representations
Label-Free Model Evaluation with Semi-Structured Dataset Representations Prerequisites This code uses the following libraries Python 3.7 NumPy PyTorch
Train the HRNet model on ImageNet
High-resolution networks (HRNets) for Image classification News [2021/01/20] Add some stronger ImageNet pretrained models, e.g., the HRNet_W48_C_ssld_
Bringing Async Capabilities to django ORM
Bringing Async Capabilities to django ORM
This is the official code repository for A Simple Long-Tailed Rocognition Baseline via Vision-Language Model.
BALLAD This is the official code repository for A Simple Long-Tailed Rocognition Baseline via Vision-Language Model. Requirements Python3 Pytorch(1.7.
EdiBERT, a generative model for image editing
EdiBERT, a generative model for image editing EdiBERT is a generative model based on a bi-directional transformer, suited for image manipulation. The
CycleTransGAN-EVC: A CycleGAN-based Emotional Voice Conversion Model with Transformer
CycleTransGAN-EVC CycleTransGAN-EVC: A CycleGAN-based Emotional Voice Conversion Model with Transformer Demo emotion CycleTransGAN CycleTransGAN Cycle
This repository is for the preprint "A generative nonparametric Bayesian model for whole genomes"
BEAR Overview This repository contains code associated with the preprint A generative nonparametric Bayesian model for whole genomes (2021), which pro
Code for "On Memorization in Probabilistic Deep Generative Models"
On Memorization in Probabilistic Deep Generative Models This repository contains the code necessary to reproduce the experiments in On Memorization in
Toolbox to analyze temporal context invariance of deep neural networks
PyTCI A toolbox that estimates the integration window of a sensory response using the "Temporal Context Invariance" paradigm (TCI). The TCI method Int
Code for models used in Bashiri et al., "A Flow-based latent state generative model of neural population responses to natural images".
A Flow-based latent state generative model of neural population responses to natural images Code for "A Flow-based latent state generative model of ne
[NeurIPS 2021] "G-PATE: Scalable Differentially Private Data Generator via Private Aggregation of Teacher Discriminators"
G-PATE This is the official code base for our NeurIPS 2021 paper: "G-PATE: Scalable Differentially Private Data Generator via Private Aggregation of T
Mouse Brain in the Model Zoo
Deep Neural Mouse Brain Modeling This is the repository for the ongoing deep neural mouse modeling project, an attempt to characterize the representat
Official Implementation for Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation
Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation We present a generic image-to-image translation framework, pixel2style2pixel (pSp
A Simple Long-Tailed Rocognition Baseline via Vision-Language Model
BALLAD This is the official code repository for A Simple Long-Tailed Rocognition Baseline via Vision-Language Model. Requirements Python3 Pytorch(1.7.
Network Engineer's Unified Realtime Automation Library
NEURAL is the premiere CLI jockey replacement full stack web/app/database network automation application, providing a "no-code" web app for network engineers developed by a network engineer!
Official code repository for A Simple Long-Tailed Rocognition Baseline via Vision-Language Model.
This is the official code repository for A Simple Long-Tailed Rocognition Baseline via Vision-Language Model.
A ToDO Rest API using Django, PostgreSQL and Docker
This Rest API uses PostgreSQL, Docker and Django to implements a ToDo application.
Awesome Django Blog App
Awesome-Django-Blog-App Made with love django as the backend and Bootstrap as the frontend ! i hope that can help !! Project Title Django provides mul
Sign data using symmetric-key algorithm encryption.
Sign data using symmetric-key algorithm encryption. Validate signed data and identify possible validation errors. Uses sha-(1, 224, 256, 385 and 512)/hmac for signature encryption. Custom hash algorithms are allowed. Useful shortcut functions for signing (and validating) dictionaries and URLs.
A lightweight interface for reading in output from the Weather Research and Forecasting (WRF) model into xarray Dataset
xwrf A lightweight interface for reading in output from the Weather Research and Forecasting (WRF) model into xarray Dataset. The primary objective of
Project to deploy a machine learning model based on Titanic dataset from Kaggle
kaggle_titanic_deploy Project to deploy a machine learning model based on Titanic dataset from Kaggle In this project we used the Titanic dataset from
Repo to store back end infrastructure for Message in a Bottle
Message in a Bottle Backend API RESTful API for Message in a Bottle frontend application consumption. About The Project • Tools Used • Local Set Up •
Official Implementation of SWAGAN: A Style-based Wavelet-driven Generative Model
Official Implementation of SWAGAN: A Style-based Wavelet-driven Generative Model SWAGAN: A Style-based Wavelet-driven Generative Model Rinon Gal, Dana
Official implementation of VQ-Diffusion: Vector Quantized Diffusion Model for Text-to-Image Synthesis
Official implementation of VQ-Diffusion: Vector Quantized Diffusion Model for Text-to-Image Synthesis
Django Rest Framework App wih JWT Authentication and other DRF stuff
Django Queries App with JWT authentication, Class Based Views, Serializers, Swagger UI, CI/CD and other cool DRF stuff API Documentaion /swagger - Swa
Simple web site for sharing your short stories and beautiful pictures
Story Contest Simple web site for sharing your short stories and beautiful pictures.(Cloud computing first assignment) Clouds The table below shows cl
Django Audit is a simple Django app that tracks and logs requests to your application.
django-audit Django Audit is a simple Django app that tracks and logs requests to your application. Quick Start Install django-audit pip install dj-au
A Django Demo Project of Students Management System
Django_StudentMS A Django Demo Project of Students Management System. From NWPU Seddon for DB Class Pre. Seddon simplify the code in 2021/10/17. Hope
[NeurIPS 2021] Deceive D: Adaptive Pseudo Augmentation for GAN Training with Limited Data
Deceive D: Adaptive Pseudo Augmentation for GAN Training with Limited Data (NeurIPS 2021) This repository provides the official PyTorch implementation
Code for paper "Do Language Models Have Beliefs? Methods for Detecting, Updating, and Visualizing Model Beliefs"
This is the codebase for the paper: Do Language Models Have Beliefs? Methods for Detecting, Updating, and Visualizing Model Beliefs Directory Structur
Code for unmixing audio signals in four different stems "drums, bass, vocals, others". The code is adapted from "Jukebox: A Generative Model for Music"
Status: Archive (code is provided as-is, no updates expected) Disclaimer This code is a based on "Jukebox: A Generative Model for Music" Paper We adju
Anomaly Localization in Model Gradients Under Backdoor Attacks Against Federated Learning
Federated_Learning This repo provides a federated learning framework that allows to carry out backdoor attacks under varying conditions. This is a ker
A simple rest api serving a deep learning model that classifies human gender based on their faces. (vgg16 transfare learning)
this is a simple rest api serving a deep learning model that classifies human gender based on their faces. (vgg16 transfare learning)
Train an imgs.ai model on your own dataset
imgs.ai is a fast, dataset-agnostic, deep visual search engine for digital art history based on neural network embeddings.
Django based webapp pulling in crypto news and price data via api
Deploy Django in Production FTA project implementing containerization of Django Web Framework into Docker to be placed into Azure Container Services a
LAnguage Model Analysis
LAMA: LAnguage Model Analysis LAMA is a probe for analyzing the factual and commonsense knowledge contained in pretrained language models. The dataset
Count the MACs / FLOPs of your PyTorch model.
THOP: PyTorch-OpCounter How to install pip install thop (now continously intergrated on Github actions) OR pip install --upgrade git+https://github.co
Pre-trained Deep Learning models and demos (high quality and extremely fast)
OpenVINOâ„¢ Toolkit - Open Model Zoo repository This repository includes optimized deep learning models and a set of demos to expedite development of hi
A middleware to log the requests and responses using loguru.
Django Loguru The extension was based on another one and added some extra flavours. One of the biggest problems with the apps is the logging and that
Selenium Page Object Model with Python
Page-object-model (POM) is a pattern that you can apply it to develop efficient automation framework.
IMBENS: class-imbalanced ensemble learning in Python.
IMBENS: class-imbalanced ensemble learning in Python. Links: [Documentation] [Gallery] [PyPI] [Changelog] [Source] [Download] [知乎/Zhihu] [ä¸æ–‡README] [a
Research code for the paper "Variational Gibbs inference for statistical estimation from incomplete data".
Variational Gibbs inference (VGI) This repository contains the research code for Simkus, V., Rhodes, B., Gutmann, M. U., 2021. Variational Gibbs infer
An API was build with Django to store and retrieve information about various musical instruments.
The project is meant to be a starting point, an experimentation or a basic example of a way to develop an API with Django. It is an exercise on using Django and various python technologies and design methodologies.
Zendesk Assignment - Django Based Ticket Viewer
Zendesk-Coding-Challenge Django Based Ticket Viewer The assignment has been made using Django. Important methods have been scripted in views.py. Excep
Codebase for Amodal Segmentation through Out-of-Task andOut-of-Distribution Generalization with a Bayesian Model
Codebase for Amodal Segmentation through Out-of-Task andOut-of-Distribution Generalization with a Bayesian Model
An optimized prompt tuning strategy comparable to fine-tuning across model scales and tasks.
P-tuning v2 P-Tuning v2: Prompt Tuning Can Be Comparable to Finetuning Universally Across Scales and Tasks An optimized prompt tuning strategy achievi
Redis OM Python makes it easy to model Redis data in your Python applications.
Object mapping, and more, for Redis and Python Redis OM Python makes it easy to model Redis data in your Python applications. Redis OM Python | Redis