6926 Repositories
Python machine-learning-api Libraries
NeoDTI: Neural integration of neighbor information from a heterogeneous network for discovering new drug-target interactions
NeoDTI NeoDTI: Neural integration of neighbor information from a heterogeneous network for discovering new drug-target interactions (Bioinformatics).
Implementation of paper "Self-supervised Learning on Graphs:Deep Insights and New Directions"
SelfTask-GNN A PyTorch implementation of "Self-supervised Learning on Graphs: Deep Insights and New Directions". [paper] In this paper, we first deepe
Source code of the "Graph-Bert: Only Attention is Needed for Learning Graph Representations" paper
Graph-Bert Source code of "Graph-Bert: Only Attention is Needed for Learning Graph Representations". Please check the script.py as the entry point. We
PyTorch code of "SLAPS: Self-Supervision Improves Structure Learning for Graph Neural Networks"
SLAPS-GNN This repo contains the implementation of the model proposed in SLAPS: Self-Supervision Improves Structure Learning for Graph Neural Networks
Code for KDD'20 "Generative Pre-Training of Graph Neural Networks"
GPT-GNN: Generative Pre-Training of Graph Neural Networks GPT-GNN is a pre-training framework to initialize GNNs by generative pre-training. It can be
Official PyTorch Implementation of "Self-supervised Auxiliary Learning with Meta-paths for Heterogeneous Graphs". NeurIPS 2020.
Self-supervised Auxiliary Learning with Meta-paths for Heterogeneous Graphs This repository is the implementation of SELAR. Dasol Hwang* , Jinyoung Pa
Subgraph Based Learning of Contextual Embedding
SLiCE Self-Supervised Learning of Contextual Embeddings for Link Prediction in Heterogeneous Networks Dataset details: We use four public benchmark da
Deeper insights into graph convolutional networks for semi-supervised learning
deeper_insights_into_GCNs Deeper insights into graph convolutional networks for semi-supervised learning References data and utils.py come from Implem
Reference Code for AAAI-20 paper "Multi-Stage Self-Supervised Learning for Graph Convolutional Networks on Graphs with Few Labels"
Reference Code for AAAI-20 paper "Multi-Stage Self-Supervised Learning for Graph Convolutional Networks on Graphs with Few Labels" Please refer to htt
[ICML 2020] DrRepair: Learning to Repair Programs from Error Messages
DrRepair: Learning to Repair Programs from Error Messages This repo provides the source code & data of our paper: Graph-based, Self-Supervised Program
A Self-Supervised Contrastive Learning Framework for Aspect Detection
AspDecSSCL A Self-Supervised Contrastive Learning Framework for Aspect Detection This repository is a pytorch implementation for the following AAAI'21
Self-Guided Contrastive Learning for BERT Sentence Representations
Self-Guided Contrastive Learning for BERT Sentence Representations This repository is dedicated for releasing the implementation of the models utilize
Autoregressive Predictive Coding: An unsupervised autoregressive model for speech representation learning
Autoregressive Predictive Coding This repository contains the official implementation (in PyTorch) of Autoregressive Predictive Coding (APC) proposed
Self-labelling via simultaneous clustering and representation learning. (ICLR 2020)
Self-labelling via simultaneous clustering and representation learning 🆗 🆗 🎉 NEW models (20th August 2020): Added standard SeLa pretrained torchvis
PyTorch implementation of MoCo: Momentum Contrast for Unsupervised Visual Representation Learning
MoCo: Momentum Contrast for Unsupervised Visual Representation Learning This is a PyTorch implementation of the MoCo paper: @Article{he2019moco, aut
Code for NeurIPS 2020 article "Contrastive learning of global and local features for medical image segmentation with limited annotations"
Contrastive learning of global and local features for medical image segmentation with limited annotations The code is for the article "Contrastive lea
Unsupervised Representation Learning by Invariance Propagation
Unsupervised Learning by Invariance Propagation This repository is the official implementation of Unsupervised Learning by Invariance Propagation. Pre
Official code for the paper "Self-Supervised Prototypical Transfer Learning for Few-Shot Classification"
Self-Supervised Prototypical Transfer Learning for Few-Shot Classification This repository contains the reference source code and pre-trained models (
SCAN: Learning to Classify Images without Labels, incl. SimCLR. [ECCV 2020]
Learning to Classify Images without Labels This repo contains the Pytorch implementation of our paper: SCAN: Learning to Classify Images without Label
Official PyTorch implementation of the paper "Self-Supervised Relational Reasoning for Representation Learning", NeurIPS 2020 Spotlight.
Official PyTorch implementation of the paper: "Self-Supervised Relational Reasoning for Representation Learning" (2020), Patacchiola, M., and Storkey,
Unsupervised Learning of Video Representations using LSTMs
Unsupervised Learning of Video Representations using LSTMs Code for paper Unsupervised Learning of Video Representations using LSTMs by Nitish Srivast
Code and training data for our ECCV 2016 paper on Unsupervised Learning
Shuffle and Learn (Shuffle Tuple) Created by Ishan Misra Based on the ECCV 2016 Paper - "Shuffle and Learn: Unsupervised Learning using Temporal Order
Joint-task Self-supervised Learning for Temporal Correspondence (NeurIPS 2019)
Joint-task Self-supervised Learning for Temporal Correspondence Project | Paper Overview Joint-task Self-supervised Learning for Temporal Corresponden
Official implementation of ACMMM'20 paper 'Self-supervised Video Representation Learning Using Inter-intra Contrastive Framework'
Self-supervised Video Representation Learning Using Inter-intra Contrastive Framework Official code for paper, Self-supervised Video Representation Le
Implementation of our paper "Video Playback Rate Perception for Self-supervised Spatio-Temporal Representation Learning".
PRP Introduction This is the implementation of our paper "Video Playback Rate Perception for Self-supervised Spatio-Temporal Representation Learning".
code for our ECCV-2020 paper: Self-supervised Video Representation Learning by Pace Prediction
Video_Pace This repository contains the code for the following paper: Jiangliu Wang, Jianbo Jiao and Yunhui Liu, "Self-Supervised Video Representation
Video Representation Learning by Recognizing Temporal Transformations. In ECCV, 2020.
Video Representation Learning by Recognizing Temporal Transformations [Project Page] Simon Jenni, Givi Meishvili, and Paolo Favaro. In ECCV, 2020. Thi
[NeurIPS'20] Self-supervised Co-Training for Video Representation Learning. Tengda Han, Weidi Xie, Andrew Zisserman.
CoCLR: Self-supervised Co-Training for Video Representation Learning This repository contains the implementation of: InfoNCE (MoCo on videos) UberNCE
[arXiv 2020] Video Representation Learning with Visual Tempo Consistency
Video Representation Learning with Visual Tempo Consistency [Paper] [Project Page] News Full codebae is coming soon Pretained Models For now, we provi
Official Pytorch implementation for AAAI2021 paper (RSPNet: Relative Speed Perception for Unsupervised Video Representation Learning)
RSPNet Official Pytorch implementation for AAAI2021 paper "RSPNet: Relative Speed Perception for Unsupervised Video Representation Learning" [Suppleme
Code for Paper: Self-supervised Learning of Motion Capture
Self-supervised Learning of Motion Capture This is code for the paper: Hsiao-Yu Fish Tung, Hsiao-Wei Tung, Ersin Yumer, Katerina Fragkiadaki, Self-sup
An unsupervised learning framework for depth and ego-motion estimation from monocular videos
SfMLearner This codebase implements the system described in the paper: Unsupervised Learning of Depth and Ego-Motion from Video Tinghui Zhou, Matthew
Geometry-Aware Learning of Maps for Camera Localization (CVPR2018)
Geometry-Aware Learning of Maps for Camera Localization This is the PyTorch implementation of our CVPR 2018 paper "Geometry-Aware Learning of Maps for
Codebase for ECCV18 "The Sound of Pixels"
Sound-of-Pixels Codebase for ECCV18 "The Sound of Pixels". *This repository is under construction, but the core parts are already there. Environment T
Code for "Unsupervised State Representation Learning in Atari"
Unsupervised State Representation Learning in Atari Ankesh Anand*, Evan Racah*, Sherjil Ozair*, Yoshua Bengio, Marc-Alexandre Côté, R Devon Hjelm This
The implementation of Parameter Differentiation based Multilingual Neural Machine Translation
The implementation of Parameter Differentiation based Multilingual Neural Machin
API Basica per a synologys Active Backup For Buissiness
Synology Active Backup for Business API-NPP Informació Per executar el programa
Deep Learning Training Scripts With Python
Deep Learning Training Scripts DNN Frameworks Caffe PyTorch Tensorflow CNN Models VGG ResNet DenseNet Inception Language Modeling GatedCNN-LM Attentio
This is a Python program that implements a vacuum cleaner as an Artificial Intelligence.
Vacuum-Cleaner Python3 This is a Python3 agent that implements a simulator for a vacuum cleaner and it is introduction to Artificial Intelligence. A s
A Python package designed to help users of Cisco's FMC interface with its API.
FMCAPI was originally developed by Dax Mickelson ([email protected]). Dax has moved on to other projects but has kindly transferred the ownership of
Discord Bot for League of Legends live match tracker
SABot Dicord Bot for League of Legends match auto tracker Features: Search Summoners statistics in League of Legends. Auto-notifications provide when
Using multiple API sources, create an app that allows users to filter through random locations based on their temperature range choices.
World_weather_analysis Overview Using multiple API sources, create an app that allows users to filter through random locations based on their temperat
REST API built using flask framework that used for managing bookmarks by individual users.
Bookmarks REST API REST API built using flask framework that used for managing bookmarks by individual users. API Consumers Note This app is built usi
Get the HTTP code of websites along with a cute cat picture
Cat Requests What is this? Cat requests allows you to both get the HTTP response code of the website you wish and it displays it to your screen as a c
cli simple python script to interact with iphone afc api based on python library( tidevice )
afcclient cli simple python script to interact with iphone afc api based on python library( tidevice ) installation pip3 install -U tidevice cp afccli
Official repository of the paper Learning to Regress 3D Face Shape and Expression from an Image without 3D Supervision
Official repository of the paper Learning to Regress 3D Face Shape and Expression from an Image without 3D Supervision
HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesis
HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesis Jungil Kong, Jaehyeon Kim, Jaekyoung Bae In our paper, we p
Indonesian Car License Plate Character Recognition using Tensorflow, Keras and OpenCV.
Monopol Indonesian Car License Plate (Indonesia Mobil Nomor Polisi) Character Recognition using Tensorflow, Keras and OpenCV. Background This applicat
A python api to get info on covid-19
A python api to get info on covid-19
🚀Clone a voice in 5 seconds to generate arbitrary speech in real-time
English | 中文 Features 🌍 Chinese supported mandarin and tested with multiple datasets: aidatatang_200zh, magicdata, aishell3, data_aishell, and etc. ?
Minecraft name sniper written in python.
⚠️ IMPORTANT ⚠️ DO NOT USE MCSNIPERPY -- READ BELOW This sniper does not support Microsoft accounts or prename / gc sniping and is MUCH harder to use
whylogs: A Data and Machine Learning Logging Standard
whylogs: A Data and Machine Learning Logging Standard whylogs is an open source standard for data and ML logging whylogs logging agent is the easiest
TM1py is a Python package that wraps the TM1 REST API in a simple to use library.
By wrapping the IBM Planning Analytics (TM1) REST API in a concise Python framework, TM1py facilitates Python developments for TM1. Interacting with T
Python Library for Accessing the Cohere API
Cohere Python SDK This package provides functionality developed to simplify interfacing with the Cohere API in Python 3. Documentation See the API's d
txtai: Build AI-powered semantic search applications in Go
txtai: Build AI-powered semantic search applications in Go txtai executes machine-learning workflows to transform data and build AI-powered semantic s
A deep learning model for style-specific music generation.
DeepJ: A model for style-specific music generation https://arxiv.org/abs/1801.00887 Abstract Recent advances in deep neural networks have enabled algo
Fast, DB Backed pretrained word embeddings for natural language processing.
Embeddings Embeddings is a python package that provides pretrained word embeddings for natural language processing and machine learning. Instead of lo
Multilingual word vectors in 78 languages
Aligning the fastText vectors of 78 languages Facebook recently open-sourced word vectors in 89 languages. However these vectors are monolingual; mean
PyTorch Implementation for Deep Metric Learning Pipelines
Easily Extendable Basic Deep Metric Learning Pipeline Karsten Roth ([email protected]), Biagio Brattoli ([email protected]) When using thi
The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
News December 27: v1.1.0 New loss functions: CentroidTripletLoss and VICRegLoss Mean reciprocal rank + per-class accuracies See the release notes Than
Template repository to build PyTorch projects from source on any version of PyTorch/CUDA/cuDNN.
The Ultimate PyTorch Source-Build Template Translations: 한국어 TL;DR PyTorch built from source can be x4 faster than a naïve PyTorch install. This repos
A CLI messenger for the Signum community.
A CLI messenger for the Signum community. Built for people who like using terminal for their work and want to communicate with other users in the Signum community.
Final project for machine learning (CSC 590). Detection of hepatitis C and progression through blood samples.
Hepatitis C Blood Based Detection Final project for machine learning (CSC 590). Dataset from Kaggle. Using data from previous hepatitis C blood panels
A Python script to delete movies with a certain tag after a certain amount of days.
radarr_autodelete Simple script, which deletes movies with a specific tag after a certain amount of days Pip Packages pip3 install pyarr python-dotenv
Api REST para gerenciamento de cashback.
Documentação API para gerenciamento de cashback - MaisTODOS Features Em construção... Tecnologias utilizadas Back end Python 3.8.10 Django REST Framew
A curated list of the latest breakthroughs in AI (in 2021) by release date with a clear video explanation, link to a more in-depth article, and code.
2021: A Year Full of Amazing AI papers- A Review 📌 A curated list of the latest breakthroughs in AI by release date with a clear video explanation, l
Learning and experimenting with Kubernetes
Kubernetes Experiments This repository contains code that I'm using to learn and experiment with Kubernetes. 1. Environment setup minikube kubectl doc
Key-Value база данных на Tarantool и REST API к ней.
KVmail Key-Value база данных на Tarantool и REST API к ней. Документация к API доступна здесь. Requiremrnts ubuntu 16.04+ python3.6+ supervisord nginx
All-in-one web-based development environment for machine learning
All-in-one web-based development environment for machine learning Getting Started • Features & Screenshots • Support • Report a Bug • FAQ • Known Issu
A simple api written in python/fastapi that serves movies from a cassandra table.
A simple api written in python/fastapi that serves movies from a cassandra table. 1)clone the repo 2)rename sample_global_config_.py to global_config.
Marketplace for self published books
Nile API API for the imaginary Nile marketplace for self published books. This is a project created to try out FastAPI as the post promising ASGI serv
API para realizar parser de frases
NLP API Simple api to parse and apply some preprocessing steps in portuguses phrases (pt_BR) This api uses the great FastAPI and spaCy packages! Usage
I'm curious if pydantic + fast api can be sensibly used with DDD + hex arch methodology
pydantic-ddd-exploration I'm curious if pydantic + fast api can be sensibly used with DDD + hex arch methodology Prerequisites nix direnv (nix-env -i
Python Moonlight (Machine Learning) Practice
PyML Python Moonlight (Machine Learning) Practice Contents Design Documentation Prerequisites Checklist Dev Setup Testing Run Prerequisites Python 3 P
cookiecutter template for web API with python
Python project template for Web API with cookiecutter What's this This provides the project template including minimum test/lint/typechecking package
Coronavirus Tracker API
Coronavirus Tracker API Provides up-to-date data about Coronavirus outbreak. Includes numbers about confirmed cases, deaths and recovered. Support mul
Back-end API for the reternal framework
RE:TERNAL RE:TERNAL is a centralised purple team simulation platform. Reternal uses agents installed on a simulation network to execute various known
A minimalistic example of preparing a model for (synchronous) inference in production.
A minimalistic example of preparing a model for (synchronous) inference in production.
API to summarize input text
summaries API to summarize input text normal run $ docker-compose exec web python -m pytest disable warnings $ docker-compose exec web python -m pytes
Online learning platform
🛠 Status: In Development Teached is currently in development. So we encourage you to use it and give us your feedback, but there are things that have
Faster Twitch Alerts is a highly customizable, lightning-fast alternative to Twitch's slow mobile notification system
Faster Twitch Alerts What is "Faster Twitch Alerts"? Faster Twitch Alerts is a highly customizable, lightning-fast alternative to Twitch's slow mobile
Implementation of Memory-Efficient Neural Networks with Multi-Level Generation, ICCV 2021
Memory-Efficient Multi-Level In-Situ Generation (MLG) By Jiaqi Gu, Hanqing Zhu, Chenghao Feng, Mingjie Liu, Zixuan Jiang, Ray T. Chen and David Z. Pan
Machine Learning Course Project, IMDB movie review sentiment analysis by lstm, cnn, and transformer
IMDB Sentiment Analysis This is the final project of Machine Learning Courses in Huazhong University of Science and Technology, School of Artificial I
Hub is a dataset format with a simple API for creating, storing, and collaborating on AI datasets of any size.
Hub is a dataset format with a simple API for creating, storing, and collaborating on AI datasets of any size. The hub data layout enables rapid transformations and streaming of data while training models at scale. Hub is used by Google, Waymo, Red Cross, Oxford University, and Omdena.
A Powerful telegram giveawayz bot based on the python-telegram-bot API
GiveawayZ Bot A Powerful telegram giveawayz bot based on the python-telegram-bot API. Powered by Team Zyntax and Team DFX Developed by @Zycho-Dev A pr
Python Flask API service, backed by DynamoDB, running on AWS Lambda using the traditional Serverless Framework.
Serverless Framework Python Flask API service backed by DynamoDB on AWS Python Flask API service, backed by DynamoDB, running on AWS Lambda using the
Simple and Robust Loss Design for Multi-Label Learning with Missing Labels
Simple and Robust Loss Design for Multi-Label Learning with Missing Labels Official PyTorch Implementation of the paper Simple and Robust Loss Design
python based bot Sends notification to your telegram whenever a new video is released on a youtube channel!
YTnotifier python based bot Sends notification to your telegram whenever a new video is released on a youtube channel! REQUIREMENTS telethon python-de
Lecture materials for Cornell CS5785 Applied Machine Learning (Fall 2021)
Applied Machine Learning (Cornell CS5785, Fall 2021) This repo contains executable course notes and slides for the Applied ML course at Cornell and Co
Breaking Shortcut: Exploring Fully Convolutional Cycle-Consistency for Video Correspondence Learning
Breaking Shortcut: Exploring Fully Convolutional Cycle-Consistency for Video Correspondence Learning Yansong Tang *, Zhenyu Jiang *, Zhenda Xie *, Yue
An Instagram bot that can mass text users, receive and read a text, and store it somewhere with user details.
Instagram Bot 🤖 July 14, 2021 Overview 👍 A multifunctionality automated instagram bot that can mass text users, receive and read a message and store
Learning hierarchical attention for weakly-supervised chest X-ray abnormality localization and diagnosis
Hierarchical Attention Mining (HAM) for weakly-supervised abnormality localization This is the official PyTorch implementation for the HAM method. Pap
Fastapi practice project
todo-list-fastapi practice project How to run Install dependencies npm, yarn: standard-version, husky make: script for lint, test pipenv: virtualenv +
API Rest testing FastAPI + SQLAchmey + Docker
Transactions API Rest Implement and design a simple REST API Description We need to a simple API that allow us to register users' transactions and hav
WAZO REST API for the call management of the C4 infrastructure
wazo-router-calld wazo-router-calld provides REST API for the C4 infrastructure. Installing wazo-router-calld The server is already provided as a part
ABACUS Aroio API for Webinterfaces and App-Connections
ABACUS Aroio API for Webinterfaces and App-Connections Setup Start virtual python environment if you don't have python3 running setup: $ python3 -m ve
Example app to be deployed to AWS as an API Gateway / Lambda Stack
Disclaimer I won't answer issues or emails regarding the project anymore. The project is old and not maintained anymore. I'm not sure if it still work
FastAPI Simple authentication & Login API using GraphQL and JWT
JeffQL A Simple FastAPI authentication & Login API using GraphQL and JWT. I choose this Name JeffQL cause i have a Low level Friend with a Nickname Je
Slack webhooks API served by FastAPI
Slackers Slack webhooks API served by FastAPI What is Slackers Slackers is a FastAPI implementation to handle Slack interactions and events. It serves
Free & open source API service for obtaining information about +9600 universities worldwide.
Free & open source API service for obtaining information about +9600 universities worldwide.