3772 Repositories
Python advent-of-code-2021 Libraries
Convnet transfer - Code for paper How transferable are features in deep neural networks?
How transferable are features in deep neural networks? This repository contains source code necessary to reproduce the results presented in the follow
Code release for Convolutional Two-Stream Network Fusion for Video Action Recognition
Convolutional Two-Stream Network Fusion for Video Action Recognition
Pointer-generator - Code for the ACL 2017 paper Get To The Point: Summarization with Pointer-Generator Networks
Note: this code is no longer actively maintained. However, feel free to use the Issues section to discuss the code with other users. Some users have u
March-madness - March Madness results 1985-2021
march-madness Results for all 2,268 NCAA Division I Men's Basketball Tournament games since the modern format was introduced in 1985. Includes years,
[3DV 2021] Channel-Wise Attention-Based Network for Self-Supervised Monocular Depth Estimation
Channel-Wise Attention-Based Network for Self-Supervised Monocular Depth Estimation This is the official implementation for the method described in Ch
ML-PersonalWork - Big assignment PersonalWork in Machine Learning, 2021 autumn BUAA.
ML-PersonalWork - Big assignment PersonalWork in Machine Learning, 2021 autumn BUAA.
Code for our SIGCOMM'21 paper "Network Planning with Deep Reinforcement Learning".
0. Introduction This repository contains the source code for our SIGCOMM'21 paper "Network Planning with Deep Reinforcement Learning". Notes The netwo
Get-countries-info - A python code that fetches data of any country
Country-info A python code getting countries information including country's map
Telop - Encode and decode messages using an interpretation of the telegraphic code devised by José María Mathé
telop Telop (TELégrafoÓPtico) - Utilidad para codificar y descodificar mensajes de texto empleando una interpretación del código telegráfico ideado po
Simple-Image-Classification - Simple Image Classification Code (PyTorch)
Simple-Image-Classification Simple Image Classification Code (PyTorch) Yechan Kim This repository contains: Python3 / Pytorch code for multi-class ima
Python wrapper class for OpenVINO Model Server. User can submit inference request to OVMS with just a few lines of code
Python wrapper class for OpenVINO Model Server. User can submit inference request to OVMS with just a few lines of code.
TrainingBike - Code, models and schematics I've used to interface my stationary training bike with PC.
TrainingBike Code, models and schematics I've used to interface my stationary training bike with PC. You can find more information about the project i
Practical-statistics-for-data-scientists - Code repository for O'Reilly book
Code repository Practical Statistics for Data Scientists: 50+ Essential Concepts Using R and Python by Peter Bruce, Andrew Bruce, and Peter Gedeck Pub
Ml-design-patterns - Source code accompanying O'Reilly book: Machine Learning Design Patterns
This is not an official Google product ml-design-patterns Source code accompanying O'Reilly book: Title: Machine Learning Design Patterns Authors: Val
Data-science-on-gcp - Source code accompanying book: Data Science on the Google Cloud Platform, Valliappa Lakshmanan, O'Reilly 2017
data-science-on-gcp Source code accompanying book: Data Science on the Google Cloud Platform, 2nd Edition Valliappa Lakshmanan O'Reilly, Jan 2022 Bran
Snake - Code for "Deep Snake for Real-Time Instance Segmentation" CVPR 2020 oral
Good news! Snake algorithms exhibit state-of-the-art performances on COCO dataset: DANCE Deep Snake for Real-Time Instance Segmentation Deep Snake for
Research - dataset and code for 2016 paper Learning a Driving Simulator
the people's comma the paper Learning a Driving Simulator the comma.ai driving dataset 7 and a quarter hours of largely highway driving. Enough to tra
Coursera Machine Learning - Python code
Coursera Machine Learning This repository contains python implementations of certain exercises from the course by Andrew Ng. For a number of assignmen
Blankly - 🚀 💸 Trade stocks, cryptos, and forex w/ one package. Easily build, backtest, trade, and deploy across exchanges in a few lines of code.
💨 Rapidly build and deploy quantitative models for stocks, crypto, and forex 🚀 View Docs · Our Website · Join Our Newsletter · Getting Started Why B
Py4fi2nd - Jupyter Notebooks and code for Python for Finance (2nd ed., O'Reilly) by Yves Hilpisch.
Python for Finance (2nd ed., O'Reilly) This repository provides all Python codes and Jupyter Notebooks of the book Python for Finance -- Mastering Dat
Sigma coding youtube - This is a collection of all the code that can be found on my YouTube channel Sigma Coding.
Sigma Coding Tutorials & Resources YouTube • Facebook Support Sigma Coding Patreon • GitHub Sponsor • Shop Amazon Table of Contents Overview Topics Re
Prml - Repository of notes, code and notebooks in Python for the book Pattern Recognition and Machine Learning by Christopher Bishop
Pattern Recognition and Machine Learning (PRML) This project contains Jupyter notebooks of many the algorithms presented in Christopher Bishop's Patte
Fastquant - Backtest and optimize your trading strategies with only 3 lines of code!
fastquant 🤓 Bringing backtesting to the mainstream fastquant allows you to easily backtest investment strategies with as few as 3 lines of python cod
ML course - EPFL Machine Learning Course, Fall 2021
EPFL Machine Learning Course CS-433 Machine Learning Course, Fall 2021 Repository for all lecture notes, labs and projects - resources, code templates
Finetune alexnet with tensorflow - Code for finetuning AlexNet in TensorFlow = 1.2rc0
Finetune AlexNet with Tensorflow Update 15.06.2016 I revised the entire code base to work with the new input pipeline coming with TensorFlow = versio
Hacktoberfest2021 - Submit Just 4 PRs to earn SWAGS and Tshirts🔥
dont contribute in this repo, contribute only in below mentioned repo Special Note For Everyone ''' always make more then 4 pull request lets you have
Numerical-computing-is-fun - Learning numerical computing with notebooks for all ages.
As much as this series is to educate aspiring computer programmers and data scientists of all ages and all backgrounds, it is also a reminder to mysel
Checkov is a static code analysis tool for infrastructure-as-code.
Checkov - Prevent cloud misconfigurations during build-time for Terraform, Cloudformation, Kubernetes, Serverless framework and other infrastructure-as-code-languages with Checkov by Bridgecrew.
Stack-overflow-import - Import arbitrary code from Stack Overflow as Python modules.
StackOverflow Importer Do you ever feel like all you’re doing is copy/pasting from Stack Overflow? Let’s take it one step further. from stackoverflow
BRNet - code for Automated assessment of BI-RADS categories for ultrasound images using multi-scale neural networks with an order-constrained loss function
BRNet code for "Automated assessment of BI-RADS categories for ultrasound images using multi-scale neural networks with an order-constrained loss func
CS_Final_Metal_surface_detection - This is a final project for CoderSchool Machine Learning bootcamp on 29/12/2021.
CS_Final_Metal_surface_detection This is a final project for CoderSchool Machine Learning bootcamp on 29/12/2021. The project is based on the dataset
CS5242_2021 - Neural Networks and Deep Learning, NUS CS5242, 2021
CS5242_2021 Neural Networks and Deep Learning, NUS CS5242, 2021 Cloud Machine #1 : Google Colab (Free GPU) Follow this Notebook installation : https:/
Jenkins-AWS-CICD - Implement Jenkins CI/CD with AWS CodeBuild and AWS CodeDeploy, build a python flask web application.
Jenkins-AWS-CICD - Implement Jenkins CI/CD with AWS CodeBuild and AWS CodeDeploy, build a python flask web application.
Clean Machine Learning, a Coding Kata
Kata: Clean Machine Learning From Dirty Code First, open the Kata in Google Colab (or else download it) You can clone this project and launch jupyter-
CodeAnalysis - Static Code Analysis: a code comprehensive analysis platform
TCA, Tencent Cloud Code Analysis English | 简体中文 What is TCA Tencent Cloud Code A
Minimal diffusion models - Minimal code and simple experiments to play with Denoising Diffusion Probabilistic Models (DDPMs)
Minimal code and simple experiments to play with Denoising Diffusion Probabilist
“Robust Lightweight Facial Expression Recognition Network with Label Distribution Training”, AAAI 2021.
EfficientFace Zengqun Zhao, Qingshan Liu, Feng Zhou. "Robust Lightweight Facial Expression Recognition Network with Label Distribution Training". AAAI
The official MegEngine implementation of the ICCV 2021 paper: GyroFlow: Gyroscope-Guided Unsupervised Optical Flow Learning
[ICCV 2021] GyroFlow: Gyroscope-Guided Unsupervised Optical Flow Learning This is the official implementation of our ICCV2021 paper GyroFlow. Our pres
Pymon is like nodemon but it is for python,
Pymon is like nodemon but it is for python,
Writing and posting code throughout my new journey into python!
bootleg-productions consider this account to be a journal for me to record my progress throughout my python journey feel free to copy codes from this
Code for "Retrieving Black-box Optimal Images from External Databases" (WSDM 2022)
Retrieving Black-box Optimal Images from External Databases (WSDM 2022) We propose how a user retreives an optimal image from external databases of we
Code used for the results in the paper "ClassMix: Segmentation-Based Data Augmentation for Semi-Supervised Learning"
Code used for the results in the paper "ClassMix: Segmentation-Based Data Augmentation for Semi-Supervised Learning" Getting started Prerequisites CUD
Code for Universal Semi-Supervised Semantic Segmentation models paper accepted in ICCV 2019
USSS_ICCV19 Code for Universal Semi Supervised Semantic Segmentation accepted to ICCV 2019. Full Paper available at https://arxiv.org/abs/1811.10323.
Code that accompanies the paper Semi-supervised Deep Kernel Learning: Regression with Unlabeled Data by Minimizing Predictive Variance
Semi-supervised Deep Kernel Learning This is the code that accompanies the paper Semi-supervised Deep Kernel Learning: Regression with Unlabeled Data
Get-web-images - A python code that get images from any site
image retrieval This is a python code to retrieve an image from the internet, a
Count the number of lines of code in a directory, minus the irrelevant stuff
countloc Simple library to count the lines of code in a directory (excluding stuff like node_modules) Simply just run: countloc node_modules args to
This repository contains unofficial code reproducing Agent57
Agent57 This repository contains unofficial code reproducing Agent57, which outp
Short piece of code to create a rainbow gif of gradual contours from two shapefiles
rainbow-elevation-gif Short piece of code to create a rainbow gif of gradual con
The code of Zero-shot learning for low-light image enhancement based on dual iteration
Zero-shot-dual-iter-LLE The code of Zero-shot learning for low-light image enhancement based on dual iteration. You can get the real night image tests
inverted pendulum fuzzy control python code (python 2.7.18)
inverted-pendulum-fuzzy-control- inverted pendulum fuzzy control python code (python 2.7.18) We have 3 general functions for 3 main steps: fuzzificati
Pytorch implementation of the paper "COAD: Contrastive Pre-training with Adversarial Fine-tuning for Zero-shot Expert Linking."
Expert-Linking Pytorch implementation of the paper "COAD: Contrastive Pre-training with Adversarial Fine-tuning for Zero-shot Expert Linking." This is
Code for ICDM2020 full paper: "Sub-graph Contrast for Scalable Self-Supervised Graph Representation Learning"
Subg-Con Sub-graph Contrast for Scalable Self-Supervised Graph Representation Learning (Jiao et al., ICDM 2020): https://arxiv.org/abs/2009.10273 Over
Official implementation of CATs: Cost Aggregation Transformers for Visual Correspondence NeurIPS'21
CATs: Cost Aggregation Transformers for Visual Correspondence NeurIPS'21 For more information, check out the paper on [arXiv]. Training with different
Pytorch implementation of SELF-ATTENTIVE VAD, ICASSP 2021
SELF-ATTENTIVE VAD: CONTEXT-AWARE DETECTION OF VOICE FROM NOISE (ICASSP 2021) Pytorch implementation of SELF-ATTENTIVE VAD | Paper | Dataset Yong Rae
Django Fett is an incomplete code generator used on several projects
Django Fett Django Fett is an incomplete code generator used on several projects. This is an attempt to clean it up and make it public for consumption
Exploiting CVE-2021-44228 in Unifi Network Application for remote code execution and more
Log4jUnifi Exploiting CVE-2021-44228 in Unifi Network Application for remote cod
Python code that get the name and ip address of a computer/laptop
IP Address This is a python code that provides the name and the internet protocol address of the computer. You need to install socket pip install sock
Zalo AI challenge 2021 5K-Compliance
Zalo AI challenge 2021 5K-Compliance Prepare data: Dữ liệu của ban tổ chức cung
Python Fanduel API (2021) - Lineup Automation
Southpaw is a python package that provides access to the Fanduel API. Optimize your DFS experience by programmatically updating your lineups, analyzin
This is a pytest plugin, that enables you to test your code that relies on a running MongoDB database
This is a pytest plugin, that enables you to test your code that relies on a running MongoDB database. It allows you to specify fixtures for MongoDB process and client.
A collection of Python library code for building Python applications.
Abseil Python Common Libraries This repository is a collection of Python library code for building Python applications. The code is collected from Goo
WyPyPlus is a minimal wiki in 42 lines of Python code.
🍦 WyPyPlus: A personal wiki in 42 lines of code 🍦 WyPyPlus (pronounced "whippy plus") is a minimalist wiki server in 42 lines of code based on wypy
WhirlEdit, an excellent {code} editor /
HELP! If you're experienced, I want you to make an executable for your platform (windows/mac/linux) and help me.. For more info get in touch at whirlp
General purpose Slater-Koster tight-binding code for electronic structure calculations
tight-binder Introduction General purpose tight-binding code for electronic structure calculations based on the Slater-Koster approximation. The code
Code repository accompanying the paper "On Adversarial Robustness: A Neural Architecture Search perspective"
On Adversarial Robustness: A Neural Architecture Search perspective Preparation: Clone the repository: https://github.com/tdchaitanya/nas-robustness.g
Auerswald COMpact 8.0B Backdoors exploit
CVE-2021-40859 Auerswald COMpact 8.0B Backdoors exploit About Backdoors were discovered in Auerswald COMpact 5500R 7.8A and 8.0B devices, that allow a
iloveflask is a Python library to collect functions that help a flask developer generate reports, config files and repeat code.
I Love Flask iloveflask is a Python library to collect functions that help a flask developer generate reports, config files and repeat code. Installat
Code for "Intra-hour Photovoltaic Generation Forecasting based on Multi-source Data and Deep Learning Methods."
pv_predict_unet-lstm Code for "Intra-hour Photovoltaic Generation Forecasting based on Multi-source Data and Deep Learning Methods." IEEE Transactions
Pytorch implementation of Masked Auto-Encoder
Masked Auto-Encoder (MAE) Pytorch implementation of Masked Auto-Encoder: Kaiming He, Xinlei Chen, Saining Xie, Yanghao Li, Piotr Dollár, Ross Girshick
Source code of AAAI 2022 paper "Towards End-to-End Image Compression and Analysis with Transformers".
Towards End-to-End Image Compression and Analysis with Transformers Source code of our AAAI 2022 paper "Towards End-to-End Image Compression and Analy
CVE-2021-43936 is a critical vulnerability (CVSS3 10.0) leading to Remote Code Execution (RCE) in WebHMI Firmware.
CVE-2021-43936 CVE-2021-43936 is a critical vulnerability (CVSS3 10.0) leading to Remote Code Execution (RCE) in WebHMI Firmware. This vulnerability w
All solutions for the 2021 Advent of Code event.
Advent of Code 2021 Solutions All solutions for the 2021 Advent of Code event. Setup Create a file called .session. Go to adventofcode.com and copy th
A similarity measurer on two programming assignments on Online Judge.
A similarity measurer on two programming assignments on Online Judge. Algorithm implementation details are at here. Install Recommend OS: Ubuntu 20.04
This is Gaurav's IP Project Completed in the year session of 2021-2022.
The Analyser by Gaurav Rayat Why this Project? Today we are continuously hearing about growth in Crime rates and the number of murders executed day by
Deep Semisupervised Multiview Learning With Increasing Views (IEEE TCYB 2021, PyTorch Code)
Deep Semisupervised Multiview Learning With Increasing Views (ISVN, IEEE TCYB) Peng Hu, Xi Peng, Hongyuan Zhu, Liangli Zhen, Jie Lin, Huaibai Yan, Dez
A command-line tool to flash python code to Codey Rocky without having to use the online mblock5 IDE.
What? A command-line tool to flash python code to Codey Rocky without having to use the online mblock5 IDE. Description This is a very low-effort proj
The code of paper "Block Modeling-Guided Graph Convolutional Neural Networks".
Block Modeling-Guided Graph Convolutional Neural Networks This repository contains the demo code of the paper: Block Modeling-Guided Graph Convolution
Official code for "InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization" (ICLR 2020, spotlight)
InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization Authors: Fan-yun Sun, Jordan Hoffm
Code for "SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism"
SUGAR Code for "SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism" Overview train.py: the cor
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
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
code for "Self-supervised edge features for improved Graph Neural Network training", arxivlink
Self-supervised edge features for improved Graph Neural Network training Data availability: Here is a link to the raw data for the organoids dataset.
[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
Code for hyperboloid embeddings for knowledge graph entities
Implementation for the papers: Self-Supervised Hyperboloid Representations from Logical Queries over Knowledge Graphs, Nurendra Choudhary, Nikhil Rao,
Code to generate datasets used in "How Useful is Self-Supervised Pretraining for Visual Tasks?"
Synthetic dataset rendering Framework for producing the synthetic datasets used in: How Useful is Self-Supervised Pretraining for Visual Tasks? Alejan
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
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 (
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
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
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
Code for the paper: Audio-Visual Scene Analysis with Self-Supervised Multisensory Features
[Paper] [Project page] This repository contains code for the paper: Andrew Owens, Alexei A. Efros. Audio-Visual Scene Analysis with Self-Supervised Mu
PyTorch code for training MM-DistillNet for multimodal knowledge distillation
There is More than Meets the Eye: Self-Supervised Multi-Object Detection and Tracking with Sound by Distilling Multimodal Knowledge MM-DistillNet is a
Code for the paper: Fighting Fake News: Image Splice Detection via Learned Self-Consistency
Fighting Fake News: Image Splice Detection via Learned Self-Consistency [paper] [website] Minyoung Huh *12, Andrew Liu *1, Andrew Owens1, Alexei A. Ef
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
Some code that takes a pipe-separated input and converts that into a table!
tablemaker A program that takes an input: a | b | c # With comments as well. e | f | g h | i |jk And converts it to a table: ┌───┬───┬────┐ │ a │ b │
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
Official implementation for paper Knowledge Bridging for Empathetic Dialogue Generation (AAAI 2021).
Knowledge Bridging for Empathetic Dialogue Generation This is the official implementation for paper Knowledge Bridging for Empathetic Dialogue Generat
Auerswald COMpact 8.0B Backdoors exploit
CVE-2021-40859 Auerswald COMpact 8.0B Backdoors exploit About Backdoors were discovered in Auerswald COMpact 5500R 7.8A and 8.0B devices, that allow a