7552 Repositories
Python CryptoForecasting-using-Machine-Learning-PART-I- Libraries
Elucidating Robust Learning with Uncertainty-Aware Corruption Pattern Estimation
Elucidating Robust Learning with Uncertainty-Aware Corruption Pattern Estimation Introduction 📋 Official implementation of Explainable Robust Learnin
Companion code for the paper "Meta-Learning the Search Distribution of Black-Box Random Search Based Adversarial Attacks" by Yatsura et al.
META-RS This is the companion code for the paper "Meta-Learning the Search Distribution of Black-Box Random Search Based Adversarial Attacks" by Yatsu
A denoising diffusion probabilistic model synthesises galaxies that are qualitatively and physically indistinguishable from the real thing.
Realistic galaxy simulation via score-based generative models Official code for 'Realistic galaxy simulation via score-based generative models'. We us
The Timescale NFT Starter Kit is a step-by-step guide to get up and running with collecting, storing, analyzing and visualizing NFT data from OpenSea, using PostgreSQL and TimescaleDB.
Timescale NFT Starter Kit The Timescale NFT Starter Kit is a step-by-step guide to get up and running with collecting, storing, analyzing and visualiz
Let's learn how to build, release and operate your containerized applications to Amazon ECS and AWS Fargate using AWS Copilot.
🚀 Welcome to AWS Copilot Workshop In this workshop, you'll learn how to build, release and operate your containerised applications to Amazon ECS and
Matplotlib Image labeller for classifying images
mpl-image-labeller Use Matplotlib to label images for classification. Works anywhere Matplotlib does - from the notebook to a standalone gui! For more
Generate malicious files using recently published homoglyphic-attack (CVE-2021-42694)
CVE-2021-42694 Generate malicious files using recently published homoglyph-attack vulnerability, which was discovered at least in C, C++, C#, Go, Pyth
User Authentication in Flask using Flask-Login
User-Authentication-in-Flask Set up & Installation. 1 .Clone/Fork the git repo and create an environment Windows git clone https://github.com/Dev-Elie
This is a tutorial on how to make a Discord Bot using the discord.py library
HowToMakeADiscordBot This Github repository is here to help you code a Discord Bot using the discord.py library! 1 - Setup: Download the code inside t
This is an auto-ML tool specialized in detecting of outliers
Auto-ML tool specialized in detecting of outliers Description This tool will allows you, with a Dash visualization, to compare 10 models of machine le
Use MATLAB to simulate the signal and extract features. Use PyTorch to build and train deep network to do spectrum sensing.
Deep-Learning-based-Spectrum-Sensing Use MATLAB to simulate the signal and extract features. Use PyTorch to build and train deep network to do spectru
Searching info from Google using Python Scrapy
Python-Search-Engine-Scrapy || Python-爬虫-索引/利用爬虫获取谷歌信息**/ Searching info from Google using Python Scrapy /* 利用 PYTHON 爬虫获取天气信息,以及城市信息和资料**/ translatio
Converting Html files to pdf using python script, pdfkit module and wkhtmltopdf.
Html-to-pdf-pdfkit-wkhtml- This repository has code for converting local html files and online html resources into pdf. It is an python script which u
Algorithms covered in the Bioinformatics Course part of the Cambridge Computer Science Tripos
Bioinformatics This is a repository of all the algorithms covered in the Bioinformatics Course part of the Cambridge Computer Science Tripos Algorithm
Flames Calculater App used to calculate flames status between two names created using python's Flask web framework.
Flames Finder Web App Flames Calculater App used to calculate flames status between two names created using python's Flask web framework. First, App g
Implementation for paper "Towards the Generalization of Contrastive Self-Supervised Learning"
Contrastive Self-Supervised Learning on CIFAR-10 Paper "Towards the Generalization of Contrastive Self-Supervised Learning", Weiran Huang, Mingyang Yi
Data Poisoning based on Adversarial Attacks using Non-Robust Features
Data Poisoning based on Adversarial Attacks using Non-Robust Features Usage python main.py [-h] [--gpu | -g GPU] [--eps |-e EPSILON] [--pert | -p PER
Responsive Doc. scanner using U^2-Net, Textcleaner and Tesseract
Responsive Doc. scanner using U^2-Net, Textcleaner and Tesseract Toolset U^2-Net is used for background removal Textcleaner is used for image cleaning
The Simpsons and Machine Learning: What makes an Episode Great?
The Simpsons and Machine Learning: What makes an Episode Great? Check out my Medium article on this! PROBLEM: The Simpsons has had a decline in qualit
Developed an optimized algorithm which finds the most optimal path between 2 points in a 3D Maze using various AI search techniques like BFS, DFS, UCS, Greedy BFS and A*
Developed an optimized algorithm which finds the most optimal path between 2 points in a 3D Maze using various AI search techniques like BFS, DFS, UCS, Greedy BFS and A*. The algorithm was extremely optimal running in ~15s to ~30s for search spaces as big as 10000000 nodes where a set of 18 actions could be performed at each node in the 3D Maze.
Distort a video using Seam Carving (video) and Vibrato effect (sound)
Distort videos Applies a Seam Carving algorithm (aka liquid rescale) on every frame of a video, and a vibrato effect on the audio to distort the video
Unofficial implementation of the paper: PonderNet: Learning to Ponder in TensorFlow
PonderNet-TensorFlow This is an Unofficial Implementation of the paper: PonderNet: Learning to Ponder in TensorFlow. Official PyTorch Implementation:
🐍The nx-python plugin allows users to create a basic python application using nx commands.
🐍 NxPy: Nx Python plugin This project was generated using Nx. The nx-python plugin allows users to create a basic python application using nx command
Obfuscate ip address using different encodings
ipobfuscator How it works? Single ip address can be written in multiple ways. The most popular way is to represent ip as 4 octets separated with dots.
PyTorch implementation of UPFlow (unsupervised optical flow learning)
UPFlow: Upsampling Pyramid for Unsupervised Optical Flow Learning By Kunming Luo, Chuan Wang, Shuaicheng Liu, Haoqiang Fan, Jue Wang, Jian Sun Megvii
DiscoNet: Learning Distilled Collaboration Graph for Multi-Agent Perception [NeurIPS 2021]
DiscoNet: Learning Distilled Collaboration Graph for Multi-Agent Perception [NeurIPS 2021] Yiming Li, Shunli Ren, Pengxiang Wu, Siheng Chen, Chen Feng
Implementation of our NeurIPS 2021 paper "A Bi-Level Framework for Learning to Solve Combinatorial Optimization on Graphs".
PPO-BiHyb This is the official implementation of our NeurIPS 2021 paper "A Bi-Level Framework for Learning to Solve Combinatorial Optimization on Grap
A large-scale database for graph representation learning
A large-scale database for graph representation learning
Machine Learning with JAX Tutorials
The purpose of this repo is to make it easy to get started with JAX. It contains my "Machine Learning with JAX" series of tutorials (YouTube videos and Jupyter Notebooks) as well as the content I found useful while learning JAX.
Object tracking using YOLO and a tracker(KCF, MOSSE, CSRT) in openCV
Object tracking using YOLO and a tracker(KCF, MOSSE, CSRT) in openCV File YOLOv3 weight can be downloaded
An API built to format given addresses using Python and Flask.
An API built to format given addresses using Python and Flask. About The API returns properly formatted data, i.e. removing duplicate fields, distingu
Animate molecular orbital transitions using Psi4 and Blender
Molecular Orbital Transitions (MOT) Animate molecular orbital transitions using Psi4 and Blender Author: Maximilian Paradiz Dominguez, University of A
A facial recognition program that plays a alarm (mp3 file) when a person i seen in the room. A basic theif using Python and OpenCV
Home-Security-Demo A facial recognition program that plays a alarm (mp3 file) when a person is seen in the room. A basic theif using Python and OpenCV
An original implementation of "MetaICL Learning to Learn In Context" by Sewon Min, Mike Lewis, Luke Zettlemoyer and Hannaneh Hajishirzi
MetaICL: Learning to Learn In Context This includes an original implementation of "MetaICL: Learning to Learn In Context" by Sewon Min, Mike Lewis, Lu
LILLIE: Information Extraction and Database Integration Using Linguistics and Learning-Based Algorithms
LILLIE: Information Extraction and Database Integration Using Linguistics and Learning-Based Algorithms Based on the work by Smith et al. (2021) Query
Using Streamlit to host a multi-page tool with model specs and classification metrics, while also accepting user input values for prediction.
Predicitng_viability Using Streamlit to host a multi-page tool with model specs and classification metrics, while also accepting user input values for
This project deals with the detection of skin lesions within the ISICs dataset using YOLOv3 Object Detection with Darknet.
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. Skin Lesion detection using YOLO This project deal
fMRIprep Pipeline To Machine Learning
fMRIprep Pipeline To Machine Learning(Demo) 所有配置均在config.py文件下定义 前置环境(lilab) 各个节点均安装docker,并有fmripre的镜像 可以使用conda中的base环境(相应的第三份包之后更新) 1. fmriprep scr
This repo represents all we learned and are learning in Data Structure course.
DataStructure Journey This repo represents all we learned and are learning in Data Structure course which is based on CLRS book and is being taught by
Decision Border Visualizer for Classification Algorithms
dbv Decision Border Visualizer for Classification Algorithms Project description A python package for Machine Learning Engineers who want to visualize
Lock files using python and cmd
Python_Lock_Files Lock files using python and cmd license feel free to do whatever you want to with these files, i dont take any responsibility tho, u
Code for "Discovering Non-monotonic Autoregressive Orderings with Variational Inference" (paper and code updated from ICLR 2021)
Discovering Non-monotonic Autoregressive Orderings with Variational Inference Description This package contains the source code implementation of the
An original implementation of "MetaICL Learning to Learn In Context" by Sewon Min, Mike Lewis, Luke Zettlemoyer and Hannaneh Hajishirzi
MetaICL: Learning to Learn In Context This includes an original implementation of "MetaICL: Learning to Learn In Context" by Sewon Min, Mike Lewis, Lu
A Comprehensive Study on Learning-Based PE Malware Family Classification Methods
A Comprehensive Study on Learning-Based PE Malware Family Classification Methods Datasets Because of copyright issues, both the MalwareBazaar dataset
Convert markdown to HTML using the GitHub API and some additional tweaks with Python.
Convert markdown to HTML using the GitHub API and some additional tweaks with Python. Comes with full formula support and image compression.
The command line interface for Gradient - Gradient is an an end-to-end MLOps platform
Gradient CLI Get started: Create Account • Install CLI • Tutorials • Docs Resources: Website • Blog • Support • Contact Sales Gradient is an an end-to
PyManGenerator is a token generator for discord, it joins servers using webbot to automate everything
PyManGenerator is a token generator for discord, it joins servers using webbot to automate everything. Captcha can be done by itself unless you used your current IP Address more than once.
Weather App using openweathermap API
This is my hobby project used to learn how to use public api for project.In this i used the api of openweathermap to featch the weather details of various city across the globe by giving city name as input.
Learning hidden low dimensional dyanmics using a Generalized Onsager Principle and neural networks
OnsagerNet Learning hidden low dimensional dyanmics using a Generalized Onsager Principle and neural networks This is the original pyTorch implemenati
Face Detection and Alignment using Multi-task Cascaded Convolutional Networks (MTCNN)
Face-Detection-with-MTCNN Face detection is a computer vision problem that involves finding faces in photos. It is a trivial problem for humans to sol
Multi-Agent Reinforcement Learning for Active Voltage Control on Power Distribution Networks (MAPDN)
Multi-Agent Reinforcement Learning for Active Voltage Control on Power Distribution Networks (MAPDN) This is the implementation of the paper Multi-Age
A simple Telegram bot to extract hard-coded subtitle from videos using FFmpeg & Tesseract.
Video Subtitle Extractor Bot A simple Telegram bot to extract hard-coded subtitle from videos using FFmpeg & Tesseract. Note that the accuracy of reco
Digital Twin Mobility Profiling: A Spatio-Temporal Graph Learning Approach
Digital Twin Mobility Profiling: A Spatio-Temporal Graph Learning Approach This is the implementation of traffic prediction code in DTMP based on PyTo
Telegram AI chat bot written in Python using Pyrogram
Aurora_Al Just another Telegram AI chat bot written in Python using Pyrogram. A public running instance can be found on telegram as @AuroraAl. Require
A program to generate random numbers b/w 0 to 10 using time
random-num-using-time A program to generate random numbers b/w 0 to 10 using time it uses python's in-built module datetime and an equation which retu
This is a simple python flask web app that implements geometric calculations for three shapes given the user's input for radius and height. It is recommended this app be run using a python virtual environment, but not necessary for success. Unit tests are also included.
Geometry Calculator Web The is a simple Flask-based web application that uses a Geometry Calculator Tool created out of assignments from my Intro to P
Python scripts using the Mediapipe models for Halloween.
Mediapipe-Halloween-Examples Python scripts using the Mediapipe models for Halloween. WHY Mainly for fun. But this repository also includes useful exa
Robocop is your personal mini voice assistant made using Python.
Robocop-VoiceAssistant To use this project, you should have python installed in your system. If you don't have python installed, install it beforehand
Pytorch implementation of Straight Sampling Network For Point Cloud Learning (ICIP2021).
Pytorch code for SS-Net This is a pytorch implementation of Straight Sampling Network For Point Cloud Learning (ICIP2021). Environment Code is tested
Fun program to overlay a mask to yourself using a webcam
Superhero Mask Overlay Description Simple project made for fun. It consists of placing a mask (a PNG image with transparent background) on your face.
A project that uses optical flow and machine learning to detect aimhacking in video clips.
waldo-anticheat A project that aims to use optical flow and machine learning to visually detect cheating or hacking in video clips from fps games. Che
Implementation for HFGI: High-Fidelity GAN Inversion for Image Attribute Editing
HFGI: High-Fidelity GAN Inversion for Image Attribute Editing High-Fidelity GAN Inversion for Image Attribute Editing Update: We released the inferenc
Generic image compressor for machine learning. Pytorch code for our paper "Lossy compression for lossless prediction".
Lossy Compression for Lossless Prediction Using: Training: This repostiory contains our implementation of the paper: Lossy Compression for Lossless Pr
[ICCV'21] Learning Conditional Knowledge Distillation for Degraded-Reference Image Quality Assessment
CKDN The official implementation of the ICCV2021 paper "Learning Conditional Knowledge Distillation for Degraded-Reference Image Quality Assessment" O
Dynamic Visual Reasoning by Learning Differentiable Physics Models from Video and Language (NeurIPS 2021)
VRDP (NeurIPS 2021) Dynamic Visual Reasoning by Learning Differentiable Physics Models from Video and Language Mingyu Ding, Zhenfang Chen, Tao Du, Pin
Simple, hackable offline speech to text - using the VOSK-API.
Simple, hackable offline speech to text - using the VOSK-API.
Fast and Easy-to-use Distributed Graph Learning for PyTorch Geometric
Fast and Easy-to-use Distributed Graph Learning for PyTorch Geometric
A complete end-to-end machine learning portal that covers processes starting from model training to the model predicting results using FastAPI.
Machine Learning Portal Goal Application Workflow Process Design Live Project Goal A complete end-to-end machine learning portal that covers processes
A simple command-line tracert implementation in Python 3 using ICMP packets
Traceroute A simple command-line tracert implementation in Python 3 using ICMP packets Details Traceroute is a networking tool designed for tracing th
Ralph is a command-line tool to fetch, extract, convert and push your tracking logs from various storage backends to your LRS or any other compatible storage or database backend.
Ralph is a command-line tool to fetch, extract, convert and push your tracking logs (aka learning events) from various storage backends to your
Command-line script to upload videos to Youtube using theYoutube APIv3.
Introduction Command-line script to upload videos to Youtube using theYoutube APIv3. It should work on any platform (GNU/Linux, BSD, OS X, Windows, ..
Short PhD seminar on Machine Learning Security (Adversarial Machine Learning)
Short PhD seminar on Machine Learning Security (Adversarial Machine Learning)
Chinese NER(Named Entity Recognition) using BERT(Softmax, CRF, Span)
Chinese NER(Named Entity Recognition) using BERT(Softmax, CRF, Span)
TAug :: Time Series Data Augmentation using Deep Generative Models
TAug :: Time Series Data Augmentation using Deep Generative Models Note!!! The package is under development so be careful for using in production! Fea
A Bot Upload file|video To Telegram using given Links.
A Bot Upload file|video To Telegram using given Links.
This python code will get requests from SET (The Stock Exchange of Thailand) a previously-close stock price and return it in Thai Baht currency using beautiful soup 4 HTML scrapper.
This python code will get requests from SET (The Stock Exchange of Thailand) a previously-close stock price and return it in Thai Baht currency using beautiful soup 4 HTML scrapper.
A document scanner application for laptops/desktops developed using python, Tkinter and OpenCV.
DcoumentScanner A document scanner application for laptops/desktops developed using python, Tkinter and OpenCV. Directly install the .exe file to inst
Testing Calculations in Python, using OOP (Object-Oriented Programming)
Testing Calculations in Python, using OOP (Object-Oriented Programming) Create environment with venv python3 -m venv venv Activate environment . venv
[NeurIPS 2021] Official implementation of paper "Learning to Simulate Self-driven Particles System with Coordinated Policy Optimization".
Code for Coordinated Policy Optimization Webpage | Code | Paper | Talk (English) | Talk (Chinese) Hi there! This is the source code of the paper “Lear
Image inpainting using Gaussian Mixture Models
dmfa_inpainting Source code for: MisConv: Convolutional Neural Networks for Missing Data (to be published at WACV 2022) Estimating conditional density
Anderson Acceleration for Deep Learning
Anderson Accelerated Deep Learning (AADL) AADL is a Python package that implements the Anderson acceleration to speed-up the training of deep learning
Deep Illuminator is a data augmentation tool designed for image relighting. It can be used to easily and efficiently generate a wide range of illumination variants of a single image.
Deep Illuminator Deep Illuminator is a data augmentation tool designed for image relighting. It can be used to easily and efficiently generate a wide
SurvITE: Learning Heterogeneous Treatment Effects from Time-to-Event Data
SurvITE: Learning Heterogeneous Treatment Effects from Time-to-Event Data SurvITE: Learning Heterogeneous Treatment Effects from Time-to-Event Data Au
Code for "Learning Graph Cellular Automata"
Learning Graph Cellular Automata This code implements the experiments from the NeurIPS 2021 paper: "Learning Graph Cellular Automata" Daniele Grattaro
Open source single image super-resolution toolbox containing various functionality for training a diverse number of state-of-the-art super-resolution models. Also acts as the companion code for the IEEE signal processing letters paper titled 'Improving Super-Resolution Performance using Meta-Attention Layers’.
Deep-FIR Codebase - Super Resolution Meta Attention Networks About This repository contains the main coding framework accompanying our work on meta-at
The official repository for "Intermediate Layers Matter in Momentum Contrastive Self Supervised Learning" paper.
Intermdiate layer matters - SSL The official repository for "Intermediate Layers Matter in Momentum Contrastive Self Supervised Learning" paper. Downl
Meta-Learning Sparse Implicit Neural Representations (NeurIPS 2021)
Meta-SparseINR Official PyTorch implementation of "Meta-learning Sparse Implicit Neural Representations" (NeurIPS 2021) by Jaeho Lee*, Jihoon Tack*, N
Node Dependent Local Smoothing for Scalable Graph Learning
Node Dependent Local Smoothing for Scalable Graph Learning Requirements Environments: Xeon Gold 5120 (CPU), 384GB(RAM), TITAN RTX (GPU), Ubuntu 16.04
A collection of Google research projects related to Federated Learning and Federated Analytics.
Federated Research Federated Research is a collection of research projects related to Federated Learning and Federated Analytics. Federated learning i
This repo is the official implementation of "L2ight: Enabling On-Chip Learning for Optical Neural Networks via Efficient in-situ Subspace Optimization".
L2ight is a closed-loop ONN on-chip learning framework to enable scalable ONN mapping and efficient in-situ learning. L2ight adopts a three-stage learning flow that first calibrates the complicated photonic circuit states under challenging physical constraints, then performs photonic core mapping via combined analytical solving and zeroth-order optimization.
[peer review] An Arbitrary Scale Super-Resolution Approach for 3D MR Images using Implicit Neural Representation
ArSSR This repository is the pytorch implementation of our manuscript "An Arbitrary Scale Super-Resolution Approach for 3-Dimensional Magnetic Resonan
The codes of paper 'Active-LATHE: An Active Learning Algorithm for Boosting the Error exponent for Learning Homogeneous Ising Trees'
Active-LATHE: An Active Learning Algorithm for Boosting the Error exponent for Learning Homogeneous Ising Trees This project contains the codes of pap
The Official Implementation of Neural View Synthesis and Matching for Semi-Supervised Few-Shot Learning of 3D Pose [NIPS 2021].
Neural View Synthesis and Matching for Semi-Supervised Few-Shot Learning of 3D Pose Release Notes The offical PyTorch implementation of Neural View Sy
OREO: Object-Aware Regularization for Addressing Causal Confusion in Imitation Learning (NeurIPS 2021)
OREO: Object-Aware Regularization for Addressing Causal Confusion in Imitation Learning (NeurIPS 2021) Video demo We here provide a video demo from co
This is the official implementation for the paper "(Almost) Free Incentivized Exploration from Decentralized Learning Agents" in NeurIPS 2021.
Observe then Incentivize Experiments This is the code used for the paper "(Almost) Free Incentivized Exploration from Decentralized Learning Agents",
[NeurIPS 2021] A weak-shot object detection approach by transferring semantic similarity and mask prior.
TransMaS This repository is the official pytorch implementation of the following paper: NIPS2021 Mixed Supervised Object Detection by TransferringMask
Regularized Frank-Wolfe for Dense CRFs: Generalizing Mean Field and Beyond
CRF - Conditional Random Fields A library for dense conditional random fields (CRFs). This is the official accompanying code for the paper Regularized
Learning where to learn - Gradient sparsity in meta and continual learning
Learning where to learn - Gradient sparsity in meta and continual learning In this paper, we investigate gradient sparsity found by MAML in various co
[NeurIPS 2021] Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods
Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods Large Scale Learning on Non-Homophilous Graphs: New Benchmark
Official implementation of DreamerPro: Reconstruction-Free Model-Based Reinforcement Learning with Prototypical Representations in TensorFlow 2
DreamerPro Official implementation of DreamerPro: Reconstruction-Free Model-Based Reinforcement Learning with Prototypical Representations in TensorFl