7552 Repositories
Python CryptoForecasting-using-Machine-Learning-PART-I- Libraries
Simple implementation of authentication in projects using FastAPI
Fast Auth Facilita implementação de um sistema de autenticação básico e uso de uma sessão de banco de dados em projetos com tFastAPi. Instalação e con
AbelNN: Deep Learning Python module from scratch
AbelNN: Deep Learning Python module from scratch I have implemented several neural networks from scratch using only Numpy. I have designed the module
Using a Seq2Seq RNN architecture via TensorFlow to predict future Bitcoin prices
Recurrent Bitcoin Network A Data Science Thesis Project About This repository contains the source code for implementing Bitcoin price prediciton using
Text Classification Using LSTM
Text classification is the task of assigning a set of predefined categories to free text. Text classifiers can be used to organize, structure, and categorize pretty much anything. For example, new articles can be organized by topics, support tickets can be organized by urgency, chat conversations can be organized by language, brand mentions can be organized by sentiment, and so on.
Test symmetries with sklearn decision tree models
Test symmetries with sklearn decision tree models Setup Begin from an environment with a recent version of python 3. source setup.sh Leave the enviro
Tools for Optuna, MLflow and the integration of both.
HPOflow - Sphinx DOC Tools for Optuna, MLflow and the integration of both. Detailed documentation with examples can be found here: Sphinx DOC Table of
Tool which allow you to detect and translate text.
Text detection and recognition This repository contains tool which allow to detect region with text and translate it one by one. Description Two pretr
A Python 3.6+ package to run .many files, where many programs written in many languages may exist in one file.
RunMany Intro | Installation | VSCode Extension | Usage | Syntax | Settings | About A tool to run many programs written in many languages from one fil
This is a text summarizing tool written in Python
Summarize Written by: Ling Li Ya This is a text summarizing tool written in Python. User Guide Some things to note: The application is accessible here
A learning-based data collection tool for human segmentation
FullBodyFilter A Learning-Based Data Collection Tool For Human Segmentation Contents Documentation Source Code and Scripts Overview of Project Usage O
QR fixer part is standalone but for image to FQR conversion
f-qr-fixer QR fixer part is standalone but for image to FQR conversion it requires Pillow (can be installed with easy_install), qrtools (on ubuntu the
A tool for removing PUPs using signatures
Unwanted program removal tool A tool for removing PUPs using signatures What is the unwanted program removal tool? The unwanted program removal tool i
Learning-based agent for Google Research Football
TiKick 1.Introduction Learning-based agent for Google Research Football Code accompanying the paper "TiKick: Towards Playing Multi-agent Football Full
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
Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising
Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising
Image captioning service for healthcare domains in Vietnamese using VLP
Image captioning service for healthcare domains in Vietnamese using VLP This service is a web service that provides image captioning services for heal
[SIGMETRICS 2022] One Proxy Device Is Enough for Hardware-Aware Neural Architecture Search
One Proxy Device Is Enough for Hardware-Aware Neural Architecture Search paper | website One Proxy Device Is Enough for Hardware-Aware Neural Architec
Deep-learning X-Ray Micro-CT image enhancement, pore-network modelling and continuum modelling
EDSR modelling A Github repository for deep-learning image enhancement, pore-network and continuum modelling from X-Ray Micro-CT images. The repositor
Deep Learning Algorithms for Hedging with Frictions
Deep Learning Algorithms for Hedging with Frictions This repository contains the Forward-Backward Stochastic Differential Equation (FBSDE) solver and
Learning Multiresolution Matrix Factorization and its Wavelet Networks on Graphs
Project Learning Multiresolution Matrix Factorization and its Wavelet Networks on Graphs, https://arxiv.org/pdf/2111.01940.pdf. Authors Truong Son Hy
Source Code for ICSE 2022 Paper - ``Can We Achieve Fairness Using Semi-Supervised Learning?''
Fair-SSL Source Code for ICSE 2022 Paper - Can We Achieve Fairness Using Semi-Supervised Learning? Ethical bias in machine learning models has become
Codes for CVPR2021 paper "PWCLO-Net: Deep LiDAR Odometry in 3D Point Clouds Using Hierarchical Embedding Mask Optimization"
PWCLO-Net: Deep LiDAR Odometry in 3D Point Clouds Using Hierarchical Embedding Mask Optimization (CVPR 2021) This is the official implementation of PW
An Open-Source Toolkit for Prompt-Learning.
An Open-Source Framework for Prompt-learning. Overview • Installation • How To Use • Docs • Paper • Citation • What's New? Nov 2021: Now we have relea
Experiments and code to generate the GINC small-scale in-context learning dataset from "An Explanation for In-context Learning as Implicit Bayesian Inference"
GINC small-scale in-context learning dataset GINC (Generative In-Context learning Dataset) is a small-scale synthetic dataset for studying in-context
Code for NeurIPS 2021 paper "Curriculum Offline Imitation Learning"
README The code is based on the ILswiss. To run the code, use python run_experiment.py --nosrun -e your YAML file -g gpu id Generally, run_experim
Causal-BALD: Deep Bayesian Active Learning of Outcomes to Infer Treatment-Effects from Observational Data.
causal-bald | Abstract | Installation | Example | Citation | Reproducing Results DUE An implementation of the methods presented in Causal-BALD: Deep B
Official implementation of "Multi-Glimpse Network: A Robust and Efficient Classification Architecture based on Recurrent Downsampled Attention" (BMVC 2021).
Multi-Glimpse Network Multi-Glimpse Network: A Robust and Efficient Classification Architecture based on Recurrent Downsampled Attention arXiv Require
Code for ICMI2020 and ICMI2021 papers: "Studying Person-Specific Pointing and Gaze Behavior for Multimodal Referencing of Outside Objects from a Moving Vehicle" and "ML-PersRef: A Machine Learning-based Personalized Multimodal Fusion Approach for Referencing Outside Objects From a Moving Vehicle"
ML-PersRef This repository has python code (in jupyter notebooks) for both of the following papers: ML-PersRef: A Machine Learning-based Personalized
Geometric Algebra package for JAX
JAXGA - JAX Geometric Algebra GitHub | Docs JAXGA is a Geometric Algebra package on top of JAX. It can handle high dimensional algebras by storing onl
Home solar infrastructure (with Peimar Inverter) monitoring based on Raspberry Pi 3 B+ using Grafana, InfluxDB, Custom Python Collector and Shelly EM.
raspberry-solar-mon Home solar infrastructure (with Peimar Inverter) monitoring based on Raspberry Pi 3 B+ using Grafana, InfluxDB, Custom Python Coll
Create shortcuts on Windows to your Python, EXE, Batch files or any other file using a GUI made with PySimpleGUI
shor Windows Shortcut Creation Create Windows Shortcuts to your python programs and any other file easily using this application created using PySimpl
Machine Learning approach for quantifying detector distortion fields
DistortionML Machine Learning approach for quantifying detector distortion fields. This project is a feasibility study for training a surrogate model
script to analyze EQ decay using python
pyq_decay script to analyze EQ decay using python PyQ Decay ver 1.0 A pythonic script to analyze EQ aftershock decay using method of Omori (1894), Mog
paper: Hyperspectral Remote Sensing Image Classification Using Deep Convolutional Capsule Network
DC-CapsNet This is a tensorflow and keras based implementation of DC-CapsNet for HSI in the Remote Sensing Letters R. Lei et al., "Hyperspectral Remot
Making a simple app using React, Flask and MySQL.
Samys-Cookbook Making a simple app using React and Flask. What This will be a simple site to host my recipes. It will have a react front-end, a flask
[NeurIPS 2021] Code for Unsupervised Learning of Compositional Energy Concepts
Unsupervised Learning of Compositional Energy Concepts This is the pytorch code for the paper Unsupervised Learning of Compositional Energy Concepts.
A visualisation tool for Deep Reinforcement Learning
DRLVIS - Visualising Deep Reinforcement Learning Created by Marios Sirtmatsis with the support of Alex Bäuerle. DRLVis is an application used for visu
Flappy Bird clone in Python using Pyglet
python_Flappy-Bird This is the Game Flappy Bird which was originally developt by Dong Nguyen under .Gears recreated in Python. Requirements (used to d
color detection using python
colordetection color detection using python In this color detection Python project, we are going to build an application through which you can automat
UV matrix decompostion using movielens dataset
UV-matrix-decompostion-with-kfold UV matrix decompostion using movielens dataset upload the 'ratings.dat' file install the following python libraries
Automatic deep learning for image classification.
AutoDL AutoDL automates machine learning tasks enabling you to easily achieve strong predictive performance in your applications. With just a few line
Implementation of association rules mining algorithms (Apriori|FPGrowth) using python.
Association Rules Mining Using Python Implementation of association rules mining algorithms (Apriori|FPGrowth) using python. As a part of hw1 code in
You can easily send campaigns, e-marketing have actually account using cash will thank you for using our tools, and you can support our Vodafone Cash +201090788026
*** Welcome User Sorry I Mean Hello Brother ✓ Devolper and Design : Mokhtar Abdelkreem ========================================== You Can Follow Us O
python script for hack gmail account using brute force attack
#Creator: johnry #coded by john ry GBrute python script for hack gmail account using brute force attack Commands apt update && apt upgrade git clone h
NitroFE is a Python feature engineering engine which provides a variety of modules designed to internally save past dependent values for providing continuous calculation.
NitroFE is a Python feature engineering engine which provides a variety of modules designed to internally save past dependent values for providing continuous calculation.
A python library for highly configurable transformers - easing model architecture search and experimentation.
A python library for highly configurable transformers - easing model architecture search and experimentation.
PyTorch implementation of "PatchGame: Learning to Signal Mid-level Patches in Referential Games" to appear in NeurIPS 2021
PatchGame: Learning to Signal Mid-level Patches in Referential Games This repository is the official implementation of the paper - "PatchGame: Learnin
[NeurIPS 2021] PyTorch Code for Accelerating Robotic Reinforcement Learning with Parameterized Action Primitives
Robot Action Primitives (RAPS) This repository is the official implementation of Accelerating Robotic Reinforcement Learning via Parameterized Action
JORLDY an open-source Reinforcement Learning (RL) framework provided by KakaoEnterprise
Repository for Open Source Reinforcement Learning Framework JORLDY
Active Learning demo using two small datasets
ActiveLearningDemo How to run step one put the dataset folder and use command below to split the dataset to the required structure run utils.py For ea
Generate malicious files using recently published bidi-attack (CVE-2021-42574)
CVE-2021-42574 - Code generator Generate malicious files using recently published bidi-attack vulnerability, which was discovered in Unicode Specifica
Convert a collection of features to a fixed-dimensional matrix using the hashing trick.
FeatureHasher Convert a collection of features to a fixed-dimensional matrix using the hashing trick. Note, this requires Jina=2.2.4. Example Here I
Distilling Motion Planner Augmented Policies into Visual Control Policies for Robot Manipulation (CoRL 2021)
Distilling Motion Planner Augmented Policies into Visual Control Policies for Robot Manipulation [Project website] [Paper] This project is a PyTorch i
AutoTabular automates machine learning tasks enabling you to easily achieve strong predictive performance in your applications.
AutoTabular AutoTabular automates machine learning tasks enabling you to easily achieve strong predictive performance in your applications. With just
This library is testing the ethics of language models by using natural adversarial texts.
prompt2slip This library is testing the ethics of language models by using natural adversarial texts. This tool allows for short and simple code and v
The spiritual successor to knockknock for PyTorch Lightning, get notified when your training ends
Who's there? The spiritual successor to knockknock for PyTorch Lightning, to get a notification when your training is complete or when it crashes duri
A (completely native) python3 wifi brute-force attack using the 100k most common passwords (2021)
wifi-bf [LINUX ONLY] A (completely native) python3 wifi brute-force attack using the 100k most common passwords (2021) This script is purely for educa
iris - Open Source Photos Platform Powered by PyTorch
Open Source Photos Platform Powered by PyTorch. Submission for PyTorch Annual Hackathon 2021.
Official implementation of Generalized Data Weighting via Class-level Gradient Manipulation (NeurIPS 2021).
Generalized Data Weighting via Class-level Gradient Manipulation This repository is the official implementation of Generalized Data Weighting via Clas
An efficient and easy-to-use deep learning model compression framework
TinyNeuralNetwork 简体中文 TinyNeuralNetwork is an efficient and easy-to-use deep learning model compression framework, which contains features like neura
Intelligent Trading Bot: Automatically generating signals and trading based on machine learning and feature engineering
Intelligent Trading Bot: Automatically generating signals and trading based on machine learning and feature engineering
ToeholdTools is a Python package and desktop app designed to facilitate analyzing and designing toehold switches, created as part of the 2021 iGEM competition.
ToeholdTools Category Status Repository Package Build Quality A library for the analysis of toehold switch riboregulators created by the iGEM team Cit
Web scrapping tool written in python3, using regex, to get CVEs, Source and URLs.
searchcve Web scrapping tool written in python3, using regex, to get CVEs, Source and URLs. Generates a CSV file in the current directory. Uses the NI
LSB Image Steganography Using Python
Steganography is the science that involves communicating secret data in an appropriate multimedia carrier, e.g., image, audio, and video files
Data science, Data manipulation and Machine learning package.
duality Data science, Data manipulation and Machine learning package. Use permitted according to the terms of use and conditions set by the attached l
Source code of the paper Meta-learning with an Adaptive Task Scheduler.
ATS About Source code of the paper Meta-learning with an Adaptive Task Scheduler. If you find this repository useful in your research, please cite the
Using a GNSS module (Beidou + GPS) and the mapquest static map API
Using a GNSS module (Beidou + GPS) and the mapquest static map API
Implementing DeepMind's Fast Reinforcement Learning paper
Fast Reinforcement Learning This is a repo where I implement the algorithms in the paper, Fast reinforcement learning with generalized policy updates.
A simple telegram bot that resolves video urls using yt-dlp
URL to Video Telegram Bot A simple telegram bot that resolves video urls using yt-dlp Copyright (C) 2021 Vítor Vasconcellos This program is free softw
Kubeflow is a machine learning (ML) toolkit that is dedicated to making deployments of ML workflows on Kubernetes simple, portable, and scalable.
SDK: Overview of the Kubeflow pipelines service Kubeflow is a machine learning (ML) toolkit that is dedicated to making deployments of ML workflows on
Some methods for comparing network representations in deep learning and neuroscience.
Generalized Shape Metrics on Neural Representations In neuroscience and in deep learning, quantifying the (dis)similarity of neural representations ac
Distributing Deep Learning Hyperparameter Tuning for 3D Medical Image Segmentation
DistMIS Distributing Deep Learning Hyperparameter Tuning for 3D Medical Image Segmentation. DistriMIS Distributing Deep Learning Hyperparameter Tuning
Improving Generalization Bounds for VC Classes Using the Hypergeometric Tail Inversion
Improving Generalization Bounds for VC Classes Using the Hypergeometric Tail Inversion Preface This directory provides an implementation of the algori
PECOS - Prediction for Enormous and Correlated Spaces
PECOS - Predictions for Enormous and Correlated Output Spaces PECOS is a versatile and modular machine learning (ML) framework for fast learning and i
Generalized Data Weighting via Class-level Gradient Manipulation
Generalized Data Weighting via Class-level Gradient Manipulation This repository is the official implementation of Generalized Data Weighting via Clas
Official repository for the NeurIPS 2021 paper Get Fooled for the Right Reason: Improving Adversarial Robustness through a Teacher-guided curriculum Learning Approach
Get Fooled for the Right Reason Official repository for the NeurIPS 2021 paper Get Fooled for the Right Reason: Improving Adversarial Robustness throu
DSEE: Dually Sparsity-embedded Efficient Tuning of Pre-trained Language Models
DSEE Codes for [Preprint] DSEE: Dually Sparsity-embedded Efficient Tuning of Pre-trained Language Models Xuxi Chen, Tianlong Chen, Yu Cheng, Weizhu Ch
Personal thermal comfort models using digital twins: Preference prediction with BIM-extracted spatial-temporal proximity data from Build2Vec
Personal thermal comfort models using digital twins: Preference prediction with BIM-extracted spatial-temporal proximity data from Build2Vec This repo
An educational tool to introduce AI planning concepts using mobile manipulator robots.
JEDAI Explains Decision-Making AI Virtual Machine Image The recommended way of using JEDAI is to use pre-configured Virtual Machine image that is avai
Generalized and Efficient Blackbox Optimization System.
OpenBox Doc | OpenBox中文文档 OpenBox: Generalized and Efficient Blackbox Optimization System OpenBox is an efficient and generalized blackbox optimizatio
Revealing and Protecting Labels in Distributed Training
Revealing and Protecting Labels in Distributed Training
FastCover: A Self-Supervised Learning Framework for Multi-Hop Influence Maximization in Social Networks by Anonymous.
FastCover: A Self-Supervised Learning Framework for Multi-Hop Influence Maximization in Social Networks by Anonymous.
SW components and demos for visual kinship recognition. An emphasis is put on the FIW dataset-- data loaders, benchmarks, results in summary.
FIW Data Development Kit Table of Contents Introduction Families In the Wild Database Publications Organization To Do License Getting Involved Introdu
[NeurIPS 2021] “Improving Contrastive Learning on Imbalanced Data via Open-World Sampling”
Improving Contrastive Learning on Imbalanced Data via Open-World Sampling Introduction Contrastive learning approaches have achieved great success in
gtfs2vec - Learning GTFS Embeddings for comparing PublicTransport Offer in Microregions
gtfs2vec This is a companion repository for a gtfs2vec - Learning GTFS Embeddings for comparing PublicTransport Offer in Microregions publication. Vis
Evaluating deep transfer learning for whole-brain cognitive decoding
Evaluating deep transfer learning for whole-brain cognitive decoding This README file contains the following sections: Project description Repository
This repository contains a PyTorch implementation of the paper Learning to Assimilate in Chaotic Dynamical Systems.
Amortized Assimilation This repository contains a PyTorch implementation of the paper Learning to Assimilate in Chaotic Dynamical Systems. Abstract: T
This is the repository for Learning to Generate Piano Music With Sustain Pedals
SusPedal-Gen This is the official repository of Learning to Generate Piano Music With Sustain Pedals Demo Page Dataset The dataset used in this projec
Corruption Invariant Learning for Re-identification
Corruption Invariant Learning for Re-identification The official repository for Benchmarks for Corruption Invariant Person Re-identification (NeurIPS
RMNA: A Neighbor Aggregation-Based Knowledge Graph Representation Learning Model Using Rule Mining
RMNA: A Neighbor Aggregation-Based Knowledge Graph Representation Learning Model Using Rule Mining Our code is based on Learning Attention-based Embed
Implicit Model Specialization through DAG-based Decentralized Federated Learning
Federated Learning DAG Experiments This repository contains software artifacts to reproduce the experiments presented in the Middleware '21 paper "Imp
Code and results accompanying our paper titled Mixture Proportion Estimation and PU Learning: A Modern Approach at Neurips 2021 (Spotlight)
Mixture Proportion Estimation and PU Learning: A Modern Approach This repository is the official implementation of Mixture Proportion Estimation and P
The code for the NeurIPS 2021 paper "A Unified View of cGANs with and without Classifiers".
Energy-based Conditional Generative Adversarial Network (ECGAN) This is the code for the NeurIPS 2021 paper "A Unified View of cGANs with and without
Analysis code and Latex source of the manuscript describing the conditional permutation test of confounding bias in predictive modelling.
Git repositoty of the manuscript entitled Statistical quantification of confounding bias in predictive modelling by Tamas Spisak The manuscript descri
Cross-lingual Transfer for Speech Processing using Acoustic Language Similarity
Cross-lingual Transfer for Speech Processing using Acoustic Language Similarity Indic TTS Samples can be found at https://peter-yh-wu.github.io/cross-
Code for a seq2seq architecture with Bahdanau attention designed to map stereotactic EEG data from human brains to spectrograms, using the PyTorch Lightning.
stereoEEG2speech We provide code for a seq2seq architecture with Bahdanau attention designed to map stereotactic EEG data from human brains to spectro
PyTorch implementation of "PatchGame: Learning to Signal Mid-level Patches in Referential Games" to appear in NeurIPS 2021
PatchGame: Learning to Signal Mid-level Patches in Referential Games This repository is the official implementation of the paper - "PatchGame: Learnin
Bayes-Newton—A Gaussian process library in JAX, with a unifying view of approximate Bayesian inference as variants of Newton's algorithm.
Bayes-Newton Bayes-Newton is a library for approximate inference in Gaussian processes (GPs) in JAX (with objax), built and actively maintained by Wil
Companion repository to the paper accepted at the 4th ACM SIGSPATIAL International Workshop on Advances in Resilient and Intelligent Cities
Transfer learning approach to bicycle sharing systems station location planning using OpenStreetMap Companion repository to the paper accepted at the
Migration of Edge-based Distributed Federated Learning
FedFly: Towards Migration in Edge-based Distributed Federated Learning About the research Due to mobility, a device participating in Federated Learnin