Python Machine-Learning-for-Time-Series-with-Python Resources

This repository contains source code for NAACL 2019 paper "An Embarrassingly Simple Approach for Transfer Learning from Pretrained Language Models" (P

MoT - Molecular Transformer Large-scale Pretraining for Molecular Property Prediction Samsung AI Challenge for Scientific Discovery This repository is

Example code of [Tianchi AAAI2022 Security AI Challenger Program Phase 8]

DANeS - Open-source E-newspaper dataset Source: Technology vector created by macrovector - www.freepik.com. DANeS is an open-source E-newspaper datase

ExCon: Explanation-driven Supervised Contrastive Learning Link to the paper: https://arxiv.org/pdf/2111.14271.pdf Contributors of this repo: Zhibo Zha

Python bilgilerimi eğlenceli bir şekilde hatırlamak ve daha da geliştirmek için The Big Book of Small Python Projects isimli bir kitap almıştım. Bu repo kitaptaki örnek programları çalıştığım oyun alanım.

Adam Adam is a Nateve Programming Language transpiler developed using Python. Nateve Nateve is a new general domain programming language open source i

hCaptcha solver for Python Selenium. Many thanks to engageub for his hCaptcha solver userscript. This script is solely intended for the use of educati

DeepTCN TensorFlow TensorFlow (Python) implementation of multivariate time series forecasting model introduced in Chen, Y., Kang, Y., Chen, Y., & Wang

clustimage The aim of clustimage is to detect natural groups or clusters of images. Image recognition is a computer vision task for identifying and ve

DeepCurrents | Webpage | Paper DeepCurrents: Learning Implicit Representations of Shapes with Boundaries David Palmer*, Dmitriy Smirnov*, Stephanie Wa

Code for our ECCV (2020) paper A Balanced and Uncertainty-aware Approach for Partial Domain Adaptation. Prerequisites: python == 3.6.8 pytorch ==1.1.0

Website • Docs • Twitter • Join Slack Community What is Label Studio? Label Studio is an open source data labeling tool. It lets you label data types

semanticsearch This is a deep learning based semantic search platform that computes similarity scores between provided query and documents. Documents

A TCP Chatroom built with python and TCP/IP sockets, consisting of a server and multiple clients which can connect with the server and chat with each other. It also provides an Admin role with features including kicking and baning of users.

datapreprocessing_rosetta_parser I've never done any NLP or text data processing before, so I wanted to use this hackathon as a learning opportunity,

pythonBlockchain-SImple This is simple Blockchain ,miner and wallet to send crypto using python It is simple Blocchain so it can only dobasic work usi

Web Scraping with Python and Selenium The code shows how to do web scraping using Python and Selenium. We use as data the https://sbot.org.br/localize

HybridBackend Introduction HybridBackend is a training framework for deep recommenders which bridges the gap between evolving cloud infrastructure and

MongoDB with Python Implementing basic MongoDB CRUD (Create, Read, Update, Delete) queries, using Python. We can connect to a MongoDB database hosted

MySQL with Python Implementing basic MySQL CRUD (Create, Read, Update, Delete) queries, using Python. We can connect to a MySQL database hosted locall

torchx Torchx is a general framework for deep learning experiments under PyTorch based on pytorch-lightning. TODO list gan-like training wrapper text

Attention Is All You Need Paper Implementation This is my from-scratch implementation of the original transformer architecture from the following pape

GUI Pancakeswap2 and Uniswap3 trading client (and bot) (MOST ADVANCE TRADING BOT SUPPORT WINDOWS LINUX MAC) (AUTO BUY TOKEN ON LUNCH AFTER ADD LIQUIDI

ContIG: Self-supervised Multimodal Contrastive Learning for Medical Imaging with Genetics This is the code implementation of the paper "ContIG: Self-s

Multipath-Load-Balancing Method of managing incoming traffic by distributing and sharing load fairly among multiple routes from source to destination

Dart Version Manager CLI implemented with Python and Typer.

😈 Discord RAGE Python tool that allows you to automatically spam messages in Discord 🏹 Setup Make sure you have Python installed and PIP is added to

multilingual-mrc-isdg Code for the AAAI 2022 paper "Zero-Shot Cross-Lingual Machine Reading Comprehension via Inter-Sentence Dependency Graph". This r

Python 3 script unpacking statically x86 CryptOne packer. CryptOne versions: 2021/08 until now (2021/12)

Keylogger_ Um keylogger que se disfarça de um app que tira print da tela. Este programa captura o print da tela e salva ,normalmente, na pasta Picture

fastapi-jwt FastAPI native extension, easy and simple JWT auth

nertivia-selfbot (WIP) A python library for creating selfbots/automating your Nertivia account. how to use Download the nertivia_selfbot folder from t

AML Command Transfer (ACT) ACT is a lightweight tool to transfer any command from the local machine to AML or ITP, both of which are Azure Machine Lea

With this class you can receive, decrypt and handle Yeelight YLKG07YL/YLKG08YL dimmer bluetooth notifications in your python code.

Port Scanner TCP/UDP port scanner on python, usong scapy and multiprocessing. Usage python3 scanner.py [OPTIONS] IP_ADDRESS [{tcp|udp}[/[PORT|PORT-POR

DeepGeneAnnotator: A tool to annotate the gene in the genome The master thesis of the "Using deep learning to predict gene structures of the coding ge

Projeto Informações Conta do Instagram - Instagram Account Information Project Descrição - Description Projeto que exibe informações de perfil, lista

Text-to-Handwriting-using-python This is used to convert a string to an Image with Handwritten Characters. text_to_handwriting(string: str, save_to: s

Discord.py Reaction Bot MIRAI KURIYAMA A multipurpose, semi-modular Discord bot written in Python with the new discord.py module. Installing dependenc

About waec-result-analyzer A python script that fetches the grades of a student from a WAEC result in pdf format. Built for federal government college

Self-Supervised Graph Representation Learning via Topology Transformations This repository is the official PyTorch implementation of the following pap

carrotsh A simple and lightweight server that allows clients to connect and launch a shell remotely through a browser. Uses xterm.js for the frontend

The free tool QuantityTakeoff allows you to group elements from Revit and IFC models (in BIMJSON-CSV format) with just a few filters and find the required volume values for the grouped elements.

Depth Clustering This is a fast and robust algorithm to segment point clouds taken with Velodyne sensor into objects. It works with all available Velo

download-celebA-HQ Python script to download and create the celebA-HQ dataset. WARNING from the author. I believe this script is broken since a few mo

Open-ReID Open-ReID is a lightweight library of person re-identification for research purpose. It aims to provide a uniform interface for different da

UnFlow: Unsupervised Learning of Optical Flow with a Bidirectional Census Loss This repository contains the TensorFlow implementation of the paper UnF

ClearML - Auto-Magical Suite of tools to streamline your ML workflow Experiment Manager, MLOps and Data-Management ClearML Formerly known as Allegro T

PPML-TSA This repository provides all code necessary to reproduce the results reported in our paper Evaluating Privacy-Preserving Machine Learning in

NeonatalSeizureDetection Description Link: https://arxiv.org/abs/2111.15569 Citation: @misc{nagarajan2021scalable, title={Scalable Machine Learn

DeepAL: Deep Active Learning in Python Python implementations of the following active learning algorithms: Random Sampling Least Confidence [1] Margin

Camera Distortion-aware 3D Human Pose Estimation in Video with Optimization-based Meta-Learning This is the official repository of "Camera Distortion-

PyContinual (An Easy and Extendible Framework for Continual Learning) Easy to Use You can sumply change the baseline, backbone and task, and then read

Conformal time-series forecasting Implementation for Stankevičiūtė et al. "Conformal time-series forecasting", NeurIPS 2021. If you use our code in yo

Reinforcement Learning with Learned Fourier Features State-space Soft Actor-Critic Experiments Move to the state-SAC-LFF repository. cd state-SAC-LFF

[NeurIPS 2021 Spotlight] HELP: Hardware-adaptive Efficient Latency Prediction for NAS via Meta-Learning [Paper] This is Official PyTorch implementatio

Generative vs Discriminative: Rethinking The Meta-Continual Learning (NeurIPS 2021) In this repository we provide PyTorch implementations for GeMCL; a

DBE: Disentangled-Behavior-Embedding Official implementation of Learning Disentangled Behavior Embeddings (NeurIPS 2021). Environment requirement The

Unifying Behavioral and Response Diversity for Open-ended Learning in Zero-sum Games How to run our algorithm? Create the new environment using: conda

NALSM: Neuron-Astrocyte Liquid State Machine This package is a Tensorflow implementation of the Neuron-Astrocyte Liquid State Machine (NALSM) that int

QAConv Interpretable and Generalizable Person Re-Identification with Query-Adaptive Convolution and Temporal Lifting This PyTorch code is proposed in

Representation Learning on Spatial Networks This repository is the official implementation of Representation Learning on Spatial Networks. Training Ex

Realistic evaluation of transductive few-shot learning Introduction This repo contains the code for our NeurIPS 2021 submitted paper "Realistic evalua

Impression-Learning-Camera-Ready Camera ready code repo for the NeuRIPS 2021 paper: "Impression learning: Online representation learning with synaptic

Learning Transferable Adversarial Perturbations This is an official release of the paper Learning Transferable Adversarial Perturbations. The code is

Explicable Reward Design for Reinforcement Learning Agents [NeurIPS'21]

On Memorization in Probabilistic Deep Generative Models This repository contains the code necessary to reproduce the experiments in On Memorization in

Scalable Multi-Agent Reinforcement Learning 1. Featured algorithms: Value Function Factorization with Variable Agent Sub-Teams (VAST) [1] 2. Implement

PyTCI A toolbox that estimates the integration window of a sensory response using the "Temporal Context Invariance" paradigm (TCI). The TCI method Int

Deep Latent Force Models This repository contains a PyTorch implementation of the deep latent force model (DLFM), presented in the paper, Compositiona

Towards Better Understanding of Training Certifiably Robust Models against Adversarial Examples This repository is the official implementation of "Tow

Graph Augmentation Graph augmentation/self-supervision/etc. Algorithms gcn gcn+virtual node gin gin+virtual node PNA GraphTrans Augmentation methods N

Directed Graph Contrastive Learning Paper | Poster | Supplementary The PyTorch implementation of Directed Graph Contrastive Learning (DiGCL). In this

Latent Equilibrium: A unified learning theory for arbitrarily fast computation with arbitrarily slow neurons This repository contains the code to repr

Online Learning Of Neural Computations From Sparse Temporal Feedback This repository is the official implementation of the NeurIPS 2021 paper Online L

PSWE: Pooling by Sliced-Wasserstein Embedding (NeurIPS 2021) PSWE is a permutation-invariant feature aggregation/pooling method based on sliced-Wasser

Repository under construction. Example dataset, checkpoints, and training/testing scripts will be avaible soon! 💡 Collated best practices from most p

Code for "Solving Graph-based Public Good Games with Tree Search and Imitation Learning" This is the code for the paper Solving Graph-based Public Goo

TTT++ This is an official implementation for TTT++: When Does Self-supervised Test-time Training Fail or Thrive? TL;DR: Online Feature Alignment + Str

Artistic Style Transfer with Internal-external Learning and Contrastive Learning This is the official PyTorch implementation of our paper: "Artistic S

MPDL---TODO This repository is an implementation of our NeurIPS 2021 paper (Stylized Dialogue Generation with Multi-Pass Dual Learning) in PyTorch. Ci

OpenMatch: Open-set Consistency Regularization for Semi-supervised Learning with Outliers (NeurIPS 2021) This is an PyTorch implementation of OpenMatc

UOTA: Improving Self-supervised Learning with Automated Unsupervised Outlier Arbitration This repository is the official PyTorch implementation of UOT

lpips-pytorch Description Developing perceptual distance metrics is a major topic in recent image processing problems. LPIPS[1] is a state-of-the-art

NEURAL is the premiere CLI jockey replacement full stack web/app/database network automation application, providing a "no-code" web app for network engineers developed by a network engineer!

PiRank: Learning to Rank via Differentiable Sorting This repository provides a reference implementation for learning PiRank-based models as described

Introduction This repository is the official PyTorch implementation of Data-free Knowledge Distillation for Object Detection, WACV 2021. Data-free Kno

Algoritmos y Programación GIS con Python by [email protected] Introducción Python es un potente lenguaje de programación interpretado con licencia

About Astura (Python version) is the official Discord bot for the Astura Studios Discord community server developed and maintained by Ascendus and the

Metal Gear Solid: HD Textures Higher quality textures for the Metal Gear Solid series. The goal is to maximize the quality of assets that the engine w

eWarehousing Solutions Python Library This library provides convenient access to the eWarehousing Solutions API from applications written in the Pytho

Visual-Music This is a short program that takes the input from your microphone and uses OpenGL to draw a live colourful pattern Installation and Setup

prerequisites: Selnium; undetected-chromedriver. This Script is designed to order an Item provided a link from BestBuy.com only.

Step by step development of a vending coffee machine project, including tkinter, sqlite3, simulation, etc.

Large-scale pre-trained language models (PLMs) such as BERT and GPT have achieved great success and become a milestone in NLP.

FlowTorch is a PyTorch library for learning and sampling from complex probability distributions using a class of methods called Normalizing Flows.

Optimized Einsum Optimized Einsum: A tensor contraction order optimizer Optimized einsum can significantly reduce the overall execution time of einsum

Simple (and extensible) python3 externals for MaxMSP

PyDGN Wiki Description This is a Python library to easily experiment with Deep Graph Networks (DGNs). It provides automatic management of data splitti