521 Repositories
Python scikit-learn-tutorial Libraries
Learn REST API with Flask, Mysql and Docker
Learn REST API with Flask, Mysql and Docker A project for you to learn to work a flask REST api with docker and the mysql database manager! Table of C
Data Science Environment Setup in single line
datascienv is package that helps your to setup your environment in single line of code with all dependency and it is also include pyforest that provide single line of import all required ml libraries
A little side-project API for me to learn about Blockchain and Tokens
BlockChain API I built this little side project to learn more about Blockchain and Tokens. It might be maintained and implemented to other projects bu
Django Girls Tutorial Workshop
Django Girls Tutorial Workshop A log of activities during the workshop. this is an H2 git remote add origin https://github.com/ahuimanu/django_girls_t
This tutorial will guide you through the process of self-hosting Polygon
Hosting guide This tutorial will guide you through the process of self-hosting Polygon Before starting Make sure you have the following tools installe
Stochastic Gradient Trees implementation in Python
Stochastic Gradient Trees - Python Stochastic Gradient Trees1 by Henry Gouk, Bernhard Pfahringer, and Eibe Frank implementation in Python. Based on th
General purpose GPU compute framework for cross vendor graphics cards (AMD, Qualcomm, NVIDIA & friends)
General purpose GPU compute framework for cross vendor graphics cards (AMD, Qualcomm, NVIDIA & friends). Blazing fast, mobile-enabled, asynchronous and optimized for advanced GPU data processing usecases. Backed by the Linux Foundation.
Code for Findings at EMNLP 2021 paper: "Learn Continually, Generalize Rapidly: Lifelong Knowledge Accumulation for Few-shot Learning"
Learn Continually, Generalize Rapidly: Lifelong Knowledge Accumulation for Few-shot Learning This repo is for Findings at EMNLP 2021 paper: Learn Cont
demo project for django channels tutorial
django_channels_chat_official_tutorial demo project for django channels tutorial code from tutorial page: https://channels.readthedocs.io/en/stable/tu
Train a state-of-the-art yolov3 object detector from scratch!
TrainYourOwnYOLO: Building a Custom Object Detector from Scratch This repo let's you train a custom image detector using the state-of-the-art YOLOv3 c
Seaborn-image is a Python image visualization library based on matplotlib and provides a high-level API to draw attractive and informative images quickly and effectively.
seaborn-image: image data visualization Description Seaborn-image is a Python image visualization library based on matplotlib and provides a high-leve
This is a collection of simple PyTorch implementations of neural networks and related algorithms. These implementations are documented with explanations,
labml.ai Deep Learning Paper Implementations This is a collection of simple PyTorch implementations of neural networks and related algorithms. These i
Tutorial para o projeto negros.dev - A Essência do Django
Negros Dev Tutorial para o site negros.dev Este projeto foi feito com: Python 3.8.9 Django 3.1.8 Bootstrap 4.0 Como rodar o projeto? Clone esse reposi
A framework to train language models to learn invariant representations.
Invariant Language Modeling Implementation of the training for invariant language models. Motivation Modern pretrained language models are critical co
scikit-learn: machine learning in Python
scikit-learn is a Python module for machine learning built on top of SciPy and is distributed under the 3-Clause BSD license. The project was started
This is the official code of L2G, Unrolling and Recurrent Unrolling in Learning to Learn Graph Topologies.
Learning to Learn Graph Topologies This is the official code of L2G, Unrolling and Recurrent Unrolling in Learning to Learn Graph Topologies. Requirem
Lale is a Python library for semi-automated data science.
Lale is a Python library for semi-automated data science. Lale makes it easy to automatically select algorithms and tune hyperparameters of pipelines that are compatible with scikit-learn, in a type-safe fashion.
A collection of neat and practical data science and machine learning projects
Data Science A collection of neat and practical data science and machine learning projects Explore the docs » Report Bug · Request Feature Table of Co
This is the repository that includes the code material for the ESweek 2021 for the Education Class Lecture A3 "Learn to Drive (and Race!) Autonomous Vehicles"
ESweek2021_educationclassA3 This is the repository that includes the code material for the ESweek 2021 for the Education Class Lecture A3 "Learn to Dr
A tutorial presents several practical examples of how to build DAGs in Apache Airflow
Apache Airflow - Python Brasil 2021 Este tutorial apresenta vários exemplos práticos de como construir DAGs no Apache Airflow. Background Apache Airfl
OpenSea NFT API App using Python and Streamlit
opensea-nft-api-tutorial OpenSea NFT API App using Python and Streamlit Tutorial Video Walkthrough https://www.youtube.com/watch?v=49SupvcFC1M Instruc
PyPI package for scaffolding out code for decision tree models that can learn to find relationships between the attributes of an object.
Decision Tree Writer This package allows you to train a binary classification decision tree on a list of labeled dictionaries or class instances, and
Multipurpose Growtopia Server tools, can be used for newbie to learn things.
Multipurpose Growtopia Server tools, can be used for newbie to learn things.
An end-to-end regression problem of predicting the price of properties in Bangalore.
Bangalore-House-Price-Prediction An end-to-end regression problem of predicting the price of properties in Bangalore. Deployed in Heroku using Flask.
A simple hangman game for beginners trying to learn python
Hangman Game This is a simple hangman game for beginners trying to learn python. I have tried to keep it as simply as possible. Sample output Here is
Template repository to build PyTorch projects from source on any version of PyTorch/CUDA/cuDNN.
Template repository to build PyTorch projects from source on any version of PyTorch/CUDA/cuDNN.
Reimplementation of the paper "Attention, Learn to Solve Routing Problems!" in jax/flax.
JAX + Attention Learn To Solve Routing Problems Reinplementation of the paper Attention, Learn to Solve Routing Problems! using Jax and Flax. Fully su
Eland is a Python Elasticsearch client for exploring and analyzing data in Elasticsearch with a familiar Pandas-compatible API.
Python Client and Toolkit for DataFrames, Big Data, Machine Learning and ETL in Elasticsearch
Python tutorial for implementing Oxylabs' Residential Proxies with AIOHTTP
Integrating Oxylabs' Residential Proxies with AIOHTTP Requirements for the Integration For the integration to work you'll need to install aiohttp libr
Tutorial for integrating Oxylabs' Residential Proxies with Selenium
Oxylabs’ Residential Proxies integration with Selenium Requirements For the integration to work, you'll need to install Selenium on your system. You c
Beyond Paragraphs: NLP for Long Sequences
Beyond Paragraphs: NLP for Long Sequences
Transfer-Learn is an open-source and well-documented library for Transfer Learning.
Transfer-Learn is an open-source and well-documented library for Transfer Learning. It is based on pure PyTorch with high performance and friendly API. Our code is pythonic, and the design is consistent with torchvision. You can easily develop new algorithms, or readily apply existing algorithms.
AutoTabular automates machine learning tasks enabling you to easily achieve strong predictive performance in your applications.
AutoTabular automates machine learning tasks enabling you to easily achieve strong predictive performance in your applications. With just a few lines of code, you can train and deploy high-accuracy machine learning and deep learning models tabular data.
Some example scripts on pytorch
pytorch-practice Some example scripts on pytorch CONLL 2000 Chunking task Uses BiLSTM CRF loss with char CNN embeddings. To run use: cd data/conll2000
A scalable template for PyTorch projects, with examples in Image Segmentation, Object classification, GANs and Reinforcement Learning.
PyTorch Project Template is being sponsored by the following tool; please help to support us by taking a look and signing up to a free trial PyTorch P
Simple PyTorch Tutorials Zero to ALL!
PyTorchZeroToAll Quick 3~4 day lecture materials for HKUST students. Video Lectures: (RNN TBA) Youtube Bilibili Slides Lecture Slides @GoogleDrive If
PyTorch Tutorial for Deep Learning Researchers
This repository provides tutorial code for deep learning researchers to learn PyTorch. In the tutorial, most of the models were implemented with less
An IPython Notebook tutorial on deep learning for natural language processing, including structure prediction.
Table of Contents: Introduction to Torch's Tensor Library Computation Graphs and Automatic Differentiation Deep Learning Building Blocks: Affine maps,
C++ Implementation of PyTorch Tutorials for Everyone
C++ Implementation of PyTorch Tutorials for Everyone OS (Compiler)\LibTorch 1.9.0 macOS (clang 10.0, 11.0, 12.0) Linux (gcc 8, 9, 10, 11) Windows (msv
Open source guides/codes for mastering deep learning to deploying deep learning in production in PyTorch, Python, C++ and more.
Deep Learning Materials by Deep Learning Wizard Start Learning Now Please head to www.deeplearningwizard.com to start learning! It is mobile/tablet fr
A tutorial on "Bayesian Compression for Deep Learning" published at NIPS (2017).
Code release for "Bayesian Compression for Deep Learning" In "Bayesian Compression for Deep Learning" we adopt a Bayesian view for the compression of
Tutorial for surrogate gradient learning in spiking neural networks
SpyTorch A tutorial on surrogate gradient learning in spiking neural networks Version: 0.4 This repository contains tutorial files to get you started
A PyTorch implementation of Learning to learn by gradient descent by gradient descent
Intro PyTorch implementation of Learning to learn by gradient descent by gradient descent. Run python main.py TODO Initial implementation Toy data LST
Git Hooks Tutorial.
Git Hooks Tutorial My public talk about this project at Sberloga: Git Hooks Is All You Need 1. Git Hooks 101 Init git repo: mkdir git_repo cd git_repo
Deep Learning and Reinforcement Learning Library for Scientists and Engineers 🔥
TensorLayer is a novel TensorFlow-based deep learning and reinforcement learning library designed for researchers and engineers. It provides an extens
A best practice for tensorflow project template architecture.
A best practice for tensorflow project template architecture.
A PyTorch implementation of Learning to learn by gradient descent by gradient descent
Intro PyTorch implementation of Learning to learn by gradient descent by gradient descent. Run python main.py TODO Initial implementation Toy data LST
PySpark Cheat Sheet - learn PySpark and develop apps faster
This cheat sheet will help you learn PySpark and write PySpark apps faster. Everything in here is fully functional PySpark code you can run or adapt to your programs.
Learn how to responsibly deliver value with ML.
Made With ML Applied ML · MLOps · Production Join 30K+ developers in learning how to responsibly deliver value with ML. 🔥 Among the top MLOps reposit
NLPIR tutorial: pretrain for IR. pre-train on raw textual corpus, fine-tune on MS MARCO Document Ranking
pretrain4ir_tutorial NLPIR tutorial: pretrain for IR. pre-train on raw textual corpus, fine-tune on MS MARCO Document Ranking 用作NLPIR实验室, Pre-training
A collection of simple python mini projects to enhance your python skills
A collection of simple python mini projects to enhance your python skills
Source code for the paper "TearingNet: Point Cloud Autoencoder to Learn Topology-Friendly Representations"
TearingNet: Point Cloud Autoencoder to Learn Topology-Friendly Representations Created by Jiahao Pang, Duanshun Li, and Dong Tian from InterDigital In
All supplementary material used by me while TA-ing CS3244: Machine Learning
CS3244-Tutorial-Material All supplementary material used by me while TA-ing CS3244: Machine Learning at NUS School of Computing. What is this? I teach
Learn about Spice.ai with in-depth samples
Samples Learn about Spice.ai with in-depth samples ServerOps - Learn when to run server maintainance during periods of low load Gardener - Intelligent
Fully reproducible, Dockerized, step-by-step, tutorial on how to mock a "real-time" Kafka data stream from a timestamped csv file. Detailed blog post published on Towards Data Science.
time-series-kafka-demo Mock stream producer for time series data using Kafka. I walk through this tutorial and others here on GitHub and on my Medium
Source code from thenewboston Discord Bot with Python tutorial series.
Project Setup Follow the steps below to set up the project on your environment. Local Development Create a virtual environment with Python 3.7 or high
Nutrify - take a photo of food and learn about it
Nutrify - take a photo of food and learn about it Work in progress. To make this a thing, we're going to need lots of food images... Start uploading y
Tutorial to pretrain & fine-tune a 🤗 Flax T5 model on a TPUv3-8 with GCP
Pretrain and Fine-tune a T5 model with Flax on GCP This tutorial details how pretrain and fine-tune a FlaxT5 model from HuggingFace using a TPU VM ava
Yet Another Reinforcement Learning Tutorial
This repo contains self-contained RL implementations
Official implementation of the paper "Topographic VAEs learn Equivariant Capsules"
Topographic Variational Autoencoder Paper: https://arxiv.org/abs/2109.01394 Getting Started Install requirements with Anaconda: conda env create -f en
ZSL-KG is a general-purpose zero-shot learning framework with a novel transformer graph convolutional network (TrGCN) to learn class representation from common sense knowledge graphs.
ZSL-KG is a general-purpose zero-shot learning framework with a novel transformer graph convolutional network (TrGCN) to learn class representa
🎴 LearnQuick is a flashcard application that you can study with decks and cards.
🎴 LearnQuick is a flashcard application that you can study with decks and cards. The main function of the application is to show the front sides of the created cards to the user and ask them to guess the back of the card. As a result of self-assessment of user's ability to guess the back sides of the displayed cards, the cards that user weak against are shown more often, and the cards that user strong against are shown less frequently.
Learn to deploy a FastAPI application into production DigitalOcean App Platform
Learn to deploy a FastAPI application into production DigitalOcean App Platform. This is a microservice for our Try Django 3.2 project. The goal is to extract any and all text from images using a technique called OCR.
Streamlit Tutorial (ex: stock price dashboard, cartoon-stylegan, vqgan-clip, stylemixing, styleclip, sefa)
Streamlit Tutorials Install pip install streamlit Run cd [directory] streamlit run app.py --server.address 0.0.0.0 --server.port [your port] # http:/
graphw00f is Server Engine Fingerprinting utility for software security professionals looking to learn more about what technology is behind a given GraphQL endpoint.
graphw00f - GraphQL Server Fingerprinting graphw00f (inspired by wafw00f) is the GraphQL fingerprinting tool for GQL endpoints. Table of Contents How
A real-time tech course finder, created using Elasticsearch, Python, React+Redux, Docker, and Kubernetes.
A real-time tech course finder, created using Elasticsearch, Python, React+Redux, Docker, and Kubernetes.
Base pretrained models and datasets in pytorch (MNIST, SVHN, CIFAR10, CIFAR100, STL10, AlexNet, VGG16, VGG19, ResNet, Inception, SqueezeNet)
This is a playground for pytorch beginners, which contains predefined models on popular dataset. Currently we support mnist, svhn cifar10, cifar100 st
We present a framework for training multi-modal deep learning models on unlabelled video data by forcing the network to learn invariances to transformations applied to both the audio and video streams.
Multi-Modal Self-Supervision using GDT and StiCa This is an official pytorch implementation of papers: Multi-modal Self-Supervision from Generalized D
Learning source code review, spot vulnerability, find some ways how to fix it.
Learn Source Code Review Learning source code review, spot vulnerability, find some ways how to fix it. WordPress Plugin Authenticated Stored XSS on C
PyTorch implementation of "Learn to Dance with AIST++: Music Conditioned 3D Dance Generation."
Learn to Dance with AIST++: Music Conditioned 3D Dance Generation. Installation pip install -r requirements.txt Prepare Dataset bash data/scripts/pre
Learn meanings behind words is a key element in NLP. This project concentrates on the disambiguation of preposition senses. Therefore, we train a bert-transformer model and surpass the state-of-the-art.
New State-of-the-Art in Preposition Sense Disambiguation Supervisor: Prof. Dr. Alexander Mehler Alexander Henlein Institutions: Goethe University TTLa
🔄 🌐 Handle thousands of HTTP requests, disk writes, and other I/O-bound tasks simultaneously with Python's quintessential async libraries.
🔄 🌐 Handle thousands of HTTP requests, disk writes, and other I/O-bound tasks simultaneously with Python's quintessential async libraries.
A tutorial showing how to train, convert, and run TensorFlow Lite object detection models on Android devices, the Raspberry Pi, and more!
A tutorial showing how to train, convert, and run TensorFlow Lite object detection models on Android devices, the Raspberry Pi, and more!
ManiSkill-Learn is a framework for training agents on SAPIEN Open-Source Manipulation Skill Challenge (ManiSkill Challenge), a large-scale learning-from-demonstrations benchmark for object manipulation.
ManiSkill-Learn ManiSkill-Learn is a framework for training agents on SAPIEN Open-Source Manipulation Skill Challenge, a large-scale learning-from-dem
basic tutorial on pytorch
Quick Tutorial on PyTorch PyTorch Basics Linear Regression Logistic Regression Artificial Neural Networks Convolutional Neural Networks Recurrent Neur
A tiny, friendly, strong baseline code for Person-reID (based on pytorch).
Pytorch ReID Strong, Small, Friendly A tiny, friendly, strong baseline code for Person-reID (based on pytorch). Strong. It is consistent with the new
This is an online course where you can learn and master the skill of low-level performance analysis and tuning.
Performance Ninja Class This is an online course where you can learn to find and fix low-level performance issues, for example CPU cache misses and br
Official repository of my book: "Deep Learning with PyTorch Step-by-Step: A Beginner's Guide"
This is the official repository of my book "Deep Learning with PyTorch Step-by-Step". Here you will find one Jupyter notebook for every chapter in the book.
MachineLearningStocks is designed to be an intuitive and highly extensible template project applying machine learning to making stock predictions.
Using python and scikit-learn to make stock predictions
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.
This is a curated list of tutorials, projects, libraries, videos, papers, books and anything related to the incredible PyTorch. Feel free to make a pu
A community run, 5-day PyTorch Deep Learning Bootcamp
Deep Learning Winter School, November 2107. Tel Aviv Deep Learning Bootcamp : http://deep-ml.com. About Tel-Aviv Deep Learning Bootcamp is an intensiv
🛠 All-in-one web-based IDE specialized for machine learning and data science.
All-in-one web-based development environment for machine learning Getting Started • Features & Screenshots • Support • Report a Bug • FAQ • Known Issu
Official repository for the paper "Can You Learn an Algorithm? Generalizing from Easy to Hard Problems with Recurrent Networks"
Easy-To-Hard The official repository for the paper "Can You Learn an Algorithm? Generalizing from Easy to Hard Problems with Recurrent Networks". Gett
Azure Cloud Advocates at Microsoft are pleased to offer a 12-week, 24-lesson curriculum all about Machine Learning
Azure Cloud Advocates at Microsoft are pleased to offer a 12-week, 24-lesson curriculum all about Machine Learning
pure-predict: Machine learning prediction in pure Python
pure-predict speeds up and slims down machine learning prediction applications. It is a foundational tool for serverless inference or small batch prediction with popular machine learning frameworks like scikit-learn and fasttext. It implements the predict methods of these frameworks in pure Python.
Handout for the tutorial "Creating publication-quality figures with matplotlib"
Handout for the tutorial "Creating publication-quality figures with matplotlib"
Matplotlib tutorial for beginner
matplotlib is probably the single most used Python package for 2D-graphics. It provides both a very quick way to visualize data from Python and publication-quality figures in many formats. We are going to explore matplotlib in interactive mode covering most common cases.
A tiny python web application based on Flask to set, get, expire, delete keys of Redis database easily with direct link at the browser.
First Redis Python (CRUD) A tiny python web application based on Flask to set, get, expire, delete keys of Redis database easily with direct link at t
Pytorch implementation for "Implicit Feature Alignment: Learn to Convert Text Recognizer to Text Spotter".
Implicit Feature Alignment: Learn to Convert Text Recognizer to Text Spotter This is a pytorch-based implementation for paper Implicit Feature Alignme
Learn chords with your MIDI keyboard !
miditeach miditeach is a music learning tool that can be used to practice your chords skills with a midi keyboard 🎹 ! Features Midi keyboard input se
Tutorial to set up TensorFlow Object Detection API on the Raspberry Pi
A tutorial showing how to set up TensorFlow's Object Detection API on the Raspberry Pi
Automate your Microsoft Learn Student Ambassadors event certificate with Python
Microsoft Learn Student Ambassador Certificate Automation This repo simply use a template certificate docx file and generates certificates both docx a
A step-by-step tutorial for how to work with some of the most basic features of Nav2 using a Jupyter Notebook in a warehouse environment to create a basic application.
This project has a step-by-step tutorial for how to work with some of the most basic features of Nav2 using a Jupyter Notebook in a warehouse environment to create a basic application.
learn how to use Gesture Control to change the volume of a computer
Volume-Control-using-gesture In this project we are going to learn how to use Gesture Control to change the volume of a computer. We first look into h
Intruder detection systems are common place now, and readily available in industry, but how do they work? They must detect people and large animals, but not generate false alarms in the presence of small animals, changes in lighting, environmental motion such as trees, or melting snow. To work correctly, the system must learn the background, in order to differentiate foreground objects.
Intruder-Detection Intruder detection systems are common place now, and readily available in industry, but how do they work? They must detect people a
A Curated Collection of Awesome Python Scripts
A Curated Collection of Awesome Python Scripts that will make you go wow. This repository will help you in getting those green squares. Hop in and enjoy the journey of open source. 🚀
Learn Blockchains by Building One, A simple Blockchain in Python using Flask as a micro web framework.
Blockchain ✨ Learn Blockchains by Building One Yourself Installation Make sure Python 3.6+ is installed. Install Flask Web Framework. Clone this repos
Implemented page rank program
Page Rank Implemented page rank program based on fact that a website is more important if it is linked to by other important websites using recursive
Artificial Intelligence playing minesweeper 🤖
AI playing Minesweeper ✨ Minesweeper is a single-player puzzle video game. The objective of the game is to clear a rectangular board containing hidden
A powerful password generator utility which utilizes the slot technique to generate strong passwords of required length having combinations of lower and upper characters, digits and symbols.
Bitpass Password Generator Installation Make sure Python 3+ is installed