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https://github.com/hassan11196/to-not-forget

Just a Readme Collection of Github Repos I want to remember
https://github.com/hassan11196/to-not-forget

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Just a Readme Collection of Github Repos I want to remember

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# to-not-forget

* 2021 / 04 / 19
* [Learn Rust With Entirely Too Many Linked Lists](https://rust-unofficial.github.io/too-many-lists/index.html)
* basic and advanced Rust programming

* 2020 / 08 / 03
* [Lerna](https://github.com/lerna/lerna)
* A tool for managing JavaScript projects with multiple packages.
* [Functional Programming using JS](https://github.com/MostlyAdequate/mostly-adequate-guide)
* Mostly adequate guide to FP (in javascript)

* 2020 / 07 / 31
* [DjangoX](https://github.com/wsvincent/djangox)
* Django starter project with batteries

* 2020 / 07 / 29
* [Django React Boilerplate](https://github.com/vintasoftware/django-react-boilerplate)
* Django, React, Bootstrap 4 with Python 3 and webpack project boilerplate

* 2020 / 07 / 25
* [Light Blue React Template](https://github.com/flatlogic/light-blue-react-template)
* Light Blue React Template - Admin Dashboard Template built with React
* [Awesome Cold Showers](https://github.com/hwayne/awesome-cold-showers)
* This an awesome (rigorous and respectful) and curated (I read every suggestion and make judgement calls) list of cold showers on overhyped topics.

* 2020 / 07 / 24
* [Node Express Boilerplate](https://github.com/danielfsousa/express-rest-es2017-boilerplate)
* Boilerplate/Generator/Starter Project for building RESTful APIs and microservices using Node.js, Express and MongoDB
* 2020 / 07 / 21
* [Django Stubs](https://github.com/typeddjango/django-stubs)
* PEP-484 stubs for Django
* [Django Starter Template](https://github.com/wemake-services/wemake-django-template)
* This project is used to scaffold a django project structure. Just like django-admin.py startproject but better.
* [DRF Typed Views](https://github.com/rsinger86/drf-typed-views)
* Pydanctic models and validation with Marshmellow schemas that extend Django rest framework.
* [Awesome Python](https://github.com/vinta/awesome-python)
* A curated list of awesome Python frameworks, libraries, software and resources
* [MonkeyType](https://github.com/instagram/MonkeyType)
* A system for Python that generates static type annotations by collecting runtime types
* [shuup](https://github.com/shuup/shuup)
* E-Commerce Platform
* [Elyra Ai](https://github.com/elyra-ai/elyra)
* Elyra is a set of AI-centric extensions to JupyterLab Notebooks.

* 2020 / 07 / 20
* [Django Quick Project setup](https://github.com/metakermit/generator-django-rest)
* Yeoman generator for a Django REST/GraphQL API, an optional React SPA & lots more!
* [Awesome MLOps](https://github.com/visenger/awesome-mlops)
* An awesome list of references for MLOps - Machine Learning Operations.
* [Go Server](https://github.com/gofiber/fiber)
* ⚡️ Fiber is an Express inspired web framework written in Go with ☕️

* 2020 / 07 / 11
* [Ml Tools](https://github.com/DigitalGlobe/mltools)
* Tools for fast prototyping of object detection and classification solutions on DG imagery
* [Adaptive GAN](https://github.com/TrackLab/Adaptive-GAN)
* This General Adversarial Network can quickly be trained on any kind of images
* [mljar](https://github.com/mljar/mljar-supervised)
* Automated Machine Learning
* [Data Science NoteBooks](https://github.com/donnemartin/data-science-ipython-notebooks)
* Huge Collection of Data Science Notebooks.

* 2020 / 07 / 07
* [Kaggle competitions and their winning solutions for classification problems.](https://github.com/ShuaiW/kaggle-classification)
* A compiled list of kaggle competitions and their winning solutions for classification problems.
* [Data Science Cheatsheet](https://github.com/ShuaiW/data-science-question-answer)
* A repo for data science related questions and answers
* [ML Cheatsheet](https://github.com/ShuaiW/ml-cheatsheet)
* A constantly updated python machine learning cheatsheet
* 2020 / 06 / 30
* [guietta PyQT Gui maker](https://github.com/alfiopuglisi/guietta)
* A tool for making simple Python GUIs
* [Awesome Readmes](https://github.com/matiassingers/awesome-readme)
* A curated list of awesome READMEs
* 2020 / 06 / 30
* [Typescript cheat-sheet with Examples](https://github.com/David-Else/modern-typescript-with-examples-cheat-sheet)
* Fully printable summary of modern TypeScript language features with extensive examples to help you learn.
* [Typescript cheat-sheet](https://rmolinamir.github.io/typescript-cheatsheet/)
* A set of TypeScript related notes used for quick reference. The cheatsheet contains references to types, classes, decorators, etc.
* [NodeJS starter with TypeScript](https://github.com/microsoft/TypeScript-Node-Starter)
* A reference example for TypeScript and Node with a detailed README describing how to use the two together.
* [Node Hackathon Starter](https://github.com/sahat/hackathon-starter)
* A boilerplate for Node.js web applications
* [Mega Boilerplate](https://github.com/sahat/megaboilerplate)
* Handcrafted starter projects, optimized for simplicity and ease of use.
* 2020 / 06 / 28
* [Awesome django](https://github.com/wsvincent/awesome-django)
* A curated list of awesome things related to Django
* 2020 / 06 / 27
* [Awesome Big Data](https://github.com/onurakpolat/awesome-bigdata)
* A curated list of awesome big data frameworks, ressources and other awesomeness.
* 2020 / 06 / 26
* [Neural Network Intelligence](https://github.com/microsoft/nni)
* NNI \(Neural Network Intelligence\) is a lightweight but powerful toolkit to help users automate Feature Engineering, Neural Architecture Search, Hyperparameter Tuning and Model Compression.
* [modAl](https://github.com/modAL-python/modAL)
* Modular Active Learning framework for Python3
* [Auto Speech Recognition](https://github.com/zzw922cn/Automatic_Speech_Recognition)
* End-to-end automatic speech recognition system implemented in TensorFlow.
* [RL Baselines Zoo](https://github.com/araffin/rl-baselines-zoo)
* A collection of trained Reinforcement Learning \(RL\) agents, with tuned hyperparameters, using Stable Baselines.
* [Time Series Forecasting](https://github.com/microsoft/forecasting)
* Time Series Forecasting Best Practices & Examples
* [Self Hosted Solutions](https://github.com/awesome-selfhosted/awesome-selfhosted)
* A list of Free Software network services and web applications which can be hosted locally.
* 2020 / 06 / 23
* [TypeDoc](https://typedoc.org/)
* A documentation generator for TypeScript projects.
* 2020 / 06 / 21
* [Odoo Open Source ERP and CRM](https://www.odoo.com/)
* Open Source ERP, POS, CRM and other enterprise solutions.
* 2020 / 06 / 20
* [MIT Deep Learning Tutorials](https://github.com/lexfridman/mit-deep-learning)
* Notebooks for deep learning.
* 2020 / 06 / 10
* [Django DRF Tracking](https://github.com/lingster/drf-api-tracking)
* API Logging and tracking for Django DRF
* 2020 / 06 / 07
* [Django drf-spectacular](https://github.com/tfranzel/drf-spectacular)
* Sane and flexible OpenAPI 3.0 schema generation for Django REST framework. Will have to see how it compares to Django Yasg.
* 2020 / 06 / 02
* [ReactJs Interview Prep](https://github.com/sudheerj/reactjs-interview-questions)
* List of questions for a ReactJs Interview
* 2020 / 06 / 01
* [Pony ORM](https://ponyorm.org/)
* Python ORM, Cool Online modelling tool with support for multiple SQL Translations.
* [protobuf](https://github.com/protocolbuffers/protobuf)
* Looks Useful for converting data between diff Languages.
* [dj-rest-auth](https://github.com/jazzband/dj-rest-auth)
* Drop-in Authentication system for SPA's. Can support JWT.