Debojyoti Chakraborty's repositories
AwesomeML-algo-book
A book where you can find all type definitions and information about ml algorithms. I gather the information from stack overflow,scikit-learn, and other creative commons sources.Contributions welcome.
aima-python
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
almond-cloud
Almond As A Service and Thingpedia
atarashi
Atarashi scans for license statements in open source software, focusing on text statistics. Designed to work stand-alone and with FOSSology.
awesome-cheatsheets
超级速查表 - 编程语言、框架和开发工具的速查表，单个文件包含一切你需要知道的东西 :zap:
awesome-deep-learning
A curated list of awesome Deep Learning tutorials, projects and communities.
awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
awesome-nextjs
:notebook_with_decorative_cover: :books: A curated list of awesome resources : books, videos, articles about using Next.js (A minimalistic framework for universal server-rendered React applications)
awesome-python
A curated list of awesome Python frameworks, libraries, software and resources
awesome-typescript
A collection of awesome TypeScript resources for client-side and server-side development. Write your awesome JavaScript in TypeScript
blog-app-mern
FullStack React and Node JS Social Network project using Mongo DB
cheatsheets
My cheatsheets
CompilerGym
A reinforcement learning toolkit for compiler optimizations
devolearn
Accelerate data driven research on embryos with deep learning models :microscope:
EasyOCR
Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
elastalert
ElastAlert that exposes REST API's for manipulating rules and alerts
Fake-News-Detection
Detecting Fake News using AI
googlefit
Google fit app clone using react native
hdnet
hdnet - Hopfield denoising network
homemade-machine-learning
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
Hub-examples
Notebooks and examples of using Hub datasets.
ignite
High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.
next-prisma2-now
Next static and dynamic SSR + Prisma 2 + Postgres + Auth0 + Vercel
scikit-learn
scikit-learn: machine learning in Python
scrapping_web_page
It's a repo for assignment given by vamstar.
sktime
A unified framework for machine learning with time series
storemodel
A package to store ml models locally using dynamic tensors.