-
University of Freiburg
- Freiburg, Germany
- https://shobhitkr.vercel.app/
- @shobhit_speaks
Starred repositories
The world’s fastest framework for building websites.
⚡ TabPFN: Foundation Model for Tabular Data ⚡
DSPy: The framework for programming—not prompting—language models
The p5.js Editor is a website for creating p5.js sketches, with a focus on making coding accessible and inclusive for artists, designers, educators, beginners, and anyone else! You can create, shar…
🔥 🔥 🔥 Open Source JIRA, Linear, Monday, and Asana Alternative. Plane helps you track your issues, epics, and cycles the easiest way on the planet.
Automated testing to find logic and performance bugs in database systems
This toolbox offers 13 wrapper feature selection methods (PSO, GA, GWO, HHO, BA, WOA, and etc.) with examples. It is simple and easy to implement.
ARTEMIS: Real-Time Detection and Automatic Mitigation for BGP Prefix Hijacking. This is the main ARTEMIS repository that composes artemis-frontend, artemis-backend, artemis-monitor and other needed…
Python implementation of machine learning algorithms
Python microframework for building nature-inspired algorithms. Official docs: https://niapy.org
Nature-inspired algorithms for hyper-parameter tuning of Scikit-Learn models.
Minor Project MAIT
Open source API development ecosystem - https://hoppscotch.io (open-source alternative to Postman, Insomnia)
This repository contains the Tutorials for the NPTEL MOOC on Machine Learning.
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
A PyTorch Implementation of PGL-SUM from "Combining Global and Local Attention with Positional Encoding for Video Summarization" (IEEE ISM 2021)
This is a python API which allows you to get the transcript/subtitles for a given YouTube video. It also works for automatically generated subtitles and it does not require an API key nor a headles…
The repo for all content related to Bootcamp 2022.
Recommender System for an Ecommerce App using Collaborative Filtering
A simple web scraper to extract Product Data and Pricing from Amazon