Suresha Kukkaje's repositories

Awesome-AI-Data-GitHub-Repos

A collection of the most important Github repos for ML, AI & Data science practitioners

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awesome-datascience

:memo: An awesome Data Science repository to learn and apply for real world problems.

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awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

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awesome-mlops

A curated list of references for MLOps

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awesome-notebooks

+100 awesome Jupyter Notebooks templates, organized by tools, published by the Naas community, to kickstart your data projects in minutes. 😎

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BERTopic

Leveraging BERT and c-TF-IDF to create easily interpretable topics.

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coding-interview-university

A complete computer science study plan to become a software engineer.

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Data-Science-For-Beginners

10 Weeks, 20 Lessons, Data Science for All!

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deepmind-research

This repository contains implementations and illustrative code to accompany DeepMind publications

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devika

Devika is an Agentic AI Software Engineer that can understand high-level human instructions, break them down into steps, research relevant information, and write code to achieve the given objective. Devika aims to be a competitive open-source alternative to Devin by Cognition AI.

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DoEgen

DoEgen: A Python Library for Optimised Design of Experiment Generation and Evaluation

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free-programming-books

:books: Freely available programming books

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freeCodeCamp

freeCodeCamp.org's open-source codebase and curriculum. Learn to code for free.

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generative-ai-for-beginners

12 Lessons, Get Started Building with Generative AI πŸ”— https://microsoft.github.io/generative-ai-for-beginners/

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GFPGAN

GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.

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gpt-2

Code for the paper "Language Models are Unsupervised Multitask Learners"

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langchain

πŸ¦œπŸ”— Build context-aware reasoning applications

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LLM-Finetuning

LLM Finetuning with peft

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machine_learning_complete

A comprehensive repository containing 30+ notebooks on learning machine learning!

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MLOps

A project-based course on the foundations of MLOps with a focus on intuition and application.

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Parrot_Paraphraser

A practical and feature-rich paraphrasing framework to augment human intents in text form to build robust NLU models for conversational engines. Created by Prithiviraj Damodaran. Open to pull requests and other forms of collaboration.

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practical-python

Practical Python Programming (course by @dabeaz)

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pycparser

:snake: Complete C99 parser in pure Python

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pypict

Python Binding for Microsoft PICT (Pairwise Independent Combinatorial Tool)

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pytorch_geometric

Graph Neural Network Library for PyTorch

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Restaurant-Chatbot

Built a chatbot which can assist customers in reserving a table.

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spinningup

An educational resource to help anyone learn deep reinforcement learning.

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tech-interview-handbook

πŸ’― Curated interview preparation materials for busy engineers

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tensorflow

An Open Source Machine Learning Framework for Everyone

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Treasure-of-Transformers

πŸ’ Awesome Treasure of Transformers Models for Natural Language processing contains papers, videos, blogs, official repo along with colab Notebooks. πŸ›«β˜‘οΈ

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