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awesome-generative-ai-guide

A one stop repository for generative AI research updates, interview resources, notebooks and much more!

awesome-kan

A comprehensive collection of KAN(Kolmogorov-Arnold Network)-related resources, including libraries, projects, tutorials, papers, and more, for researchers and developers in the Kolmogorov-Arnold Network field.

data-science-interview-questions-answers

Curated list of data science interview questions and answers

diffusers

🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch

dku-git-branching-demo

dss-plugin-nlp-preparation

Dataiku DSS plugin to detect languages, correct misspellings, and clean text data 🧼

genai_fellowship_large-language-models

Large language Models (LLM)

iimbclasses

langchain

⚡ Building applications with LLMs through composability ⚡

languagemodels

Explore large language models on any computer with 512MB of RAM

llm-gpt-demo

🐍

llm-numbers

Numbers every LLM developer should know

llmspracticalguide

A curated list of practical guide resources of LLMs (LLMs Tree, Examples, Papers)

lm-question-generation

Multilingual/multidomain question generation datasets, models, and python library for question generation.

lmql

A programming language for large language models.

machine-learning-book

Code Repository for Machine Learning with PyTorch and Scikit-Learn

ml-papers-explained

Explanation to key concepts in ML

ml-papers-of-the-week

🔥Highlighting the top ML papers every week.

mlc-llm

Enable everyone to develop, optimize and deploy AI models natively on everyone's devices.

mlops-primer

A collection of resources to learn about MLOPs.

nanogpt

The simplest, fastest repository for training/finetuning medium-sized GPTs.

nlp-with-llms

Natural Language Processing with Large Language Models

nlp_overview

📘Overview of Modern Deep Learning Techniques Applied to Natural Language Processing

notebooks

Jupyter notebooks for the Natural Language Processing with Transformers book

opennmt-py

Open Source Neural Machine Translation and (Large) Language Models in PyTorch

prompt-engineering

Tips and tricks for working with Large Language Models like OpenAI's GPT-4.

prompt-engineering-guide

🐙 Guides, papers, lecture, notebooks and resources for prompt engineering

pymlslides

Slides for my machine learning course based on Sebastian Raschka's Python Machine Learning book

question_extractor

Generate question/answer training pairs out of raw text.

solutions-contrib