gsoc-2019-framenet

Google Summer of Code 2019 (GSoC' 19) - Annotating NewsScape and Expanding FrameNet

gsoc-numfocus

NumFOCUS Google Summer of Code Materials

h2o-llmstudio

H2O LLM Studio - a framework and no-code GUI for fine-tuning LLMs. Documentation: https://h2oai.github.io/h2o-llmstudio/

ibm-data-science-professional-certification

This repository contains all the resources and solution to quizzes given and asked in IBM Data Science Professional Certification.

lab-dashboards-with-tableau

llama-factory

Easy-to-use LLM fine-tuning framework (LLaMA, BLOOM, Mistral, Baichuan, Qwen, ChatGLM)

llm-generated-text-detection

A survey and reflection on the latest research breakthroughs in LLM-generated Text detection, including data, detectors, metrics, current issues and future directions.

llmdet

LLMDet is a text detection tool that can identify which generated sources the text came from (e.g. large language model or human-write).

llms-from-scratch

Implementing a ChatGPT-like LLM from scratch, step by step

llmspracticalguide

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

llmzoo

⚡LLM Zoo is a project that provides data, models, and evaluation benchmark for large language models.⚡

lm-watermarking

machine-learning

Machine Learning and Causal Inference taught by Brigham Frandsen

machine-learning-tutorials

machine learning and deep learning tutorials, articles and other resources

machinelearning-optics

Machine learning applied to fiber-optic sensors

machinelearningnotebooks

Python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft

mahrukhs

microseismic-detection-ml

Microseismic event detection on fiber-optic data using machine learning

microsoft-power-bi-data-analyst-certification-guide

Microsoft Power BI Data Analyst Certification Guide, published by Packt

ml-class

Machine learning lessons and teaching projects designed for engineers

ml-mgie

mspowerbi

Microsoft Power BI Data Analyst Professional Certificate

music-recommendation-using-deep-learning

Recommending Music using a Convolutional Neural Network.

music-recommender-engine

The purpose of this Personalized Music Recommendation Engine is to use reinforcement learning approach to build a music recommender system and to formulate the problem of interactive recommendation as a contextual multi-armed bandit, learning user preferences recommending new songs and receiving their ratings.

music-recommender-system

nlp-recipes

Natural Language Processing Best Practices & Examples

open-llms

📋 A list of open LLMs available for commercial use.

opencv

Open Source Computer Vision Library

opendevin

🐚 OpenDevin: Code Less, Make More

openllm

Operating LLMs in production