agarbuno
Bayesian inference, non-parametric Bayesian models, MCMC algorithms, Kernel Methods, Data assimilation, Langevin dynamics
BBVAMexico City
agarbuno's Stars
microsoft/generative-ai-for-beginners
18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
meta-llama/llama-recipes
Scripts for fine-tuning Meta Llama3 with composable FSDP & PEFT methods to cover single/multi-node GPUs. Supports default & custom datasets for applications such as summarization and Q&A. Supporting a number of candid inference solutions such as HF TGI, VLLM for local or cloud deployment. Demo apps to showcase Meta Llama3 for WhatsApp & Messenger.
aws/amazon-sagemaker-examples
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
Mooler0410/LLMsPracticalGuide
A curated list of practical guide resources of LLMs (LLMs Tree, Examples, Papers)
run-llama/rags
Build ChatGPT over your data, all with natural language
google-gemini/cookbook
Examples and guides for using the Gemini API
tensorchord/Awesome-LLMOps
An awesome & curated list of best LLMOps tools for developers
georgezouq/awesome-ai-in-finance
🔬 A curated list of awesome LLMs & deep learning strategies & tools in financial market.
krishnaik06/Roadmap-To-Learn-Generative-AI-In-2024
aws-samples/amazon-bedrock-workshop
This is a workshop designed for Amazon Bedrock a foundational model service.
qingsongedu/awesome-AI-for-time-series-papers
A professional list of Papers, Tutorials, and Surveys on AI for Time Series in top AI conferences and journals.
qingsongedu/Awesome-TimeSeries-SpatioTemporal-LM-LLM
A professional list on Large (Language) Models and Foundation Models (LLM, LM, FM) for Time Series, Spatiotemporal, and Event Data.
paiml/practical-mlops-book
[Book-2021] Practical MLOps O'Reilly Book
yao8839836/kg-bert
KG-BERT: BERT for Knowledge Graph Completion
aws/studio-lab-examples
Example notebooks for working with SageMaker Studio Lab. Sign up for an account at the link below!
stefanradev93/BayesFlow
A Python library for amortized Bayesian workflows using generative neural networks.
apple/ml-sigma-reparam
Azure/Microsoft-TDSP
Repository for Microsoft Team Data Science Process containing documents and scripts
databricks-academy/llm-foundation-models
Rulikkk/awesome-power-bi
⭐️⭐️⭐️ Awesome Power BI dashboards, visuals, development resources, learning materials and more 🔥🔥🔥
visenger/Awesome-ML-Model-Governance
This repository provides a curated list of references about Machine Learning Model Governance, Ethics, and Responsible AI.
MadryLab/modelcomponents
Decomposing and Editing Predictions by Modeling Model Computation
ewharton/ab-testing-resources
EnkrateiaLucca/oreilly_live_training_llm_apps
Notebooks for the live trainining about llm app development
nestauk/skills-taxonomy-v2
new skills taxonomy using TextKernel data
aws-samples/fm-leaderboarder
FM-Leaderboard-er allows you to create leaderboard to find the best LLM/prompt for your own business use case based on your data, task, prompts
thenetcircle/moma
Model Management Tool for DataOps
thomaspinder/SteinGP
Code to fit Gaussian processes using Stein variational gradient descent. Code is writted in Tensorflow 2.0 and GPFlow 2.
dolittle007/Awesome-Conformal-Prediction
thomaspinder/bayesian_uncertainty_adversaries
Thesis: Detecting Adversaries in DQNs and Computer Vision using Bayesian CNNs