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amazon-sagemaker-examples

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

applied-ml

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

avalanche-ds

A data science exercise supporting qualitative coding using ML/NLP.

bert

TensorFlow code and pre-trained models for BERT

bertopic

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

business-names-eda

Repo containing the code used to develop de EDA challenge

d2l-en

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 200 universities.

deepmind-research

This repository contains implementations and illustrative code to accompany DeepMind publications

docformer

Implementation of DocFormer: End-to-End Transformer for Document Understanding, a multi-modal transformer based architecture for the task of Visual Document Understanding (VDU)

evals

Evals is a framework for evaluating LLMs and LLM systems, and an open-source registry of benchmarks.

haystack

:mag: LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.

higher

higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather than individual training steps.

kworld_ai

An experimental RAG workflow for Conversational AI using scraped data from a website.

lhl-ds-ti-public

lhl_demo_repo

Simple repo to practice our Git skills!

lstm-model-founding-teams

An LSTM Neural Network applied to conduct experimental testing on theoretical research in founding team formation.

ludwig

Low-code framework for building custom LLMs, neural networks, and other AI models

machine-learning-systems-design

A booklet on machine learning systems design with exercises

mend

MEND: Fast Model Editing at Scale

ml-projects

A Repertoire of different Machine Learning projects I have developed as part of my learning journey.

mlops.toys

🎲 A curated list of MLOps projects.

ner-system

A Named Entity Recognition system that uses CRF model to extract entiites from news articles.

notebooks

Notebooks using the Hugging Face libraries 🤗

open-domain-qa

A functional prototype of an open-domain QA system using a fine-tuned DistilBERT model.

py-pkgs

Open source book about making Python packages.

pycounts

sentiment_analysis_models

A series of Sentiment Analysis projects that leverage models trained using Scikit-learn and PyTorch.

surya_energy

Data Visualization Engine and a Performance Prediction Prototype to help Surya Energy optimize energy production across a wide portfolio of solar energy projects.

transformers

🤗 Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.

workshop

AI and Machine Learning with Kubeflow, Amazon EKS, and SageMaker