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adherence-of-variables-test-vs-production-

This project aims to present the test base variables adhering to the current production base, this procedure is extremely important to validate adherence of the machine learning models in production, ensuring the expected result extracted in the test base.

aimet

AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.

alpha-automl

Alpha-AutoML is a Python library for automatically generating end-to-end machine learning pipelines.

amazing-feature-engineering

Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.

ask-multiple-pdfs

A Langchain app that allows you to chat with multiple PDFs

auto-eng-feat

This is project, the algorithm generate a set features that show performance the best than with the original dataset.

automachinelearning

System what generate models of classification binary automated.

automl-gs

Provide an input CSV and a target field to predict, generate a model + code to run it.

awesome-generative-ai-guide

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

aws-data-wrangler

Pandas on AWS

bentoml

Model Serving Made Easy

bolt

10x faster matrix and vector operations

challenge-condition-fer-dataset

This is our collected datasets for challenge condition facial expression recognition

chat-copilot

cnpj-full

Utilitário em Python para ler os dados públicos do CNPJ disponibilizados pela Receita Federal e carregá-los em arquivos csv ou sqlite para fácil consumo. Também permite consultas com visualização interativa ou exportação para formatos diversos.

codereview.gpt

Reviews your Pull Requests using ChatGPT so that you can pretend to work.

copilotkit

Build in-app AI chatbots 🤖, and AI-powered Textareas ✨, into react web apps.

deep_white_balance

Reference code for the paper: Deep White-Balance Editing, CVPR 2020 (Oral). Our method is a deep learning multi-task framework for white-balance editing.

deepchecks

Test Suites for Validating ML Models & Data. Deepchecks is a Python package for comprehensively checking your machine learning models and data with minimal effort.

desafio_accenture

efficient-facial-feature-learning-with-wide-ensemble-based-convolutional-neural-networks

Efficient Facial Feature Learning with Wide Ensemble-based Convolutional Neural Networks

examples

TensorFlow examples

features-analysis-individual

game_reinforcement_learning

This game is a illustrate form with work the reinforcement learning on practice.

generative-ai

Sample code and notebooks for Generative AI on Google Cloud, including Gemini

geodist

This is a solution, have that with goal of calculated on features of yours neighborhood to a determined dataset of reference with latitude and longitude or compared with others dataset of same layout.

get-index-by-inside-of-polygon-of-a-picture

At times we run into the problem of identifying which pixels in the image are within a certain polygon whether it is convex or non-convex. For this I developed a function to identify which indexes are within a certain polygon, this is important in the need to build new variables for a learning problem that was my case.

google-research

Google AI Research

gpt-3-simple-tutorial

Generate SQL from Natural Language Sentences using OpenAI's GPT-3 Model

image-classification-lenet

A approach of image classification used the architecture LeNet in Keras python.