matheus-asilva

matheus-asilva's Stars

• iryna-kondr/scikit-llm

  Seamlessly integrate LLMs into scikit-learn.

  Language:Python3.3k270

• armankhondker/best-leetcode-resources

  This repository contains resources for technical coding interviews.

  3.1k317

• TeoMeWhy/lago-mago

  Projeto de construção de datalake do zero

  Language:Python675

• rasbt/LLMs-from-scratch

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

  Language:Jupyter Notebook28.2k3.2k

• fmind/mlops-python-package

  Kickstart your MLOps initiative with a flexible, robust, and productive Python package.

  Language:Jupyter Notebook63796

• linexjlin/GPTs

  leaked prompts of GPTs

  28.4k3.8k

• ByteByteGoHq/system-design-101

  Explain complex systems using visuals and simple terms. Help you prepare for system design interviews.

  63.5k6.6k

• D-dot-AT/Stock-Prediction-Neural-Network-and-Machine-Learning-Examples

  Examples of python neural net and ML stock prediction methods with sample stock data.

  Language:Python26959

• TNanukem/scikit-net

  A framework for machine learning in complex networks

  Language:Python205

• milvus-io/milvus

  A cloud-native vector database, storage for next generation AI applications

  Language:Go29.8k2.9k

• serengil/deepface

  A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python

  Language:Python12k2k

• aporia-ai/mlplatform-workshop

  🍫 Example code for a basic ML Platform based on Pulumi, FastAPI, DVC, MLFlow and more

  Language:TypeScript43167

• renan-cunha/KDD-Enade-Computing

  Data Mining with the ENADE of Brazilian Computer Science courses

  Language:Jupyter Notebook43

• facebookresearch/AugLy

  A data augmentations library for audio, image, text, and video.

  Language:Python4.9k299

• tspthomas/fsdl2021_project

  Language:Python10

• mrdbourke/tensorflow-deep-learning

  All course materials for the Zero to Mastery Deep Learning with TensorFlow course.

  Language:Jupyter Notebook5.2k2.5k

• renatocf/MAC5832-PROJECT

  Projeto da disciplina MAC0460/5832 - Aprendizagem de Máquina do IME-USP, ministrada pelo Prof. Dr. Roberto Hirata

  Language:Jupyter Notebook1

• abhishek-ch/around-dataengineering

  A Data Engineering & Machine Learning Knowledge Hub

  Language:Python1.1k223

• Machine-Learning-Tokyo/EdgeAIContest3

  This repository present MLT Team solution for the The 3rd AI Edge Contest.

  Language:Jupyter Notebook5212

• Machine-Learning-Tokyo/DL-workshop-series

  Material used for Deep Learning related workshops for Machine Learning Tokyo (MLT)

  Language:Jupyter Notebook936252

• Machine-Learning-Tokyo/practical-ml-implementations

  ML implementations for practical use

  Language:Python153

• Machine-Learning-Tokyo/papers-with-annotations

  Research papers with annotations, illustrations and explanations

  82975

• Machine-Learning-Tokyo/CNN-Architectures

  Language:HTML503150

• bodywork-ml/bodywork-core

  ML pipeline orchestration and model deployments on Kubernetes.

  Language:Python43522

• ledmaster/meli2020

  9th (public) place solution to MeLi Data Challenge 2020

  Language:Jupyter Notebook233

• GoogleCloudPlatform/ml-design-patterns

  Source code accompanying O'Reilly book: Machine Learning Design Patterns

  Language:Jupyter Notebook1.9k530

• DanielhCarranza/ml-production-template

  This codebase is a starting point to get your Machine Learning project into Production.

  Language:Python427

• crmne/cookiecutter-modern-datascience

  Start a data science project with modern tools

  Language:Python18236

• Noodle-ai/mlflow_part1_condaEnv

  Introduction to MLflow and Using MLflow with an Anaconda Environment

  Language:Jupyter Notebook104

• AMAI-GmbH/AI-Expert-Roadmap

  Roadmap to becoming an Artificial Intelligence Expert in 2022

  Language:JavaScript29.1k2.5k