jtwool / mastering-large-datasets
Repository for Mastering Large Datasets with Python
☆68Updated 2 years ago
Alternatives and similar repositories for mastering-large-datasets:
Users that are interested in mastering-large-datasets are comparing it to the libraries listed below
- This project shows how to serve an TF based image classification model as a web service with TFServing, Docker, and Kubernetes(GKE).☆121Updated 2 years ago
- Production repo to accompany Deep Learning with Structured Data book from Manning: https://www.manning.com/books/deep-learning-with-struc…☆73Updated 3 years ago
- Packaged movie recommenders as REST API using tensorflow-recommenders☆21Updated 4 years ago
- ☆67Updated 5 years ago
- Source code for "Enginneering Deep Learning Platforms"☆52Updated last year
- End-to-end pipeline with TFX to train and deploy a BERT model for sentiment analysis.☆43Updated last year
- 한빛미디어에서 출간한 『파이썬과 대스크를 활용한 고성능 데이터 분석』 의 소스코드 저장소☆12Updated 4 years ago
- Example MLOps using BentoML & mlFlow☆37Updated 3 years ago
- MLOps pipeline for NVIDIA Merlin on GKE☆41Updated 3 years ago
- This repo contains Jupyter Notebooks, miscellaneous stuff.☆59Updated last year
- ☆82Updated 2 years ago
- Pytest for Data Science Beginners☆58Updated 6 years ago
- ☆60Updated 4 years ago
- 🛒 Simple recommender with matrix factorization, graph, and NLP. Beating the regular collaborative filtering baseline.☆142Updated 9 months ago
- Naver sentiment movie corpus classification☆17Updated 3 years ago
- Examples for using Amazon SageMaker components in Kubeflow Pipelines☆22Updated 4 years ago
- A guideline for basic use and installation of kubeflow in AWS.☆38Updated 5 years ago
- Fullstack recommender system project with Flask + React + PyTorch + Numpy☆20Updated 4 years ago
- Deep learning tutorials on various tasks using PyTorch☆40Updated 2 years ago
- Project demonstrating dual model deployment scenarios using Vertex AI (GCP).☆35Updated 3 years ago
- Best practices for engineering ML pipelines.☆35Updated 2 years ago
- PySpark Tutorial for Beginners on Google Colab: Hands-On Guide☆16Updated 4 years ago
- Pytorch 기반의 딥러닝 학습 모델에 대한 예시 제공☆17Updated 5 years ago
- nlp lecture-notes and source code☆31Updated 5 years ago
- Clean Code in Python, Second Edition, published by [Packt]☆155Updated last year
- Demonstration of the Model Training as a CI/CD System in Vertex AI☆29Updated 3 years ago
- Scaling Machine Learning in Three Week course in a collaboration with O'Reilly following the guidance of Adi Polak's book - Scaling Machi…☆23Updated last year
- ☆23Updated 5 years ago
- Matorage is tensor(multidimensional matrix) object storage manager for deep learning framework(Pytorch, Tensorflow V2, Keras)☆73Updated 2 years ago
- Detailed notes and code to learn machine learning with Apache Spark.