mlip-cmu / bookLinks
Sources for the book "Machine Learning in Production"
☆133Updated 2 months ago
Alternatives and similar repositories for book
Users that are interested in book are comparing it to the libraries listed below
Sorting:
- ☆219Updated last week
- ☆75Updated last year
- Open source Deep Learning Containers (DLCs) are a set of Docker images for training and serving models in PyTorch, OpenCV (compiled for G…☆86Updated last year
- ☆138Updated last year
- Transform messy data science notebooks into production-ready code. Examples covering testing, CI/CD, MLOps, and scalable deployment pract…☆71Updated 2 months ago
- Tutorial Materials for "The Fundamentals of Modern Deep Learning with PyTorch" workshop at PyCon 2024☆248Updated last year
- Multi-backend recommender systems with Keras 3☆141Updated this week
- Fine-tune an LLM to perform batch inference and online serving.☆112Updated 4 months ago
- ML algorithms in depth☆264Updated last year
- Examples of using Evidently to evaluate, test and monitor ML models.☆39Updated last week
- A Python Environment Template for VScode with UV☆68Updated 3 months ago
- Introduction to Data-Centric AI, MIT IAP 2024 🤖☆103Updated 3 months ago
- Official code repo for the O'Reilly Book - Machine Learning for High-Risk Applications☆102Updated 2 years ago
- Study the temporal performance degradation of machine learning models.☆16Updated last year
- Official curricula for the LLMOPs course at Duke University☆97Updated last year
- An educational machine learning library.☆423Updated 3 months ago
- 📚 Curated collection of engineering blogs detailing real-world applications of LLMs in solving specific business problems.☆95Updated 2 weeks ago
- Hugging Face Deep Learning Containers (DLCs) for Google Cloud☆154Updated 5 months ago
- A tutorial for setting an SQL code generator with the OpenAI API☆247Updated last year
- Notes from the Latent Space paper club. Follow along or start your own!☆239Updated last year
- Effective and Scalable Recommendation Systems☆59Updated last year
- Main folder. Material related to my books on synthetic data and generative AI. Also contains documents blending components from several f…☆96Updated last year
- ☆58Updated last year
- Software design principles for machine learning applications☆372Updated last month
- A simple and fast sklearn-compatible conformal predictions with random forests for both classification and regression tasks.☆45Updated last month
- Full Stack Graph Machine Learning: Theory, Practice, Tools and Techniques☆77Updated 8 months ago
- NYU Artificial Intelligence Spring 2024☆61Updated 11 months ago
- Sample Project for an MLOps 101 course I taught☆46Updated 5 months ago
- SciKit Learn Machine Learning Cheat Sheet☆17Updated 2 years ago
- ☆210Updated this week