xtreamsrl / build-your-own-gptLinks
Repository for the AMLD 2024 Workshop "At the cutting edge of Generative AI - Unravel the Secrets of GPT and Build Your Own Model"
☆19Updated last year
Alternatives and similar repositories for build-your-own-gpt
Users that are interested in build-your-own-gpt are comparing it to the libraries listed below
Sorting:
- Software design principles for machine learning applications☆369Updated 2 weeks ago
- The book every data scientist needs on their desk.☆978Updated this week
- Repo centralising material for the ULiege course INFO9023 "Machine Learning Systems Design (MLOps)".☆147Updated last month
- just a bunch of useful embeddings for scikit-learn pipelines☆516Updated 3 weeks ago
- 🐦 Quickly annotate data from the comfort of your Jupyter notebook☆787Updated last year
- Start building and deploying Python packages and Docker images for MLOps tasks.☆420Updated 5 months ago
- Learn how to create, develop, and maintain a state-of-the-art MLOps code base☆579Updated last week
- Compilation of high-profile real-world examples of failed machine learning projects☆735Updated last year
- Kickstart your MLOps initiative with a flexible, robust, and productive Python package.☆1,340Updated this week
- scikit-learn sprint docs☆185Updated last year
- Template for a data science project☆732Updated 3 weeks ago
- ☆151Updated 3 years ago
- Educational materials on deep learning by Weights & Biases☆638Updated 7 months ago
- Applied Machine Learning Explainability Techniques, published by Packt☆244Updated last year
- ☆12Updated 3 years ago
- 🐦 Quickly annotate data from the comfort of your Jupyter notebook☆280Updated 2 years ago
- 📝 Design doc template & examples for machine learning systems (requirements, methodology, implementation, etc.)☆617Updated 2 years ago
- 𝗢𝘄𝗻 𝗬𝗼𝘂𝗿 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲. Skore's open-source Python library accelerates ML model development with automated evaluation re…☆520Updated this week
- Code for the book "Software Engineering for Data Scientists"☆94Updated this week
- Partly lecture and partly a hands-on tutorial and workshop, this is a three part series on how to get started with MLflow. In this three …☆240Updated 5 years ago
- ☆47Updated last year
- Doubt your data, find bad labels.☆515Updated last year
- Free Open-source ML observability course for data scientists and ML engineers. Learn how to monitor and debug your ML models in productio…☆95Updated last year
- Kickstart your LLMOps initiative with a flexible, robust, and productive Python package.☆880Updated 6 months ago
- Enterprise Scale NLP with Hugging Face & SageMaker Workshop series☆241Updated 2 years ago
- A Simple Bulk Labelling Tool☆596Updated last month
- Tutorial Materials for "The Fundamentals of Modern Deep Learning with PyTorch" workshop at PyCon 2024☆247Updated last year
- A set of examples illustrating some possible use cases for NannyML☆20Updated last year
- 🧪 Simple data science experimentation & tracking with jupyter, papermill, and mlflow.☆182Updated last year
- Machine Learning for Imbalanced Data, published by Packt☆277Updated 7 months ago