brohrer / how-to-train-your-robotLinks
Content, code, and resources for the book How to Train Your Robot.
☆25Updated last year
Alternatives and similar repositories for how-to-train-your-robot
Users that are interested in how-to-train-your-robot are comparing it to the libraries listed below
Sorting:
- ☆20Updated 2 years ago
- Framework for building and maintaining self-updating prompts for LLMs☆64Updated last year
- Render notebooks like nbviewer, but using Quarto as the renderer☆106Updated 3 months ago
- The fastai book, 2nd edition (in progress)☆55Updated last year
- GitHub Action That Retrieves Model Runs From Weights & Biases☆60Updated 3 years ago
- Various handy scripts to quickly setup new Linux and Windows sandboxes, containers and WSL.☆40Updated 3 months ago
- A library to use `modal` as a backend for `joblib`.☆29Updated 6 months ago
- Quick demo of setting up a deep learning Python environment using conda and pip-tools.☆39Updated 4 years ago
- ☆95Updated 2 years ago
- Gzip and nearest neighbors for text classification☆57Updated 2 years ago
- Use Actions to acquire those precious lambda GPUs☆19Updated last year
- ☆143Updated 2 years ago
- ☆17Updated 2 years ago
- A sample pattern for running CI tests on Modal☆18Updated 4 months ago
- Hugging Face Deep RL Class notes☆10Updated 2 years ago
- run dreambooth training on modal☆22Updated 2 years ago
- Functional local implementations of main model parallelism approaches☆96Updated 2 years ago
- A PaaS End-to-End ML Setup with Metaflow, Serverless and SageMaker.☆37Updated 4 years ago
- Notes from my presentation on Python packaging at PyGotham 2021☆21Updated 3 years ago
- Codes, scripts, and notebooks on various aspects of transformer models.☆27Updated 2 years ago
- ☆30Updated 3 years ago
- Command Line Interface for Hugging Face Inference Endpoints☆66Updated last year
- Highly commented implementations of Transformers in PyTorch☆136Updated 2 years ago
- ☆28Updated 2 years ago
- Generate beautiful, testable documentation with Jupyter Notebooks☆21Updated 3 years ago
- In which I learn about score functions and how they can be used to generate data.☆16Updated last year
- Functional machine learning for fun☆85Updated 4 years ago
- Stuff I find (see issues)☆39Updated 4 years ago
- ☆96Updated last month
- Get packages onto your conda channel faster☆25Updated 8 months ago