Generalized autonomous ML research framework
Project description
autoresearchstudio
Generalized autonomous ML research framework. Inspired by Karpathy's autoresearch.
Install
pip install autoresearchstudio
Quick start
# Initialize a project (use --from-template karpathy for LLM pretraining)
ars init
# Edit autoresearch.yaml to match your project
# Start a run
ars setup --tag mar21
# The AI agent then uses these commands in a loop:
ars run --description "baseline"
ars log --description "baseline"
ars judge
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
autoresearchstudio-0.3.1.tar.gz
(13.7 kB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file autoresearchstudio-0.3.1.tar.gz.
File metadata
- Download URL: autoresearchstudio-0.3.1.tar.gz
- Upload date:
- Size: 13.7 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.13.5
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
89f37e2f1ef61c6e87f557edadad21ae582065799ad0695c83d9e6e3a5df1282
|
|
| MD5 |
abe7842fceb1b3f793407e2506d35aaf
|
|
| BLAKE2b-256 |
cbcfb64325f67d4f5288a32b593cc725bcac983dd1df5f58f3c7d7b16c4a415b
|
File details
Details for the file autoresearchstudio-0.3.1-py3-none-any.whl.
File metadata
- Download URL: autoresearchstudio-0.3.1-py3-none-any.whl
- Upload date:
- Size: 17.0 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.13.5
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
e0441df369a930ac07d66c845562a1ab0e53ed840533d0343f1f49a169da3149
|
|
| MD5 |
cbd21cc8d1659d7859a59a38b62e15a0
|
|
| BLAKE2b-256 |
258687f2035e23d8525c90e07ef2363b3b3a33e58a6f1e595a1a74b27b07a124
|