A professional-grade AI utility for automated data synchronization and backend management.
Project description
Installation
To install requirements: python -m pip install requirements.txt
To save requirements: python -m pip list --format=freeze --exclude-editable -f https://download.pytorch.org/whl/torch_stable.html > requirements.txt
- Note we use Python 3.9.4 for our experiments
Running the code
For remaining experiments:
Navigate to the corresponding directory, then execute: python run.py -m with the corresponding config.yaml file (which stores experiment configs).
License
Consult License.md
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
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 flashrag-0.0.1.tar.gz.
File metadata
- Download URL: flashrag-0.0.1.tar.gz
- Upload date:
- Size: 3.6 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.14.4
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
954a8ab25dcb76fa8971d3172d139bb5b0630f251344e8c6f11ca857db5ea8a1
|
|
| MD5 |
221cb4d8f521c0812b7955f1a3a5782c
|
|
| BLAKE2b-256 |
0516e29188650bf5e5eadf414a78f97475aa376d16e8a41715a1359ed89c265f
|
File details
Details for the file flashrag-0.0.1-py3-none-any.whl.
File metadata
- Download URL: flashrag-0.0.1-py3-none-any.whl
- Upload date:
- Size: 4.0 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.14.4
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
7a568ea0b0503b6b2885537178e4ba4fa182d3782a268098c94abade202f6c1f
|
|
| MD5 |
f57313f6f98385df8a1c1a10c3d6c85f
|
|
| BLAKE2b-256 |
0538dfdae3c8cb797e0d8cb1e4b07c776ae0619d3002a53ef2ce6217158df10f
|
