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| Package |
Description |
Version |
|
hf-mcp-server
☆
formula
169
|
MCP Server for Hugging Face |
0.2.74 |
|
brev
☆
formula
|
CLI tool for managing workspaces provided by brev.dev |
0.6.315 |
|
dstack
☆
formula
|
ML workflow orchestration system designed for reproducibility and collaboration |
0.20.0 |
|
dvc
☆
formula
|
Git for data science projects |
3.64.2 |
|
envd
☆
formula
|
Reproducible development environment for AI/ML |
1.3.2 |
|
jupyterlab-app
☆
cask
|
Desktop application for JupyterLab |
4.6.3-1 |
|
lightgbm
☆
formula
|
Fast, distributed, high performance gradient boosting framework |
|
|
magika
☆
formula
|
Fast and accurate AI powered file content types detection |
|
|
mlx
☆
formula
|
Array framework for Apple silicon |
0.30.0 |
|
mosml
☆
formula
|
Moscow ML |
|
|
ocaml@4
☆
formula
|
General purpose programming language in the ML family |
4.14.2 |
|
one-ml
☆
formula
|
Reboot of ML, unifying its core and (now first-class) module layers |
|
|
onednn
☆
formula
|
Basic building blocks for deep learning applications |
3.10.2 |
|
polyml
☆
formula
|
Standard ML implementation |
|
|
rgf
☆
formula
|
Regularized Greedy Forest library |
|
|
smlnj
☆
cask
|
Compiler for the Standard ML '97 programming language |
110.99.9 |
|
torchvision
☆
formula
|
Datasets, transforms, and models for computer vision |
0.24.1 |
|
xgboost
☆
formula
|
Scalable, Portable and Distributed Gradient Boosting Library |
|