1.ludwig-ai / ludwig
Low-code framework for building custom LLMs, neural networks, and other AI models
+69 stars
from 11,723 · score 4.25
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2.tslearn-team / tslearn
The machine learning toolkit for time series analysis in Python
+30 stars
from 3,160 · score 3.43
3.vaexio / vaex
Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second 🚀
+21 stars
from 8,497 · score 3.09
4.horovod / horovodArchived
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
+8 stars
from 14,666 · score 2.20
5.AgnostiqHQ / covalent
Pythonic tool for orchestrating machine-learning/high performance/quantum-computing workflows in heterogeneous compute environments.
+2 stars
from 866 · score 1.10
6.gmalivenko / pytorch2keras
PyTorch to Keras model convertor
+1 stars
from 860 · score 0.69
7.jaswinder9051998 / zoofs
zoofs is a python library for performing feature selection using a variety of nature-inspired wrapper algorithms. The algorithms range from swarm-intelligence to physics-based to Evolutionary. It's easy to use , flexible and powerful tool to reduce your feature size.
+1 stars
from 254 · score 0.69