Pyro
pyro-ppl
Deep universal probabilistic programming with Python and PyTorch
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pyro-ppl
Deep universal probabilistic programming with Python and PyTorch
catboost
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python,…
modelscope
ModelScope: bring the notion of Model-as-a-Service to life.
TheAlgorithms
Collection of various algorithms in mathematics, machine learning, computer science, physics, etc implemented in C for educational purposes.
mage-ai
🧙 Build, run, and manage data pipelines for integrating and transforming data.
doccano
Open source annotation tool for machine learning practitioners.
horovod
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
mikel-brostrom
BoxMOT: Pluggable python and c++ SOTA multi-object tracking modules with support for axis-aligned and oriented bounding boxes
flairNLP
A very simple framework for state-of-the-art Natural Language Processing (NLP)
afshinea
VIP cheatsheets for Stanford's CS 229 Machine Learning
aimhubio
Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.
stanfordnlp
Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages
roboflow
RF-DETR is a real-time object detection and segmentation model architecture developed by Roboflow, SOTA on COCO, designed for fine-tuning. [ICLR 2026]
NirDiamant
22 prompt engineering techniques with hands-on Jupyter Notebook tutorials, from fundamental concepts to advanced strategies for leveraging LLMs.
h2oai
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeli…