nannyml: post-deployment data science in python
APACHE-2.0 License
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Learn to make machines learn so that you don't have to struggle to program them; The ultimate list
OpenMMLab Foundational Library for Training Deep Learning Models
Unsupervised Language Modeling at scale for robust sentiment classification
Deep Learning Toolkit for Medical Image Analysis
NeuralProphet: A simple forecasting package
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Ka...
[tutorial]A functional, Data Science focused introduction to Python
Diffusers training with mmengine
Official Python SDK for Kern AI refinery.
Algorithms for outlier, adversarial and drift detection
The practitioner's forecasting library
Providing enterprise-grade LLM-based development framework, tools, and fine-tuned models.
1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
The WeightWatcher tool for predicting the accuracy of Deep Neural Networks