Stars
causarray is a Python module for simultaneous causal inference with an array of outcomes.
Cross-validation methods designed for ensemble learning
User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
Ensemble methods in overparameterized learning
Collection of important articles to be treated as a textbook
Variational autoencoder for single-cell integration and transfer learning.
Python wrapper for the sparse QR decomposition in SuiteSparseQR.
TensorFlow GNN is a library to build Graph Neural Networks on the TensorFlow platform.
Joint Trajectory Inference for Single-cell Genomics Using Deep Learning with a Mixture Prior
A PyTorch implementation of "Auto-Encoding Variational Bayes" by Diederik P. Kingma and Max Welling
Alfred Workflow for TensorFlow, PyTorch, Scikit-learn, NumPy, Pandas, Matplotlib, Statsmodels, Jax, RLLib API Docs
A Julia package for solving systems of polynomials via homotopy continuation.
GB/T 7714-2015 BibTeX Style
A Tensorflow implementation of CapsNet(Capsules Net) in paper Dynamic Routing Between Capsules
A set of simple examples ported from PyTorch for Tensorflow Eager Execution
A paper list of object detection using deep learning.
el notebook de Cameron Davidson Pilon que es un cookbook de Bayes para Python
Implementation of Squeeze and Excitation Networks in Keras
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow