Julia package for Regularized Discriminant Analysis.
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Darknet is an open source neural network framework written in C and CUDA. It is fast, easy to install, and supports CPU and GPU computation.
Very simple implementation of neural networks for dummies in python without using any libraries, with detailed comments.
Dataframes for machine-learning and statistics (similar to pandas).
A python library for accurate and scalable fuzzy matching, record deduplication and entity-resolution.
A fast Clojure Tensor & Deep Learning library.
Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.
Scalable deep learning for industry with parallel GPUs.
Deep learning optimization library that makes distributed training easy, efficient, and effective.
Train and run a computer vision model with 5-10 lines of code.
Scalable deep learning training platform with integrated hyperparameter tuning support; includes Hyperband, PBT, and other search methods.
Deep learning in Rust, with shape checked tensors and neural networks.
The Deep Learning GPU Training System (DIGITS) is a web application for training deep learning models.
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A deep learning-based translation library between 50 languages, built with transformers.
Many useful features that aren't part of the main nn package.
Python library for scalable Bayesian optimisation.
Reading Wikipedia to answer open-domain questions.
High performance library for time series distances (DTW) and time series clustering.
Design and Deploy Large Language Model Apps.
Python library for experiment metrics logging into simply formatted local files.
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An evolutionary optimization library.
Deep learning operations reinvented (for pytorch, tensorflow, jax and others).