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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.

Deep learning optimization library that makes distributed training easy, efficient, and effective.

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.

A deep learning-based translation library between 50 languages, built with transformers.

Clojure wrapper for Deeplearning4j.

Ready to use deeplearning docker images.

Deep learning operations reinvented (for pytorch, tensorflow, jax and others).

Making neural nets uncool again, focused on making deep learning more accessible.

Library for high performance deep learning inference on NVIDIA GPUs.

Deep Neural Networks for Golang (powered by MXNet).

Distributed deep learning training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.

Implementation of image to image (pix2pix) translation from the paper by isola et al.[DEEP LEARNING].

Clojure wrapper for deeplearning4j with some added syntactic sugar.

Koç University Deep Learning Framework.

Deep learning framework written in Kotlin.

Application-oriented deep reinforcement learning framework addressing real-world decision problems.

MegEngine is a fast, scalable and easy-to-use deep learning framework, with auto-differentiation.

Flexible Deep Learning Framework in Julia.

MindSpore is a new open source deep learning training/inference framework that could be used for mobile, edge and cloud scenarios.

500+ ML/AI interview Q&A with runnable code — covers ML fundamentals, deep learning, NLP, PyTorch, scikit-learn pipelines, and system design.

Discover open source deep learning code and pretrained models.

List of molecular design using Generative AI and Deep Learning.

A flexible and efficient library for deep learning.