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

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.

Implementation of model parallel autoregressive transformers on GPUs, based on the DeepSpeed library.

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

Code for hyperparameter tuning/optimization of machine learning and deep learning algorithms.

Koç University Deep Learning Framework.

Deep learning framework written in Kotlin.

A low-code framework for building custom AI models like LLMs and other deep neural networks. opensource.

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.

Uses AI agents to complete tasks, coordinate tools or automate multi-step workflows.

Uses AI agents to complete tasks, coordinate tools or automate multi-step workflows.

A flexible and efficient library for deep learning.

CEA-List's CAD framework for designing and simulating Deep Neural Network, and building full DNN-based applications on embedded platforms.

Visualizer for neural network, deep learning and machine learning models.

A PyTorch implementation of DeepDream.

An open-source cross-platform performance library for deep learning applications.