open source deep learning tools - AI tools

TFLearn is a modular and transparent deep learning library built on top of Tensorflow, designed to provide a higher-level API to facilitate and speed-up experimentations.

• Free

EBLearn is an object-oriented C++ library offering tools for building, training, and running machine learning models, with a special focus on energy-based and convolutional networks.

• Free

Project MONAI is a set of open-source frameworks designed to accelerate research and clinical collaboration in medical imaging using AI.

• Free

Keras is a deep learning API, designed for human beings, that provides a clear and consistent way to build and deploy machine learning models. It offers cross-framework compatibility with JAX, TensorFlow, and PyTorch.

• Free

Apache TVM is an open-source machine learning compiler framework designed to optimize and efficiently run computations on various hardware backends, including CPUs, GPUs, and accelerators.

• Free

Determined AI is an open-source deep learning platform that streamlines model training, distributed computing, and GPU resource management. It enables teams to train models faster while optimizing hardware utilization and experiment tracking.

• Contact for Pricing

Caffe is a high-performance deep learning framework developed by Berkeley AI Research (BAIR) that enables fast, modular, and expressive deep learning with seamless GPU/CPU switching capabilities.

• Free

Chainer is an open-source deep learning framework that provides intuitive and flexible development of neural networks with native Python support and GPU acceleration.

• Free

PyTorch is an open-source machine learning framework facilitating the transition from research prototyping to production deployment, featuring distributed training and a robust ecosystem.

• Free

PyImageSearch offers tutorials, books, and courses for learning Computer Vision, Deep Learning, and OpenCV, catering to both beginners and experts.

• Freemium