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Helps find, analyze or synthesize information for research and knowledge discovery.

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

OneFlow is a performance-centered and open-source deep learning framework.

An ONNX (Open Neural Network eXchange) API and backend for typeful, functional deep learning in Scala (3).

Enables single machine or distributed training and evaluation of deep learning models.

A Python library for secure and private Deep Learning built on PyTorch and TensorFlow.

Deep learning framework to train, deploy, and ship AI products Lightning fast.

A PyTorch-Based Framework for Deep Learning in Computer Vision.

Restricted Boltzmann Machines in Python. [DEEP LEARNING].

Deep learning based facial detector for Python coming with facial landmarks.

Uniform deep learning inference framework for mobile, desktop and server.

Theano based library for deep and recurrent neural networks.

Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.

Cheaper V4 model, supports thinking and non-thinking modes.

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

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

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

A PyTorch implementation of DeepDream.

Free and open source face recognition with deep neural networks.

Intelligent AI canvas for deep work, research, and learning.

Ranked Telegram bot #73 in the tgbotlist Top 100 quality directory.

Analyzes structured data and helps produce queries, insights or visualizations.

Paper by Dipankar Dasgupta, Deepak Venugopal and Kishor Datta Gupta.

Supports software work with AI-assisted coding, testing or application development.