List of molecular design using Generative AI and Deep Learning.
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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.
Helps find, analyze or synthesize information for research and knowledge discovery.
A PyTorch implementation of DeepDream.
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).
Free and open source face recognition with deep neural networks.
Enables single machine or distributed training and evaluation of deep learning models.
A platform for reproducible and scalable machine learning and deep learning on kubernetes.
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.
Intelligent AI canvas for deep work, research, and learning.
Write Advance Articles using Multiple AI Models like GPT4, Gemini, Deepseek and grok.
Restricted Boltzmann Machines in Python. [DEEP LEARNING].
Deep learning based facial detector for Python coming with facial landmarks.
An educational resource designed to let anyone learn to become a skilled practitioner in deep reinforcement learning.
Uniform deep learning inference framework for mobile, desktop and server.
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