List of molecular design using Generative AI and Deep Learning.
Directory
Search results
Published directory entries matching your search.
Montague is a semantic parsing library for Scala with an easy-to-use DSL.
Close your Morpher positions on Base during the wind-down. Settle at a locked final price and reclaim your MPH.
Machine learning model serving framework with dynamic batching and pipelined stages, provides an easy-to-use Python interface.
Works with speech, voice, music or other audio using machine-learning models.
A flexible and efficient library for deep learning.
Creates, rewrites or summarizes written content with language models.
MyVibe supports deploying, serving, monitoring, or operating AI and machine-learning systems.
CEA-List's CAD framework for designing and simulating Deep Neural Network, and building full DNN-based applications on embedded platforms.
Llama3 implementation one matrix multiplication at a time.
A Natural Adversarial Language Processing framework built over Tensorflow.
Napkin turns your text into visuals so sharing your ideas is quick and effective.
General natural language facilities for node.
Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.
Clojure Fast Matrix Library - GPU and native CPU.
Semantic search and workflows powered by language models.
Code samples for my book "Neural Networks and Deep Learning" [DEEP LEARNING].
Helps find, analyze or synthesize information for research and knowledge discovery.
A PyTorch implementation of DeepDream.
A parallel neural net microframework.
A PyTorch implementation of Justin Johnson's neural-style (neural style transfer).
Neuroph is lightweight Java neural network framework.
Join the discussion on this paper page.
We’re on a journey to advance and democratize artificial intelligence through open source and open science.