A flexible and efficient library for deep learning.
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Creates, rewrites or summarizes written content with language models.
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.
A library of shared system prompts for creating customized educational GPT agents.
Clojure Fast Matrix Library - GPU and native CPU.
IPython notebooks for a complete course around understanding Nervana's Neon.
Visualizer for neural network, deep learning and machine learning models.
Model viewer for inspecting neural network architecture files from many machine learning frameworks.
Supports teaching, studying or skills practice with AI-guided learning tools.
Code samples for my book "Neural Networks and Deep Learning" [DEEP LEARNING].
A free video series by Andrej Karpathy covering neural networks from scratch — backpropagation, makemore, GPT, and more.
A PyTorch implementation of DeepDream.
A parallel neural net microframework.
A PyTorch implementation of Justin Johnson's neural-style (neural style transfer).
NeuralTalk is a Python+numpy project for learning Multimodal Recurrent Neural Networks that describe images with sentences.
A framework providing the right abstractions to ease research, development, and deployment of your ML pipelines.
Open-source project that provides AI-assisted learning, courses, tutorials, or study support.
Named-entity recognition using neural networks providing state-of-the-art-results.
Neuroph is lightweight Java neural network framework.
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