Capsule Networks
gram-ai
A PyTorch implementation of the NIPS 2017 paper "Dynamic Routing Between Capsules".
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1.8KGitHub
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Results · “efficient-networks”
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Efficient Dl Systems
mryab
Efficient Deep Learning Systems course materials (HSE, YSDA)
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1KGitHub
Chemprop
chemprop
Message Passing Neural Networks for Molecule Property Prediction
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2.4KGitHub
NeuroNER
Franck-Dernoncourt
Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.
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1.7KGitHub
Cnn Explainer
poloclub
Learning Convolutional Neural Networks with Interactive Visualization.
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9KGitHub
Have Fun With Machine Learning
humphd
An absolute beginner's guide to Machine Learning and Image Classification with Neural Networks
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5.1KGitHub
Deep Learning Book
rasbt
Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"
Ml AutomationReview before use
2.8KGitHub
Reformer Pytorch
lucidrains
Reformer, the efficient Transformer, in Pytorch
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2.2KGitHub
Oneflow
Oneflow-Inc
OneFlow is a deep learning framework designed to be user-friendly, scalable and efficient.
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9.4KGitHub
VisionMamba
kyegomez
Implementation of Vision Mamba from the paper: "Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model" It's 2.8x faster than DeiT a…
Ml AutomationReview before use
495GitHub
PyTorch StudioGAN
POSTECH-CVLab
StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation.
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3.5KGitHub
T81 558 Deep Learning
jeffheaton
T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis
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5.7KGitHub
Snntorch
jeshraghian
Deep and online learning with spiking neural networks in Python
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2KGitHub
Neuralcoref
huggingface
✨Fast Coreference Resolution in spaCy with Neural Networks
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2.9KGitHub
Bender
xmartlabs
Easily craft fast Neural Networks on iOS! Use TensorFlow models. Metal under the hood.
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1.8KGitHub
Pytorch
pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
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100.8KGitHub
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