IntroNeuralNetworks
VivekPa
Introducing neural networks to predict stock prices
OPENAGENTSKILL / DIRECTORY
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Results: 81
VivekPa
Introducing neural networks to predict stock prices
gram-ai
A PyTorch implementation of the NIPS 2017 paper "Dynamic Routing Between Capsules".
xiaoyufenfei
Lightweight models for real-time semantic segmentationon PyTorch (include SQNet, LinkNet, SegNet, UNet, ENet, ERFNet, EDANet, ESPNet, ESPNetv2, LEDNet, ESNet, FSSNet, CG…
lucidrains
Implementation of LambdaNetworks, a new approach to image recognition that reaches SOTA with less compute
gboeing
Download, model, analyze, and visualize street networks and other geospatial features from OpenStreetMap.
jeffheaton
T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis
chemprop
Message Passing Neural Networks for Molecule Property Prediction
jeshraghian
Deep and online learning with spiking neural networks in Python
huggingface
✨Fast Coreference Resolution in spaCy with Neural Networks
KupynOrest
Image Deblurring using Generative Adversarial Networks
aiff22
Software and pre-trained models for automatic photo quality enhancement using Deep Convolutional Networks
ajbrock
A simple interface for editing natural photos with generative neural networks.
xmartlabs
Easily craft fast Neural Networks on iOS! Use TensorFlow models. Metal under the hood.
Franck-Dernoncourt
Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.
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