MeshCNN
ranahanocka
Convolutional Neural Network for 3D meshes in PyTorch
OPENAGENTSKILL / DIRECTORY
Find a skill for your next task. Explore tools for Codex, Claude Code, Cursor and more.
17–32 / 47
Results: 47
ranahanocka
Convolutional Neural Network for 3D meshes in PyTorch
Franck-Dernoncourt
Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.
graph4ai
Graph4nlp is the library for the easy use of Graph Neural Networks for NLP. Welcome to visit our DLG4NLP website (https://dlg4nlp.github.io/index.html) for various learn…
pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
pytorch
High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.
chainer
A flexible framework of neural networks for deep learning
humphd
An absolute beginner's guide to Machine Learning and Image Classification with Neural Networks
rasbt
Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"
NVlabs
Instant neural graphics primitives: lightning fast NeRF and more
DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA sequencing data.
abdulfatir
Sentiment analysis on tweets using Naive Bayes, SVM, CNN, LSTM, etc.
ludwig-ai
Low-code framework for building custom LLMs, neural networks, and other AI models
poloclub
Learning Convolutional Neural Networks with Interactive Visualization.
lutzroeder
Visualizer for neural network, deep learning and machine learning models
BindsNET
Simulation of spiking neural networks (SNNs) using PyTorch.
Owner-curated external sources. Not filtered by the scores or compatibility controls above; excluded from GitHub rankings and automatic installation.
No external entries match this query.