Chainer
chainer
A flexible framework of neural networks for deep learning
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Results: 56
chainer
A flexible framework of neural networks for deep learning
tensorspace-team
Neural network 3D visualization framework, build interactive and intuitive model in browsers, support pre-trained deep learning models from TensorFlow, Keras, TensorFlow…
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
horovod
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA sequencing data.
ludwig-ai
Low-code framework for building custom LLMs, neural networks, and other AI models
poloclub
Learning Convolutional Neural Networks with Interactive Visualization.
BindsNET
Simulation of spiking neural networks (SNNs) using PyTorch.
donnemartin
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumP…
r9y9
PyTorch implementation of convolutional neural networks-based text-to-speech synthesis models
chelsea0x3b
Deep learning in Rust, with shape checked tensors and neural networks
szilard
A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of…
skorch-dev
A scikit-learn compatible neural network library that wraps PyTorch
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