Neuralforecast
Nixtla
Scalable and user friendly neural :brain: forecasting algorithms.
OPENAGENTSKILL / DIRECTORY
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Results: 18
Nixtla
Scalable and user friendly neural :brain: forecasting algorithms.
weslynn
AI Roadmap:机器学习(Machine Learning)、深度学习(Deep Learning)、对抗神经网络(GAN),图神经网络(GNN),NLP,大数据相关的发展路书(roadmap), 并附海量源码(python,pytorch)带大家消化基本知识点,突破面试,完成从新手到合格工程师的跨越,其中深度学习相关论文附有te…
jeffheaton
T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis
qualcomm
AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.
chemprop
Message Passing Neural Networks for Molecule Property Prediction
fangwei123456
SpikingJelly is an open-source deep learning framework for Spiking Neural Network (SNN) based on PyTorch.
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.
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.
ludwig-ai
Low-code framework for building custom LLMs, neural networks, and other AI models
lutzroeder
Visualizer for neural network, deep learning and machine learning models
BindsNET
Simulation of spiking neural networks (SNNs) using PyTorch.
skorch-dev
A scikit-learn compatible neural network library that wraps PyTorch
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