Neuralforecast
Nixtla
Scalable and user friendly neural :brain: forecasting algorithms.
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Nixtla
Scalable and user friendly neural :brain: forecasting algorithms.
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…
NVlabs
Official implementation of "Neuralangelo: High-Fidelity Neural Surface Reconstruction" (CVPR 2023)
huggingface
✨Fast Coreference Resolution in spaCy with Neural Networks
ajbrock
A simple interface for editing natural photos with generative neural networks.
JordiCorbilla
Predicting stock prices using a TensorFlow LSTM (long short-term memory) neural network for times series forecasting
JuliaGraphs
ourownstory
NeuralProphet: A simple forecasting package
mikeoliphant
Neural Amp Modeler LV2 plugin
pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
NVlabs
Instant neural graphics primitives: lightning fast NeRF and more
google-deepmind
TensorFlow-based neural network library
pytorch
High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.
jeffheaton
T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis
google-deepmind
qualcomm
AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.