YongYu123

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doubao_community_frontend

手把手vue+springboot前后端分离项目实战---豆宝社区前端项目代码

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DeepLearing-Interview-Awesome-2024

AIGC-interview/CV-interview/LLMs-interview面试问题与答案集合仓，同时包含工作和科研过程中的新想法、新问题、新资源与新项目

ultralytics

NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite

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openai-cookbook

Examples and guides for using the OpenAI API

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ebook-GPT-translator

Enjoy reading with your favorite style.

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Disentangled-Sequential-Autoencoder

Variational Autoencoder for Unsupervised and Disentangled Representation Learning of content and motion features in sequential data (Mandt et al.).

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GP-VAE

TensorFlow implementation for the GP-VAE model described in https://arxiv.org/abs/1907.04155

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BRITS

Code of NIPS18 Paper: BRITS: Bidirectional Recurrent Imputation for Time Series

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Machine-Learning-Collection

A resource for learning about Machine learning & Deep Learning

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ConvLSTM-PyTorch

ConvLSTM/ConvGRU (Encoder-Decoder) with PyTorch on Moving-MNIST

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ConvLSTM-Pytorch

Implementation of ConvLSTM in pytorch applied for BCI (Brain Machine Interface) following paper: Convolutional LSTM Network-A Machine Learning Approach for Precipitation Nowcasting

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thetis

Finite element flow solver for simulating coastal and estuarine flows.

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pytorch-mdn

Mixture Density Networks (MDN) implemented in PyTorch

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WorldModelsExperiments

World Models Experiments

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worldmodels.github.io

World Models

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STS-CNN

Q. Zhang, Q. Yuan, C. Zeng, X. Li, and Y. Wei, “Missing Data Reconstruction in Remote Sensing image with a Unified Spatial-Temporal-Spectral Deep Convolutional Neural Network,” IEEE TGRS, 2018.

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write-rnn-tensorflow

Generative Handwriting using LSTM Mixture Density Network with TensorFlow

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ConvLSTM_pytorch

Implementation of Convolutional LSTM in PyTorch.

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NormalizingFlowNetwork

Bayesian and Maximum Likelihood Implementation of the Normalizing Flow Network (NFN): https://arxiv.org/abs/1907.08982

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DeepCDE

Neural networks for conditional density estimation

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FlexCode

Implementation of Flexible Conditional Density Estimator

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RFCDE

Random Forests for Conditional Density Estimation

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NNKCDE

Nearest Neighbor Kernel Conditional Density Estimation

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KDEpy

Kernel Density Estimation in Python

Language:Jupyter NotebookBSD-3-Clause55500

densratio_py

A Python Package for Density Ratio Estimation

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EvolutionaryGAN-pytorch

The author's officially unofficial Pytorch EvolutionaryGAN implementation.

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NeuralCDE

Code for "Neural Controlled Differential Equations for Irregular Time Series" (Neurips 2020 Spotlight)

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LinCDE

LinCDE: Conditional Density Estimation via Lindsey's Method

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pytorch-MDN

Mixture Density Network implementation PyTorch

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torchcde

Differentiable controlled differential equation solvers for PyTorch with GPU support and memory-efficient adjoint backpropagation.

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