128 Open source projects that are alternatives of or similar to skillful_nowcasting

A PyTorch Implementation of Convolutional Conditional Neural Process.

[CVPR2020] Adversarial Latent Autoencoders

Unofficial PyTorch Implementation for HifiFace (https://arxiv.org/abs/2106.09965)

Code for CheXpert Challenge 2019 Top 1 && Top 2 solution

PyTorch implementation of 'An Unsupervised Neural Attention Model for Aspect Extraction' by He et al. ACL2017'

Hyperparameter-Free Out-of-Distribution Detection Using Softmax of Scaled Cosine Similarity

Experimental tools (R) for Big Data econometrics nowcasting and early estimates

A repo containing code covering various aspects of deep learning on Pytorch. Great for beginners and intermediate in the field

Pytorch implementation of Paragraph-level Neural Question Generation with Maxout Pointer and Gated Self-attention Networks

A deep learning model to age faces in the wild, currently runs at 60+ fps on GPUs

The implementation of 3D-UNet using PyTorch

PyTorch implementation of SimCLR: supports multi-GPU training and closely reproduces results

If you've always wanted to learn about deep-learning but don't know where to start, then you might have stumbled upon the right place!

ResUNet++, CRF, and TTA for segmentation of medical images (IEEE JBIHI)

neural network based speaker embedder

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🍀 Pytorch Implementation of RandLA-Net (https://arxiv.org/abs/1911.11236)

If you can measure it, consider it predicted

Nowcasting

Pytorch Implementation of the paper - "Tidying Deep Saliency Prediction Architectures"

Online Deep Learning: Learning Deep Neural Networks on the Fly / Non-linear Contextual Bandit Algorithm (ONN_THS)

PyTorch implementation of ESRGAN (ECCVW 2018) for compressed image subjective quality enhancement.

ViNet Pushing the limits of Visual Modality for Audio Visual Saliency Prediction

Standard federated learning implementations in FedLab and FL benchmarks.

Pytorch implementation of Paper by Google Research - Representation Learning for Information Extraction from Form-like Documents.

A PyTorch Implementation of "Optimization of Molecules via Deep Reinforcement Learning".

Metrics for model evaluation in pytorch

PyTorch implementation of GANs (Generative Adversarial Networks). DCGAN, Pix2Pix, CycleGAN, SRGAN

🔥 OpenPose api wrapper in PyTorch.

Source code for our "TitleStylist" paper at ACL 2020

Neuro-Symbolic Visual Question Answering on Sort-of-CLEVR using PyTorch

PyTorch Implementation of SOTA SSL methods

[MICCAI2022] This is an official PyTorch implementation for A Robust Volumetric Transformer for Accurate 3D Tumor Segmentation

Implement of Dynamic Model Pruning with Feedback with pytorch

Satellite Optical Flow with machine learning models

Reproduce some methods in semi-supervised papers.

Use machine learning to map from satellite imagery of clouds to solar PV yield

Implementation of Sparse Shift Layer and Active Shift Layer (3D, 4D, 5D tensors) for PyTorch(CPU,GPU)

雷达回波外推，ConvLSTM，训练模型并外推。

This repo is official PyTorch implementation of MobileHumanPose: Toward real-time 3D human pose estimation in mobile devices(CVPRW 2021).

A Collection of Variational Autoencoders (VAE) in PyTorch.

Implement Question Generator with SOTA pre-trained Language Models (RoBERTa, BERT, GPT, BART, T5, etc.)

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

The aim of this repository is to show a baseline model for text classification by implementing a LSTM-based model coded in PyTorch. In order to provide a better understanding of the model, it will be used a Tweets dataset provided by Kaggle.

Easy-to-follow Pytorch tutorial Notebook for Multi-Agent-Diverse-Generative-Adversarial-Networks

Awesome Pytorch Tutorials

[UNMAINTAINED] A starter pack for creating a lightweight responsive web app for Fast.AI PyTorch models.

[ WSDM '19 ] Sequential Variational Autoencoders for Collaborative Filtering

The project is the official implementation of our CVPR 2021 paper, "Restoring Extremely Dark Images in Real Time"

Highly efficient PyTorch version of the Semi-hard Triplet loss ⚡️

Learning low-shot object classification with explicit shape bias learned from point clouds

PyTorch Implementation for Neural Graph Collaborative Filtering

"Self-training with Noisy Student improves ImageNet classification" pytorch implementation

[TPAMI Under Submission] Generative Multi-Label Zero-Shot Learning

A clean and lucid implementation of cycleGAN using PyTorch

Package towards building Explainable Forecasting and Nowcasting Models with State-of-the-art Deep Neural Networks and Dynamic Factor Model on Time Series data sets with single line of code. Also, provides utilify facility for time-series signal similarities matching, and removing noise from timeseries signals.

Topic clustering library built on Transformer embeddings and cosine similarity metrics.Compatible with all BERT base transformers from huggingface.

Code and dataset for the IJCAI 2021 paper "Document-level Relation Extraction as Semantic Segmentation".

PyTorch implementation of a collections of scalable Video Transformer Benchmarks.

Pythonic functions for creating and enhancing Hydra applications