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OpenMMLab Detection Toolbox and Benchmark
NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
LabelImg is now part of the Label Studio community. The popular image annotation tool created by Tzutalin is no longer actively being developed, but you can check out Label Studio, the open source …
Graph Neural Network Library for PyTorch
Python package built to ease deep learning on graph, on top of existing DL frameworks.
Perform data science on data that remains in someone else's server
A library to generate LaTeX expression from Python code.
A list of popular github projects related to deep learning
Data on COVID-19 (coronavirus) cases, deaths, hospitalizations, tests • All countries • Updated daily by Our World in Data
This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.
Code and hyperparameters for the paper "Generative Adversarial Networks"
Implementation and experiments of graph embedding algorithms.
Generate embeddings from large-scale graph-structured data.
Graph Attention Networks (https://arxiv.org/abs/1710.10903)
OpenMMLab YOLO series toolbox and benchmark. Implemented RTMDet, RTMDet-Rotated,YOLOv5, YOLOv6, YOLOv7, YOLOv8,YOLOX, PPYOLOE, etc.
Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)
A Python package for segmenting geospatial data with the Segment Anything Model (SAM)
Keras Attention Layer (Luong and Bahdanau scores).
Implementation of EfficientNet model. Keras and TensorFlow Keras.
A Python package for time series classification
Deep Learning for Time Series Classification
PyTorch implementation of Multi-Label Image Recognition with Graph Convolutional Networks, CVPR 2019.
Returns latest research results by crawling arxiv papers and summarizing abstracts. Helps you stay afloat with so many new papers everyday.
Pytorch Repo for DeepGCNs (ICCV'2019 Oral, TPAMI'2021), DeeperGCN (arXiv'2020) and GNN1000(ICML'2021): https://www.deepgcns.org
official implementation for the paper "Simplifying Graph Convolutional Networks"
Visualizing RNNs using the attention mechanism
Evolving a neural network with a genetic algorithm.
Fully Convlutional Neural Networks for state-of-the-art time series classification