这是一个deeplabv3-plus-pytorch的源码，可以用于训练自己的模型。

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )

Caffe Implementation of Google's MobileNets (v1 and v2)

Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

R-FCN with joint training and python support

Tensors and Dynamic neural networks in Python with strong GPU acceleration

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

NLP made easy

🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.

A TensorFlow implementation of DeepMind's WaveNet paper

A PyTorch implementation of the Transformer model in "Attention is All You Need".

Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

An Open Source Machine Learning Framework for Everyone

Representation learning on large graphs using stochastic graph convolutions.

A TensorFlow Implementation of the Transformer: Attention Is All You Need

利用PyTorch对Transformer原论文Attention is all you need进行复现，同时也包括Transformer模型的深入解读

Collect papers about graph

交通流量多模型预测

本专栏我将使用谷歌TensorFlow2.0框架逐一复现经典的卷积神经网络：LeNet、AlexNet、VGG系列、GooLeNet、ResNet 系列、DenseNet 系列，以及现在比较流行的：RCNN系列、SSD、YOLO系列等。

Taxi Origin-Destination Demand Prediction

Temporal Graph Convolutional Network for Urban Traffic Flow Prediction Method

A Hybrid Deep Learning Model with Attention based ConvLSTM Networks for Short-Term Traffic Flow Prediction