marcusnerva Goto Github PK

algorithm

attention-is-all-you-need-pytorch

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

cpp_concurrency_in_action

:book: 作为对《C++ Concurrency in Action》英文版的中文翻译。

deep_sort_pytorch

MOT tracking using deepsort and yolov3 with pytorch

detail-captioning

do some experiment to verify my idea

fairmot

A simple baseline for one-shot multi-object tracking

faster-r-cnn-with-model-pretrained-on-visual-genome

Faster RCNN model in Pytorch version, pretrained on the Visual Genome with ResNet 101

flownet2-pytorch

Pytorch implementation of FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks

graph-rcnn.pytorch

Pytorch code for our ECCV 2018 paper "Graph R-CNN for Scene Graph Generation" and other papers

hmn

[CVPR2022] Official code for Hierarchical Modular Network for Video Captioning. Our proposed HMN is implemented with PyTorch.

iccv2019_controllable

The code of Controllable Video Captioning with POS Sequence Guidance Based on Gated Fusion Network

kinetics-i3d

Convolutional neural network model for video classification trained on the Kinetics dataset.

lihang-code

《统计学习方法》的代码实现

machine-learning-learning-notes

周志华《机器学习》又称西瓜书是一本较为全面的书籍，书中详细介绍了机器学习领域不同类型的算法(例如：监督学习、无监督学习、半监督学习、强化学习、集成降维、特征选择等)，记录了本人在学习过程中的理解思路与扩展知识点，希望对新人阅读西瓜书有所帮助！

msdn

This is our PyTorch implementation of Multi-level Scene Description Network (MSDN) proposed in our ICCV 2017 paper.

nlp

final homework

pytorch-book

PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation

rlhmn

Code for TPAMI: Learning Hierarchical Modular Networks for Video Captioning

spatio_temporal_graph

three_dimension_feature_extractor

Video classification tools using 3D ResNet

transformers

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

two_dimension_feature_extractor

basic tool

vision

Datasets, Transforms and Models specific to Computer Vision

yolov5

YOLOv5 in PyTorch > ONNX > CoreML > TFLite