583 Open source projects that are alternatives of or similar to Timeception

Code for : [Pattern Recognit. Lett. 2021] "Learn to cycle: Time-consistent feature discovery for action recognition" and [IJCNN 2021] "Multi-Temporal Convolutions for Human Action Recognition in Videos".

STEP: Spatio-Temporal Progressive Learning for Video Action Detection. CVPR'19 (Oral)

Deep Convolutional Bidirectional LSTM for Complex Activity Recognition with Missing Data. Human Activity Recognition Challenge. Springer SIST (2020)

Temporal Segments LSTM and Temporal-Inception for Activity Recognition

Video-friendly caffe -- comes with the most recent version of Caffe (as of Jan 2019), a video reader, 3D(ND) pooling layer, and an example training script for C3D network and UCF-101 data

A curated list of action recognition and related area resources

HAKE: Human Activity Knowledge Engine (CVPR'18/19/20, NeurIPS'20)

Dynamic Image Networks for Action Recognition

MotionSense Dataset for Human Activity and Attribute Recognition ( time-series data generated by smartphone's sensors: accelerometer and gyroscope)

C3D for Keras + TensorFlow

A one stop shop for all of your activity recognition needs.

As a part of the HAKE project, includes the reproduced SOTA models and the corresponding HAKE-enhanced versions (CVPR2020).

HAKE-Action in PyTorch

Paper list of activity prediction and related area

MR-CNNs for Large-Scale Scene Recognition

SHAInet - a pure Crystal machine learning library

Pytorch Imagenet Models Example + Transfer Learning (and fine-tuning)

深度学习与PyTorch入门实战视频教程 配套源代码和PPT

Türkiye'de yapılan derin öğrenme (deep learning) ve makine öğrenmesi (machine learning) çalışmalarının derlendiği sayfa.

Quantization of Convolutional Neural networks.

🙈A PyTorch implementation of the paper "Visualizing and Understanding Convolutional Networks." （ECCV 2014)

Multi-Person Pose Estimation project for Tensorflow 2.0 with a small and fast model based on MobilenetV3

Easily craft fast Neural Networks on iOS! Use TensorFlow models. Metal under the hood.

Detect and recognize The Simpsons characters using Keras and Faster R-CNN

Generate slow-motion videos by interpolating more frames

Nonrigid image registration using multi-scale 3D convolutional neural networks

Be Driven 🚘

Labeled images of the Where's Waldo puzzle for use in classification and image recognition problems.

An open-source toolbox for action understanding based on PyTorch

Reproduce CheXNet

This repository contains the code of LiviaNET, a 3D fully convolutional neural network that was employed in our work: "3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study"

Various CNN models for CIFAR10 with Chainer

Code for the paper Benchmark Analysis of Representative Deep Neural Network Architectures

lock mechanism with face recognition and liveness detection

[ACM MM 2018] Attribute-Aware Attention Model for Fine-grained Representation Learning

The Pytorch Implementation of L-Softmax

S. Su, M. Delbracio, J. Wang, G. Sapiro, W. Heidrich, O. Wang. Deep Video Deblurring. CVPR 2017, Spotlight

[DEPRECATED] A Neural Network based generative model for captioning images using Tensorflow

A curated list of Deep Learning resources sorted by reputation

A list of the Human-Object Interaction Learning studies.

Implementation of Convolutional Neural Networks for Sentence Classification (Y.Kim, EMNLP 2014) on Pytorch.

Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.

Exploration of different solutions to action recognition in video, using neural networks implemented in PyTorch.

A binary library for very fast face detection using compact CNNs.

TensorFlow code for finetuning I3D model on UCF101.

Explore Action Recognition

A neural network to generate captions for an image using CNN and RNN with BEAM Search.

Handwritten Digit Recognition using Machine Learning and Deep Learning

Fast Neural Style Transfer implementation in PyTorch 🎨 🎨 🎨

Abnormal Event Detection in Videos using SpatioTemporal AutoEncoder

[ECCV 2018] Sparsely Aggreagated Convolutional Networks https://arxiv.org/abs/1801.05895

Tensorflow Implementation of "Recurrent Convolutional Neural Network for Text Classification" (AAAI 2015)

[CVPR19] DeepCO3: Deep Instance Co-segmentation by Co-peak Search and Co-saliency (Oral paper)

一些关于机器学习的学习资料与研究介绍

Semi-Supervised Video Object Segmentation (VOS) with Tensorflow. Includes implementation of *MaskRNN: Instance Level Video Object Segmentation (NIPS 2017)* as part of the NIPS Paper Implementation Challenge.

Crack detection for an autonomous UAV

CNN image classifier implemented in Keras Notebook 🖼️.

convolutional lstm implementation in pytorch

Javascript/WebAssembly deep learning library for MLPs and convolutional neural networks