284 Open source projects that are alternatives of or similar to C3d Keras

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

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

Paper list of activity prediction and related area

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

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

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

HAKE-Action in PyTorch

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

Timeception for Complex Action Recognition, CVPR 2019 (Oral Presentation)

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".

A curated list of action recognition and related area resources

lock mechanism with face recognition and liveness detection

UNet is a fully convolutional network(FCN) that does image segmentation. Its goal is to predict each pixel's class. It is built upon the FCN and modified in a way that it yields better segmentation in medical imaging.

Hyperparameter Optimization for TensorFlow, Keras and PyTorch

Deep Learning with Tensor Flow for EEG MNE Epoch Objects

Weakly Supervised Action Recognition and Detection

Trajectory-pooled Deep-Convolutional Descriptors

Human Activity Recognition (HAR) with 1D Convolutional Neural Network in Python and Keras

ResUNet, a semantic segmentation model inspired by the deep residual learning and UNet. An architecture that take advantages from both(Residual and UNet) models.

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

Generic PyTorch Dataset Implementation for Loading, Preprocessing and Augmenting Video Datasets

Video Classification based on PyTorch

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)

TensorFlow code for finetuning I3D model on UCF101.

Implemented the YOLO algorithm for scene text detection in keras-tensorflow (No object detection API used) The code can be tweaked to train for a different object detection task using YOLO.

A End to End CNN Model which predicts the steering wheel angle based on the video/image

Some State-of-the-Art few shot learning algorithms in tensorflow 2

Cloud ML Engine repo. Please visit the new Vertex AI samples repo at https://github.com/GoogleCloudPlatform/vertex-ai-samples

TensorFlow 2.0 library for distributed training, evaluation, model selection, and fast prototyping.

Generic U-Net Tensorflow 2 implementation for semantic segmentation

BERT, AWS RDS, AWS Forecast, EMR Spark Cluster, Hive, Serverless, Google Assistant + Raspberry Pi, Infrared, Google Cloud Platform Natural Language, Anomaly detection, Tensorflow, Mathematics

A tutorial for using deep learning for activity recognition (Pytorch and Tensorflow)

Applying UNET Model on TGS Salt Identification Challenge hosted on Kaggle

Temporal 3D ConvNet

InferPy: Deep Probabilistic Modeling with Tensorflow Made Easy

3D ResNets for Action Recognition

This project seeks to utilize Deep Learning models, Long-Short Term Memory (LSTM) Neural Network algorithm, to predict stock prices.

Code & Models for Temporal Segment Networks (TSN) in ECCV 2016

An open-source toolbox for action understanding based on PyTorch

A Tutorial for Serving Tensorflow Models using Kubernetes

Generating Captions for images using Deep Learning

一些关于机器学习的学习资料与研究介绍

To keep updates with VRU Grand Challenge, please use https://github.com/NExTplusplus/VidVRD-helper

A list of the Human-Object Interaction Learning studies.

Skeleton-based Action Recognition Papers and Small Notes and Top 2 Leaderboard for NTU-RGBD

Explore Action Recognition

🍴 Annotations for the EPIC KITCHENS-55 Dataset.

[CVPR 2021] TDN: Temporal Difference Networks for Efficient Action Recognition

This repo allocate DAPs code of our ECCV 2016 publication

Implementation of Very Deep Convolutional Neural Network for Text Classification

keras implementation of inflated 3d from Quo Vardis paper + weights

React Native wrapper for the Activity Recognition API.

The Wearables Development Toolkit - a development environment for activity recognition applications with sensor signals

Deep neural network to extract intelligent information from invoice documents.

Pytorch model zoo for human, include all kinds of 2D CNN, 3D CNN, and CRNN

EPIC-KITCHENS-55 baselines for Action Recognition

A simple self driving car in GTAV that uses the Xception deep neural network model with DeepGTAV

Tools for movie and video research