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Holistic Video Understanding Dataset Webpage
The project is an official implement of our ECCV2018 paper "Simple Baselines for Human Pose Estimation and Tracking(https://arxiv.org/abs/1804.06208)"
Code for unsupervised learning of object landmarks as proposed in "Unsupervised Learning of Object Landmarks through Conditional Image Generation", Tomas Jakab*, Ankush Gupta*, Hakan Bilen, Andrea Vedaldi, Advances in Neural Information Processing Systems (NeurIPS) 2018.
Deep Learning library for Python. Runs on TensorFlow, Theano, or CNTK.
Keras implementations of Generative Adversarial Networks.
Neural network visualization toolkit for keras
Convolutional neural network model for video classification trained on the Kinetics dataset.
Inflated i3d network with inception backbone, weights transfered from tensorflow
Long-term Temporal Convolutions for Action Recognition, PAMI 2017
Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.
Implementation of a content based image classifier using the bag of visual words approach in Python together with Lowe's SIFT and Libsvm.
Experimental keras implementation of novel neural network structures
Implementation of Non-local Block.
Pytorch Implementation of "Object level Visual Reasoning in Videos", F. Baradel, N. Neverova, C. Wolf, J. Mille, G. Mori , ECCV 2018
Repository for OpenCV's extra modules
Recommended Papers. Subjects: Computer Vision and Pattern Recognition (cs.CV); Artificial Intelligence (cs.AI); Learning (cs.LG)
Learning Latent Dynamics for Planning from Pixels
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Image-to-image translation in PyTorch (e.g., horse2zebra, edges2cats, and more)
DeepLab resnet v2 model in pytorch
PyTorch implementations of Generative Adversarial Networks.
Pytorch implementation of group normalization in https://arxiv.org/abs/1803.08494 (Following the PyTorch Style)
Count the MACs / FLOPs of your PyTorch model.
πThe Big-&-Extending-Repository-of-Transformers: Pretrained PyTorch models for Google's BERT, OpenAI GPT & GPT-2, Google/CMU Transformer-XL.
Compact Bilinear Pooling for PyTorch
Convolutional Gated Recurrent Units implemented in PyTorch
pytorch model summary, statistic parameters number, memory usage, FLOPs and so on
Shallow and Deep Convolutional Networks for Saliency Prediction
A declarative, efficient, and flexible JavaScript library for building user interfaces.
π Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. πππ
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google β€οΈ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.