350 Open source projects that are alternatives of or similar to Hcn Prototypeloss Pytorch

Awesome Few-shot learning

This repository contains the code implementation used in the paper Temporally Coherent Embeddings for Self-Supervised Video Representation Learning (TCE).

PyTorch Implementations For A Series Of Deep Learning-Based Recommendation Models (IN PROGRESS)

awesome few shot / meta learning papers

Source codes for "Improved Few-Shot Visual Classification" (CVPR 2020), "Enhancing Few-Shot Image Classification with Unlabelled Examples" (WACV 2022), and "Beyond Simple Meta-Learning: Multi-Purpose Models for Multi-Domain, Active and Continual Few-Shot Learning" (Neural Networks 2022 - in submission)

Tensorflow implementation for paper: Learning to Compare: Relation Network for Few-Shot Learning.

A Fast Deep Learning Model to Upsample Low Resolution Videos to High Resolution at 30fps

🔎 Monitor deep learning model training and hardware usage from your mobile phone 📱

PyTorch implementation of the U-Net for image semantic segmentation with high quality images

Skeleton-based Action Recognition

OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark

A TensorBoard plugin for visualizing arbitrary tensors in a video as your network trains.

CNN-RNN中文文本分类，基于TensorFlow

PyTorch implementation of two-stream networks for video action recognition

Tutorial for video classification/ action recognition using 3D CNN/ CNN+RNN on UCF101

A comprehensive survey of deep metric learning and related works

Code for the NeurIPS 2017 Paper "Prototypical Networks for Few-shot Learning"

Awesome Multitask Learning Resources

[CVPR'17] Training a Correlation Filter end-to-end allows lightweight networks of 2 layers (600 kB) to high performance at fast speed..

Hardnet descriptor model - "Working hard to know your neighbor's margins: Local descriptor learning loss"

This repository allows you to get started with a gui based training a State-of-the-art Deep Learning model with little to no configuration needed! NoCode training with TensorFlow has never been so easy.

Conversation models in TensorFlow. (website removed)

Collection for Few-shot Learning

📈 TensorFlow + Matplotlib as TF ops

The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.

Automated Machine Learning with scikit-learn

Start Tensorboard in Jupyter Notebook

This repository host the code for real-time action detection paper

The open and extensible integrated development environment (IDE) for computer vision with built-in modules for model building, automated labeling, data processing, model training, hyperparameter tuning and workflow orchestration.

Generate your own cartoon-style images with CartoonGAN (CVPR 2018), powered by TensorFlow 2.0 Alpha.

Apply ML to the skeletons from OpenPose; 9 actions; multiple people. (WARNING: I'm sorry that this is only good for course demo, not for real world applications !!! Those ary very difficult !!!)

Using two stream architecture to implement a classic action recognition method on UCF101 dataset

Meta-Learning with Differentiable Convex Optimization (CVPR 2019 Oral)

This repository allows you to get started with training a state-of-the-art Deep Learning model with little to no configuration needed! You provide your labeled dataset or label your dataset using our BMW-LabelTool-Lite and you can start the training right away and monitor it in many different ways like TensorBoard or a custom REST API and GUI. NoCode training with YOLOv4 and YOLOV3 has never been so easy.

A collection of recent video understanding datasets, under construction!

CNN visualization tool in TensorFlow

Standalone TensorBoard for visualizing in deep learning

Gluon CV Toolkit

Tensorflow Faster RCNN for Object Detection

A list of high-quality (newest) AutoML works and lightweight models including 1.) Neural Architecture Search, 2.) Lightweight Structures, 3.) Model Compression, Quantization and Acceleration, 4.) Hyperparameter Optimization, 5.) Automated Feature Engineering.

How to use TensorLayer

A dataset of datasets for learning to learn from few examples

Action recognition using soft attention based deep recurrent neural networks

PyTorch code for CVPR 2018 paper: Learning to Compare: Relation Network for Few-Shot Learning (Few-Shot Learning part)

In defence of metric learning for speaker recognition

Source code/webpage/demos for the What-If Tool

Official source code of "Batch DropBlock Network for Person Re-identification and Beyond" (ICCV 2019)

🔥🔥 PyTorch implementation of "Progressive growing of GANs (PGGAN)" 🔥🔥

A curated list of action recognition and related area resources

This is the implementation of paper <Additive Margin Softmax for Face Verification>

A PyTorch library for benchmarking deep metric learning. It's powerful.

Repository for few-shot learning machine learning projects

3D ResNets for Action Recognition (CVPR 2018)

A simple yet effective loss function for face verification.

Official pytorch Implementation of Relational Knowledge Distillation, CVPR 2019

This repo provides pytorch code which replicates the results of the Matching Networks for One Shot Learning paper on the Omniglot and MiniImageNet dataset

temporal action detection with SSN

Reinforcement Learning Tutorial with Demo: DP (Policy and Value Iteration), Monte Carlo, TD Learning (SARSA, QLearning), Function Approximation, Policy Gradient, DQN, Imitation, Meta Learning, Papers, Courses, etc..

[ICCV 2021 Oral] Deep Evidential Action Recognition

Implementation of "Make One-Shot Video Object Segmentation Efficient Again” and the semi-supervised fine-tuning "e-OSVOS" approach (NeurIPS 2020).