6213 Open source projects that are alternatives of or similar to Face Recognition

This is the research product of the thesis manifold Learning of Latent Space Vectors in GAN for Image Synthesis. This has an application to the research, name a facial recognition system. The application was developed by consulting the FaceNet model.

Awesome Artificial Intelligence Projects

SphereFace+ Implementation for <Learning towards Minimum Hyperspherical Energy> in NIPS'18.

Face identification with cnn+triplet-loss written by Keras.

Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT.

Insightface face detection and recognition model that just works out of the box.

SeqFace : Making full use of sequence information for face recognition

Face Renderer to perform Domain (Face) Specific Data Augmentation

Face model to classify gender and race. Trained on LFWA+ Dataset.

TensorFlow 101: Introduction to Deep Learning for Python Within TensorFlow

Implementing Siamese networks with a contrastive loss for similarity learning

Face recognition and its application as attendance system

Implementation for <SphereFace: Deep Hypersphere Embedding for Face Recognition> in CVPR'17.

Face Recognition using Neural Networks implemented using Keras

One-shot Learning and deep face recognition notebooks and workshop materials

Self hosted alternative to Google Photos

ccf2016 sougou final winner solution

Repository for code used in my blog posts

Amazon SageMaker workshops: Introduction, TensorFlow in SageMaker, and more

🤖 💬 Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts)

Convolutional neural networks for artistic style transfer.

Jupyter for Visual Studio Code

Code from the Deep Reinforcement Learning in Action book from Manning, Inc

A collection of the latest AWS Security workshops

unet for image segmentation

The data is the future of oil, digging the potential value of the data is very meaningful. This library records my road of machine learning study.

AI for everyone! 🎉 Neural networks, tools and a library we use in Supervisely

BERT-NER (nert-bert) with google bert https://github.com/google-research.

Numba tutorial for GTC 2017 conference

Implementation of various topic models

Automatically exported from code.google.com/p/music-synthesizer-for-android

Code / solutions for Mathematics for Machine Learning (MML Book)

Tutorials and programming exercises for learning Q# and quantum computing

Face Recognition Library for OpenCV.

iPython notebook and pre-trained model that shows how to build deep Autoencoder in Keras for Anomaly Detection in credit card transactions data

This library augments road images to introduce various real world scenarios that pose challenges for training neural networks of Autonomous vehicles. Automold is created to train CNNs in specific weather and road conditions.

Core Data of HowNet and OpenHowNet Python API

Getting Started with Xilinx ML Suite

tutorial notebooks

Plain python implementations of basic machine learning algorithms

End-to-End recipes for pre-training and fine-tuning BERT using Azure Machine Learning Service

风格迁移三部曲

interactive notebooks from Planet Engineering

This is a kaggle challenge project called Display Advertising Challenge by CriteoLabs at 2014.这是2014年由CriteoLabs在kaggle上发起的广告点击率预估挑战项目。

[NeurIPS 2020] This project provides a strong single-stage baseline for Long-Tailed Classification, Detection, and Instance Segmentation (LVIS). It is also a PyTorch implementation of the NeurIPS 2020 paper 'Long-Tailed Classification by Keeping the Good and Removing the Bad Momentum Causal Effect'.

Deep Learning Zero to All - Pytorch

🍎 My own face recognition with deep neural networks.

Notebook example of how to generate class visualizations with Caffe

Data and code behind the Economist's Graphic Detail section.

Code for "Fast and Robust Multi-Person 3D Pose Estimation from Multiple Views" in CVPR'19

Kubeflow’s superfood for Data Scientists

Using approximate bayesian posteriors in deep nets for active learning

Best Practices and Style Guides in BEEVA

Google Cloud Datalab samples and documentation

Code related to blog posts on my Medium page

Dataset to assess the disentanglement properties of unsupervised learning methods

Code for the Deep Learning with PyTorch lesson

Keras- Multi Label Image Classification