656 Open source projects that are alternatives of or similar to Splitbrainauto

Caffe implementation for "Hidden Two-Stream Convolutional Networks for Action Recognition"

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SESF-Fuse: An Unsupervised Deep Model for Multi-Focus Image Fusion

A sparsity aware implementation of "Deep Autoencoder-like Nonnegative Matrix Factorization for Community Detection" (CIKM 2018).

Training and evaluating a variational autoencoder for pan-cancer gene expression data

A review of change detection methods, including codes and open data sets for deep learning. From paper: change detection based on artificial intelligence: state-of-the-art and challenges.

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Caffe implementation for "Guided Optical Flow Learning"

The repository contains source code and models to use PixelNet architecture used for various pixel-level tasks. More details can be accessed at <http://www.cs.cmu.edu/~aayushb/pixelNet/>.

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A flexible version of CorEx developed for bio-data challenges that handles missing data, continuous/discrete variables, multi-CPU, overlapping structure, and includes visualizations

Generative Probabilistic Novelty Detection with Adversarial Autoencoders

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

Official Pytorch Implementation for ICML'19 paper: Unsupervised Deep Learning by Neighbourhood Discovery

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Unsupervised learning and generative models in python/pytorch.

Reference implementation of Diffusion2Vec (Complenet 2018) built on Gensim and NetworkX.

The authors' implementation of Unsupervised Adversarial Learning of 3D Human Pose from 2D Joint Locations

Data-parallel image stylization using Caffe.

Kaggle dogs vs cats solution in Caffe

Code & data accompanying the KDD 2017 paper "KATE: K-Competitive Autoencoder for Text"

A curated list of community detection research papers with implementations.

Deep learning meets molecular dynamics.

Detection of Accounting Anomalies using Deep Autoencoder Neural Networks - A lab we prepared for NVIDIA's GPU Technology Conference 2018 that will walk you through the detection of accounting anomalies using deep autoencoder neural networks. The majority of the lab content is based on Jupyter Notebook, Python and PyTorch.

Convert darknet weights to caffemodel

PyTorch implementation of DEC (Deep Embedding Clustering)

Unofficial implementation with pytorch DistributedDataParallel for "MoCo: Momentum Contrast for Unsupervised Visual Representation Learning"

Gradient Origin Networks - a new type of generative model that is able to quickly learn a latent representation without an encoder

Autoencoders in Keras

Autoregressive Predictive Coding: An unsupervised autoregressive model for speech representation learning

Tensorflow implementation of Unsupervised Depth Completion from Visual Inertial Odometry (in RA-L January 2020 & ICRA 2020)

SeqFace : Making full use of sequence information for face recognition

开源人脸口罩检测模型和数据 Detect faces and determine whether people are wearing mask.

Noise-Tolerant Paradigm for Training Face Recognition CNNs

speech to text with self-supervised learning based on wav2vec 2.0 framework

Reimplementation ResNet on cifar10 with caffe

train resnet on imagenet from scratch with caffe

This is an implematation project of face detection and recognition. The face detection using MTCNN algorithm, and recognition using LightenenCNN algorithm.

Caffe implementation of "Fast and Accurate Single Image Super-Resolution via Information Distillation Network" (CVPR 2018)

The standard package for machine learning with noisy labels, finding mislabeled data, and uncertainty quantification. Works with most datasets and models.

Unsupervised Learning of Multi-Frame Optical Flow with Occlusions

R, Python and Mathematica Codes in Machine Learning, Deep Learning, Artificial Intelligence, NLP and Geolocation

📹 一个短视频APP视频内容安全审核的思路调研及实现汇总

An unsupervised learning framework for depth and ego-motion estimation from monocular videos

Structural Deep Clustering Network

An extensive machine learning library, made from scratch (Python).

rectorch is a pytorch-based framework for state-of-the-art top-N recommendation

Caffe and Python implementation of Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks

Handle class imbalance intelligently by using variational auto-encoders to generate synthetic observations of your minority class.

Pytorch implementation of "One-Shot Unsupervised Cross Domain Translation" NIPS 2018

e3d-lstm; Eidetic 3D LSTM A Model for Video Prediction and Beyond

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[5 FPS - 150 FPS] Learning Deep Features for One-Class Classification (AnomalyDetection). Corresponds RaspberryPi3. Convert to Tensorflow, ONNX, Caffe, PyTorch. Implementation by Python + OpenVINO/Tensorflow Lite.

Tensorflow implementation : U-net and FCN with global convolution

Using Deep Autoencoders for predictions of movie ratings.