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

This repo includes the source code of the fully convolutional depth denoising model presented in https://arxiv.org/pdf/1909.01193.pdf (ICCV19)

Convert darknet weights to caffemodel

PyTorch implementation of Soft Actor-Critic + Autoencoder(SAC+AE)

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

PyTorch implementation of DEC (Deep Embedding Clustering)

Official PyTorch implementation of the paper "Self-Supervised Relational Reasoning for Representation Learning", NeurIPS 2020 Spotlight.

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

[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-guided therapy

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

Caffe models (including classification, detection and segmentation) and deploy files for famouse networks

Autoencoders in Keras

Add-on package for ONNX format support in Chainer

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

Implementation of Grounding of Textual Phrases in Images by Reconstruction in Tensorflow

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

Self-Supervised Learning Toolbox and Benchmark

SeqFace : Making full use of sequence information for face recognition

TensorRT Net Wrapper

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

Some tools and examples for pyCaffe including LMDB I/O, custom Python layers and monitoring training error and loss.

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

MARTA GANs: Unsupervised Representation Learning for Remote Sensing Image Classification

Reimplementation ResNet on cifar10 with caffe

Use unsupervised and supervised learning to predict stocks

train resnet on imagenet from scratch with caffe

📜 Self-Supervised Learning from Images: Up-to-date reading list.

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

Transform the caffe model to pytorch model for Temporal Segment Network

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.

A PyTorch Implementation of "SINE: Scalable Incomplete Network Embedding" (ICDM 2018).

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

PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume, CVPR 2018 (Oral)

📹 一个短视频APP视频内容安全审核的思路调研及实现汇总

MobilNet-SSD object detection in opencv 3.4.1

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

Python codes in Machine Learning, NLP, Deep Learning and Reinforcement Learning with Keras and Theano

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

Unsupervised Attributed Multiplex Network Embedding (AAAI 2020)

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

A collection of Audio and Speech pre-trained models.

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

Tensorflow implementation : U-net and FCN with global convolution

The hybrid model combining stacked denoising autoencoder with matrix factorization is applied, to predict the customer purchase behavior in the future month according to the purchase history and user information in the Santander dataset.

AI智能审查，支持色情识别、暴恐识别、语言识别、敏感文字检测和视频检测等功能，以及各种OCR识别能力，如身份证、驾照、行驶证、营业执照、银行卡、手写体、车牌和名片识别等功能，可以访问网站体验功能。

FeatherCNN is a high performance inference engine for convolutional neural networks.

Using Deep Autoencoders for predictions of movie ratings.

TensorFlow implementation of Deep Graph Infomax

Composable GAN framework with api and user interface

DDFlow: Learning Optical Flow with Unlabeled Data Distillation

Caffe to VHDL

several basic neural networks[mlp, autoencoder, CNNs, recurrentNN, recursiveNN] implements under several NN frameworks[ tensorflow, pytorch, theano, keras]

[CVPR19] DeepCO3: Deep Instance Co-segmentation by Co-peak Search and Co-saliency (Oral paper)

Bayesian Coherent Point Drift (BCPD/BCPD++); Source Code Available

YOLO V2 & V3 , YOLO Combined with RCNN and MaskRCNN

An online GUI tool used to visualize prototxt and generate prototxt for caffe(current version).

Active Convolution