558 Open source projects that are alternatives of or similar to Deeplog

Deep Learning over PyTorch

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A Pytorch Implementation of "Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in vitro"(ICCV17)

Pytorch Implementation of: "Exploring Randomly Wired Neural Networks for Image Recognition"

Deep Kernel Learning. Gaussian Process Regression where the input is a neural network mapping of x that maximizes the marginal likelihood

A very fast neural network computing framework optimized for mobile platforms.QQ group: 676883532 【验证信息输：绝影】

ICface: Interpretable and Controllable Face Reenactment Using GANs

Unofficial PyTorch implementation of "FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence"

Code for Universal Semi-Supervised Semantic Segmentation models paper accepted in ICCV 2019

Real-Time Video Segmentation on Mobile Devices with DeepLab V3+, MobileNet V2. Worked on the project in 🏝 Jeju island

Deep-learning model presented in "DataStories at SemEval-2017 Task 4: Deep LSTM with Attention for Message-level and Topic-based Sentiment Analysis".

Contains the thorough experiments made for a FloydHub article on Anomaly Detection

Repository for the Explainable Deep One-Class Classification paper

Thio - a playground for real-time anomaly detection

A Graphical user Interface for deep learning and computer vision over Monk Libraries

Deep Sort algorithm C++ version

An implement of google deep dream with tensorflow

Multi-Scale Context Aggregation by Dilated Convolutions in Keras.

深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.

SyntheticSun is a defense-in-depth security automation and monitoring framework which utilizes threat intelligence, machine learning, managed AWS security services and, serverless technologies to continuously prevent, detect and respond to threats.

Training & Quantization of embedded friendly Deep Learning / Machine Learning / Computer Vision models

A thesis submitted for the degree of Master of Science in Computer Networks and Security

All Convolutional Network: (https://arxiv.org/abs/1412.6806#) implementation in Keras

(Python, R, C++) Explainable outlier/anomaly detection through decision tree conditioning

This is a times series anomaly detection algorithm, implemented in Python, for catching multiple anomalies. It uses a moving average with an extreme student deviate (ESD) test to detect anomalous points.

Useful Toolbox for Anomaly Detection

MotionSense Dataset for Human Activity and Attribute Recognition ( time-series data generated by smartphone's sensors: accelerometer and gyroscope)

High-performance time series algorithms for Ruby

建立你的算法地图：如何高效学习算法；算法工程师：从小白到专家

使用极端值理论(Extreme Value Theory)实现阈值动态自动化设置

Deep Learning sample programs using PyTorch in C++

Unsupervised Deep Hashing with Similarity-Adaptive and Discrete Optimization (TPAMI2018)

Real-time Detectron using webcam.

Official codes for CVPR2021 paper "MIST: Multiple Instance Self-Training Framework for Video Anomaly Detection"

OpenBot leverages smartphones as brains for low-cost robots. We have designed a small electric vehicle that costs about $50 and serves as a robot body. Our software stack for Android smartphones supports advanced robotics workloads such as person following and real-time autonomous navigation.

Supplementary material for KDD 2018 workshop "DCSO: Dynamic Combination of Detector Scores for Outlier Ensembles"

[AAAI2020] Cross-Modality Paired-Images Generation for RGB-InfraredPerson Re-Identification

A unified ensemble framework for PyTorch to improve the performance and robustness of your deep learning model.

Generative Probabilistic Novelty Detection with Adversarial Autoencoders

ADRepository: Real-world anomaly detection datasets

Deep learning face detection and recognition, implemented by pytorch. (pytorch实现的人脸检测和人脸识别)

Image Forgery Detection using Deep Learning, implemented in PyTorch.

Open-source framework to detect outliers in Elasticsearch events

Historical OpenStreetMap Objects to Machine Learning Training Samples

DeeplabV2 segmentation in Keras.

Traffic Sign Recognition - Fine tuning VGG16 + GTSRB

Deepfakes Software For All

Research papers on ML for security

The implementation of Relativistic average GAN with Keras

Barrage is an opinionated supervised deep learning tool built on top of TensorFlow 2.x designed to standardize and orchestrate the training and scoring of complicated models.

A curated list of applied machine learning and data science notebooks and libraries across different industries.

Sentiment analysis on tweets using Naive Bayes, SVM, CNN, LSTM, etc.

This is an implementation of Bilinear CNN for fine grained visual recognition using TensorFlow.

ClearML - Auto-Magical Suite of tools to streamline your ML workflow. Experiment Manager, ML-Ops and Data-Management

Go implementation of MIDAS: Microcluster-Based Detector of Anomalies in Edge Streams

Isolation Forest on Spark

KitNET is a lightweight online anomaly detection algorithm, which uses an ensemble of autoencoders.

Log-based Impactful Problem Identification using Machine Learning [FSE'18]

Kibana Alert & Report App for Elasticsearch

由淺入深的深度學習資源 Collection of deep learning materials for everyone