There are 13 repositories under deep-neural-network topic.
A WebGL accelerated JavaScript library for training and deploying ML models.
⚡ Automatically decrypt encryptions without knowing the key or cipher, decode encodings, and crack hashes ⚡
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
(⌐■_■) - Deep Reinforcement Learning instrumenting bettercap for WiFi pwning.
DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA sequencing data.
BigDL: Distributed TensorFlow, Keras and PyTorch on Apache Spark/Flink & Ray
Attempt at tracking states of the arts and recent results (bibliography) on speech recognition.
Text Classification Algorithms: A Survey
A deep neural network that learns to drive in video games
A deep neural network that directly reconstructs the motion of a 3D human skeleton from monocular video [ToG 2020]
Deep and conventional community detection related papers, implementations, datasets, and tools.
Powerful computer vision assisted Lego mosaic creator · Over 1 million images created (so far!)
A Pytorch implementation of "Splitter: Learning Node Representations that Capture Multiple Social Contexts" (WWW 2019).
WB color augmenter improves the accuracy of image classification and image semantic segmentation methods by emulating different WB effects (ICCV 2019) [Python & Matlab].
Open Toolkit for Painless Object Detection
[EXPERIMENTAL] Facebook-like automatic alternative (alt) text for images using object detection with pre-trained model.
Two-stream CNN for gender classification and biometric identification using a dataset of 11K hand images.
Reinforcement learning (RL) implementation of imperfect information game Mahjong using markov decision processes to predict future game states
Dopamine: Differentially Private Federated Learning on Medical Data (AAAI - PPAI)
这个项目将 RAVDESS 数据集切割成 1s 短语音,利用 openSMILE+CNN 进行训练,目标是将短语音分类到四种情感中,分别是:开心(happy)、悲伤(sad)、生气(angry)和中性(neutral)。最后准确率达到 76% 左右。
Build logistic regression, neural network models for classification
A framework for multi-task learning, where you may precondition tasks and compose them into bigger tasks. Conditional objectives and per-task evaluations and interpretations.
An Attention-based Deep Neural Network for Non-Intrusive Load Monitoring
Going beyond BEDMAP2 using a super resolution deep neural network. Also a convenient flat file data repository for high resolution bed elevation datasets around Antarctica.
TensorFlow Serving based on encrypted model, protect model files from being stolen | 基于加密模型的 TensorFlow Serving ,保护模型文件免于被盗取
Semantic information can help CNNs to get better illuminant estimation -- a proof of concept
Sensor-Independent Illumination Estimation for DNN Models (BMVC 2019)
Generate midi file with deep neural network :notes:
Multiclass bearing fault classification using features learned by a deep neural network.
Experiments with distributionally robust optimization (DRO) for deep neural networks
Desktop app, web app and source code for training, testing and using ML-SIM
Deep Convolutional Neural Networks for Raman Spectrum Recognition. (RRUFF dataset)
NeurIPS17: [AttentiveChrome] Attend and Predict: Using Deep Attention Model to Understand Gene Regulation by Selective Attention on Chromatin