⚡ Automatically decrypt encryptions without knowing the key or cipher, decode encodings, and crack hashes ⚡
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Updated
Mar 26, 2024 - Python
Deep neural networks (DNNs) are a class of artificial neural networks (ANNs) that are deep in the sense that they have many layers of hidden units between the input and output layers. Deep neural networks are a type of deep learning, which is a type of machine learning. Deep neural networks are used in a variety of applications, including speech recognition, computer vision, and natural language processing. Deep neural networks are used in a variety of applications, including speech recognition, computer vision, and natural language processing.
⚡ 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.
DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA sequencing data.
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]
A Pytorch implementation of "Splitter: Learning Node Representations that Capture Multiple Social Contexts" (WWW 2019).
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。
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
Generate midi file with 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
Pytorch implementation of BionoiNet, which is a deep learning-based software to classify ligand-binding sites.
PyTorch library for synthesizing programs from natural language
Neural recommender system implementation in TensorFlow.
TensorFlow Guide
[BMVC'23 Oral] Offical repository of "Rethinking Transfer Learning for Medical Image Classification"
Computers & Security