⚡ Automatically decrypt encryptions without knowing the key or cipher, decode encodings, and crack hashes ⚡
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Updated
Mar 5, 2025 - 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.
(⌐■_■) - 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.
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
Automatically decrypt encryptions without knowing the key or cipher, decode encodings, and crack hashes.
Experiments with distributionally robust optimization (DRO) for deep neural networks
Generate midi file with deep neural network 🎶
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.
Computers & Security
TensorFlow Guide
PyTorch library for synthesizing programs from natural language