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LearnOpenCV – OpenCV, PyTorch, Keras, Tensorflow examples and tutorials
The Intel-OpenVINO Toolkit provides many great functionalities for Deep-Learning model optimization, inference and deployment. Perhaps the most interesting and practical tool among them is the Deep-Learning (DL) workbench. Not only does model optimization, calibration, and quantization get easier, but the OpenVINO-Deep Learning Workbench also makes the final model deployment-ready in a matter of minutes. This […]
Author: Sovit Rath Aditya Sharma
EmbeDL | Efficient Deep Learning
Efficient Deep Learning by Deep Learning model optimization
Author: Elaheh Malekzadeh
murk | a c++ hacking toolkit
a c++ hacking toolkit
PerceptiLabs
Build deep learning models in minutes.
Author: Bill Wright Head; ML; Intelligent Edge; Red Hat
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Author: Guybrush
Welcome to Tensor’s documentation! — Tensor 0.0.6 documentation
Welcome to BitClust’s documentation — BitClust 0.0.6 documentation
Welcome to SparklingGraph’s documentation! — SparklingGraph 0.0.6 documentation
SparklingGraph is an library that extends Apache GraphX funcionalities. It gives ability to easly load, process, analyse and experiment on large graphs using Spark infrastructure.
EMA Workbench documentation — Exploratory Modeling Workbench
A python library for exploratory modeling and analysis for supporting model based decision making under deep uncertainty
MLChain Documentation
MLChain is a zero setup Deep Learning platform for productive data science teams.
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Ethical Hackers Club - Hacking and **** Testing
An ethical hacker's blog. Learn ethical hacking, **** testing, digital forensics and deep web.
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Contents — finance_calculator 0.0.6 documentation
Welcome to resistics — resistics 0.0.6 documentation
resistics, a Python 3 magnetotelluric processing package
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Guild AI is an open source experiment tracking toolkit. Use it to build better machine learning models faster.
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Documentation for Keras-RL, a library for Deep Reinforcement Learning with Keras.
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chitra
A multi-functional library for full-stack Deep Learning. Simplifies Model Building, API development, and Model Deployment.
Ludwig
Ludwig is a toolbox for training and testing deep learning models without writing code
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Deploy AI/ML in production at scale on Kubernetes - AutoDeployAI
Deploy and manage machine learning, deep learning, algorithm models in production: PMML, ONNX, Python models, Scikit-learn, XGBoost, LightGBM, Spark, TensorFlow, Keras, Pytorch, MXNet
Home - DART Documentation
Dynamic Animation and Robotics Toolkit
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Alfi is an Ai enterprise SaaS platform powered by computer vision with machine learning models, deep learning and edge computing.
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Automated Document Process AI-OCR. Robotic process automation. Deep learning OCR, handwriting recognition, workflow automation, DX.
INMOST
INMOST : A toolkit for distributed mathematical modeling
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StackLabs is a platform for Building, Training and Visualizing Deep learning and AI Models with Big Data Analytics
Predictive Analytics using Machine Learning by Kathryn Durham
A scientific and intuitive approach to prediction using innovative modeling including Machine/Deep Learning
💻 | Blog
Hacking to learn, while learning to hack.
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GPU-enabled Deep Learning Model Training and Hyperparameter Tuning Made Easy. Save over 90% over SageMaker
Error Analysis
A toolkit to help analyze and improve model accuracy.
Marcelle
An Interactive Machine Learning Toolkit
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An open source toolkit for analyzing models and explaining behavior
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ModelZoo curates and provides a platform for deep learning researchers to easily find code and pre-trained models for a variety of platforms and uses. Find models that you need, for educational purposes, transfer learning, or other uses.
RHA Blog
Learn how to Ethically hack, Learn what it takes for a hacker to hack!
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The world's best deep learning teams use V7's tools to create high-performing computer vision models.
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Hacks
Simple hacks, tricks to hacking by experts. Learn hacking easily and learn more on information security, ethics, system hacking, network security and many more.
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What else darkon.io alternative websites
Learn all kind of hacking: Blackhatrussia.com at StatsCrop
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Modelling and simulation toolkits and services for space, aeronautics and energy applications.
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Edustats Solutions
Risk Simulator, Modeling Toolkit and Real Options Analytical Expert
Deeply Thought
A not-so-deep Deep Learning & Machine Learning blog.
Author: Wojciech Rosinski
Automated human-like text to speech ~ Voicepods
Voicepods is an easy to use service that can convert your content into realistic voice using state of the art deep learning models.
Decentralize AI - Train. Optimize. Deploy. | EDGENeural.ai
Accelerate AI adoption on Edge. End-to-end platform for AI developers to train, optimize, and deploy deep learning models on any hardware, in a matter of hours!
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From awareness to action, Cognitiv+ gives you a better way to understand your documents. Enterprise-ready NLP and Deep Learning platform.
Gym
A toolkit for developing and comparing reinforcement learning algorithms
HR Toolkit: Download 2000+ HR document templates
HR Toolkit comprises of ready-to-use HR Templates for different stages of the HR process. it is a ready to use HR toolkit for Companies.
Kording lab
Causality and Machine learning. Machine Learning and Deep Learning for Neuroscience. Neuroscience for Deep Learn...
Deep Learning Wizard - Deep Learning Wizard
We try to make learning deep learning, deep bayesian learning, and deep reinforcement learning math and code easier. Used by thousands.
Author: Ritchie Ng
Datatap | Data Version Control, deep learning dataset management with pytorch
DataTap is a user-friendly tool to manage large machine learning datasets effortlessly. Load data into deep learning models like PyTorch, Tensorflow or Keras easily.
Lemur Project Home
The Lemur toolkit for language modeling and information retrieval is documented and made available for download.
ciberseguridad.link
Noticias sobre Ciberseguridad, Ciberamenazas, Criptomonedas, Hacking, Malware, Deep Web, etc.
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Hack to learn
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Thinc · A refreshing functional take on deep learning
Thinc is a lightweight type-checked deep learning library for composing models, with support for layers defined in frameworks like PyTorch and TensorFlow.
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SBX Robotics - Synthetic data for robot vision
Train deep learning computer vision models using simulated data - remove data as a blocker and focus on building your vision system.
Home - Lodestar
Lodestar Navigator is the best deep learning platform for no-code video labeling and computer vision model training. Get results in an hour.
Andrew King | Creative Artificial Intelligence
Andrew King is a machine learning and computer vision scientist. He holds a master’s degree in Artificial Intelligence from the University of Georgia. His research focuses on deep learning models for semantic segmentation.
SoftPak
Growth hack your portfolios Introducing Universal Rebalancer Learn More Scroll Down The most powerful rebalancer on the market. Extensive Modeling With our powerful modeling tool, you can create, edit and maintain your models or import your models in seconds. Security based models Model of models with up to five levels of nesting Attribute based models […]
DeepLearningItalia - Community
The biggest community of Deep Learning All the information to become a Deep Learning expert
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What car is this? Our car identifier, backed by deep learning neural network, could help you identify car models. Simply drop an image, we can tell you what model is that.
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Pay for instances to run your code or rent out your own machines and get paid. Create anything. From Web Crawlers to Deep learning models using GPUs.
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With our AI platform, you can build your own deep learning models and benefit from the smart things with real-world use of artificial intelligence
Distributed Deep Learning and Hyperparameter Tuning Platform | Determined AI
Open source deep learning training platform that enables data scientists to train better models, with built-in hyperparameter tuning and distributed training
Author: Dave Troiano; Angela Jiang
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Kymatio: Wavelet scattering in Python — kymatio 0.2.1 documentation
htmldate: find the publication date of web pages — htmldate 0.9.0 documentation
aiohttp_session — aiohttp_session 2.9.0- documentation
ProxyBroker — ProxyBroker 0.2.0 documentation
python-samplerate — python-samplerate 0.1.0+6.ged73d7a documentation
Welcome to pyattck’s Documentation — pyattck 2.0.0 documentation
Author: Authors ¶ Josh Rickard - Initial work - MSAdministrator See also the list
Impyute — impyute 0.0.8 documentation
Welcome to PYBTC — pybtc documentation
Welcome to aiorobinhood’s documentation! — aiorobinhood 2.1.0 documentation
Flask-IIIF — Flask-IIIF 0.6.1 documentation
More other alternatives for darkon io
Flask-SSO — Flask-SSO 0.4.1.dev20151005 documentation
Welcome to centerline’s documentation! — centerline 0.6.3 documentation
Welcome to Seagull! — Seagull 1.0.0-beta.4 documentation
omxplayer-wrapper — omxplayer-wrapper 0.3.2 documentation
This is onelearn’s documentation — onelearn 0.2.0 documentation
bidict — bidict 0.21.4.dev documentation
PyNPM — PyNPM 0.1.2 documentation
Sumo — sumo 2.2.5 documentation
Welcome to Terracotta — Terracotta 0.7.3.dev13+g9bd5873 documentation
Welcome to aiokafka’s documentation! — aiokafka 0.7.2 documentation
pylivy — pylivy documentation
Arrow: Better dates & times for Python — Arrow 🏹 1.2.0 documentation
Datastore Entity — datastore-entity 0.2.0 documentation
Welcome to openelevationservice’s documentation! — openelevationservice 0.1 documentation
Photontorch — Photontorch 0.1.0 documentation
Flask-CeleryExt — Flask-CeleryExt 0.3.1 documentation
schedule — schedule 1.1.0 documentation
django-scim2 — django-scim2 0.5.2 documentation
Welcome to Drymail’s documentation! — Drymail documentation
Welcome to AIOHTTP — aiohttp 3.7.4.post0 documentation
DeepDiff OLD 4.0.7 documentation! — DeepDiff 4.0.7 documentation
