Search Results for "core"
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5 projects for "core" with 2 filters applied:
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Atera all-in-one platform IT management software with AI agentsAtera’s AI agents don’t just assist, they act. From detection to resolution, they handle incidents and requests instantly, taking your IT management from automated to autonomous.
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Kognition Smart Building SoftwareIts multi-patented enterprise software utilizes artificial intelligence to integrate and orchestrate new and existing security cameras, access control systems and IoT sensors into a dynamic, real-time alerting and analytics platform for smart buildings. Kognition’s easy-to-use user interface transforms surveillance video and IoT data into actionable intelligence to prevent hacking, espionage, theft, the spread of diseases, active shooters, and other high impact dangers. A growing list of Fortune 500 customers rely on Kognition’s products & services everyday to enhance and automate security and safety in their buildings.
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Deep-Learning-Interview-Book
Interview guide for machine learning, mathematics, and deep learning
Deep-Learning-Interview-Book collects structured notes, Q&A, and concept summaries tailored to deep-learning interviews, turning scattered study into a coherent playbook. It spans the core math (linear algebra, probability, optimization) and the practitioner topics candidates actually face, like CNNs, RNNs/Transformers, attention, regularization, and training tricks. Explanations emphasize intuition first, then key formulas and common pitfalls, so you can reason through unseen questions rather than memorize trivia. ... -
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Deeplearning.ai
Study notes, summaries, and auxiliary materials for deep learning
Deeplearning.ai collects study notes, summaries, and auxiliary materials aligned with the popular deep learning course series many learners take early in their AI journey. It distills core ideas such as optimization, regularization, convolutional networks, sequence models, and practical training tricks. The explanations aim to bridge theory and practice, often connecting mathematical intuition to code-level implications. By organizing the content as “books” or structured notes, it gives students a consistent reference to revisit as models and tooling evolve. ... -
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Deep Learning Papers Reading Roadmap
Deep Learning papers reading roadmap for anyone who are eager to learn
Deep Learning Papers Reading Roadmap is a widely known curated reading plan for deep learning that helps newcomers and practitioners navigate the vast literature in a structured and intentional way. It is built around several guiding principles: moving from outline to detail, from older foundational papers to state-of-the-art work, and from generic to more specialized areas while keeping a focus on impactful contributions. The roadmap organizes papers into categories such as fundamentals,... -
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deep-q-learning
Minimal Deep Q Learning (DQN & DDQN) implementations in Keras
The deep-q-learning repository authored by keon provides a Python-based implementation of the Deep Q-Learning algorithm — a cornerstone method in reinforcement learning. It implements the core logic needed to train an agent using Q-learning with neural networks (i.e. approximating Q-values via deep nets), setting up environment interaction loops, experience replay, network updates, and policy behavior. For learners and researchers interested in reinforcement learning, this repo offers a concrete, runnable example bridging theory and practice: you can execute the code, play with hyperparameters, observe convergence behavior, and see how deep Q-learning learns policies over time in standard environments. ... -
ATF Compliance Made Simple. Guaranteed.Since 2010, FastBound Firearms Compliance Software has processed hundreds of millions of serial numbers for thousands of Federal Firearms Licensees (FFLs). FastBound comes with an attorney-backed ATF compliance guarantee. You won't find this anywhere else. FastBound Plans start at $8/mo with no contracts, upgrade, downgrade or cancel any time. Try FastBound free for 14 days and see for yourself why FastBound is the leader in Firearms Compliance Software. FastBound transforms any computer, tablet, or even the buyer’s smartphone into a compliant 4473 with digital signature support with no transaction fees or special hardware requirements. FastBound offers a robust API and syncs effortlessly with a growing list of point of sale (POS), enterprise resource planning (ERP), and other software packages. Only FastBound gives you the peace of mind to prosper backed by a guaranteed legal defense related to the use of our software. Nobody else offers this!
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LearningToCompare_FSL
Learning to Compare: Relation Network for Few-Shot Learning
LearningToCompare_FSL is a PyTorch implementation of the “Learning to Compare: Relation Network for Few-Shot Learning” paper, focusing on the few-shot learning experiments described in that work. The core idea implemented here is the relation network, which learns to compare pairs of feature embeddings and output relation scores that indicate whether two images belong to the same class, enabling classification from only a handful of labeled examples. The repository provides training and evaluation code for standard few-shot benchmarks such as miniImageNet and Omniglot, making it possible to reproduce the experimental results reported in the paper. ...
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