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Peka's Projects

ai-resources icon ai-resources

A collection of interesting papers, courses, blogs, videos and other resources related to Machine Learning and Cognitive Systems in general.

artificial-intelligence-deep-learning-machine-learning-tutorials icon artificial-intelligence-deep-learning-machine-learning-tutorials

A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Climate / Energy, Automotives, Retail, Pharma, Medicine, Healthcare, Policy, Ethics and more.

awesome icon awesome

😎 Awesome lists about all kinds of interesting topics

awesome-ai icon awesome-ai

A curated list of artificial intelligence resources (Courses, Tools, App, Open Source Project)

awesome-ai-ml-dl icon awesome-ai-ml-dl

Awesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it. Study notes and a curated list of awesome resources of such topics.

awesome-blockchain icon awesome-blockchain

⚑️Curated list of resources for the development and applications of blockchain.

awesome-python icon awesome-python

A curated list of awesome Python frameworks, libraries, software and resources

books icon books

A List Of Programming Books

clone-wars icon clone-wars

100+ open-source clones of popular sites like Airbnb, Amazon, Instagram, Netflix, Tiktok, Spotify, Whatsapp, Youtube etc. See source code, demo links, tech stack, github stars.

clrs icon clrs

C++ implementation of CLRS example codes and exercise for studying purpose. Non-coding involved exercises will not be shared.

computer-science icon computer-science

:mortar_board: Path to a free self-taught education in Computer Science!

coursera-deep-learning-specialization icon coursera-deep-learning-specialization

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models

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