tailscale/tailscale: The easiest, most secure way to use WireGuard and 2FA.
The easiest, most secure way to use WireGuard and 2FA. - tailscale/tailscale
self-hostOISF/suricata: Suricata is a network Intrusion Detection System, Intrusion Prevention System and Network Security Monitoring engine developed by the OISF and the Suricata community.
Suricata is a network Intrusion Detection System, Intrusion Prevention System and Network Security Monitoring engine developed by the OISF and the Suricata community. - OISF/suricata
securityrasbt/python-machine-learning-book-2nd-edition: The "Python Machine Learning (2nd edition)" book code repository and info resource
The "Python Machine Learning (2nd edition)" book code repository and info resource - rasbt/python-machine-learning-book-2nd-edition
neural networks#github#repositories#guides#neural#networks#AI/ML#deep#learning#data#science#scikit-learn#tensorflowkailashahirwar/cheatsheets-ai: Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essential-cheat-sheets-for-machine-learning-and-deep-learning-researchers-efb6a8ebd2e5
Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essential-cheat-sheets-for-machine-learning-and-deep-learning-researchers-efb6a8ebd2e5 -...
neural networks#github#repositories#AI/ML#cheatsheets#deep#learning#R&D#numpy#keras#matplotlib#scipy#neural#networkspyg-team/pytorch_geometric: Graph Neural Network Library for PyTorch
Graph Neural Network Library for PyTorch. Contribute to pyg-team/pytorch_geometric development by creating an account on GitHub.
pip#github#repositories#dependencies#pip#python#graph#neural#networks#libraries#pytorch#geometric#deep#learning#AI/MLBrainJS/brain.js: 🤖 GPU accelerated Neural networks in JavaScript for Browsers and Node.js
🤖 GPU accelerated Neural networks in JavaScript for Browsers and Node.js - BrainJS/brain.js
NPMageron/handson-ml3: A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2. - ageron/handson-ml3
neural networks#github#repositories#guides#AI/ML#notebooks#tensorflow#scikit-learn#keras#deep#learning#neural#networkslmoroney/dlaicourse: Notebooks for learning deep learning
Notebooks for learning deep learning. Contribute to lmoroney/dlaicourse development by creating an account on GitHub.
louisfb01/best_AI_papers_2021: A curated list of the latest breakthroughs in AI (in 2021) by release date with a clear video explanation, link to a more in-depth article, and code.
A curated list of the latest breakthroughs in AI (in 2021) by release date with a clear video explanation, link to a more in-depth article, and code. - louisfb01/best_AI_papers_2021
neural networks#github#repositories#guides#AI/ML#papers#awesome#R&D#deep#learning#computer#vision#neural#networksnlpodyssey/spago: Self-contained Machine Learning and Natural Language Processing library in Go
Self-contained Machine Learning and Natural Language Processing library in Go - nlpodyssey/spago
pkg.go#github#repositories#dependencies#golang#pkg#AI/ML#NLP#deep#learning#neural#networks#architecturespatrick-kidger/equinox: Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/
Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/ - patrick-kidger/equinox
tensorflow/tensorflow: An Open Source Machine Learning Framework for Everyone
An Open Source Machine Learning Framework for Everyone - tensorflow/tensorflow
ZuzooVn/machine-learning-for-software-engineers: A complete daily plan for studying to become a machine learning engineer.
A complete daily plan for studying to become a machine learning engineer. - ZuzooVn/machine-learning-for-software-engineers
d2l-ai/d2l-en: Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge. - d2l-ai/d2l-en
neural networks#github#repositories#guides#deep#learning#frameworks#math#AI/ML#data#science#NLP#computer#vision#reinforcement#pytorch#books#neural#networkstensorflow/playground: Play with neural networks!
Play with neural networks! Contribute to tensorflow/playground development by creating an account on GitHub.
pytorch/pytorch: Tensors and Dynamic neural networks in Python with strong GPU acceleration
Tensors and Dynamic neural networks in Python with strong GPU acceleration - pytorch/pytorch
keras-team/keras: Deep Learning for humans
Deep Learning for humans. Contribute to keras-team/keras development by creating an account on GitHub.
pip#github#repositories#dependencies#pip#AI/ML#deep#learning#frameworks#data#science#tensorflow#pytorch#neural#networksaymericdamien/TensorFlow-Examples: TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2) - aymericdamien/TensorFlow-Examples
Avik-Jain/100-Days-Of-ML-Code: 100 Days of ML Coding
100 Days of ML Coding. Contribute to Avik-Jain/100-Days-Of-ML-Code development by creating an account on GitHub.
neural networks#github#repositories#guides#AI/ML#deep#learning#linear-regression#linear-algebra#scikit-learn#DSA#neural#networksGokuMohandas/Made-With-ML: Learn how to design, develop, deploy and iterate on production-grade ML applications.
Learn how to design, develop, deploy and iterate on production-grade ML applications. - GokuMohandas/Made-With-ML
neural networks#github#repositories#guides#AI/ML#production#data#science#NLP#deep#learning#LLM#neural#networksterryum/awesome-deep-learning-papers: The most cited deep learning papers
The most cited deep learning papers. Contribute to terryum/awesome-deep-learning-papers development by creating an account on GitHub.
yunjey/pytorch-tutorial: PyTorch Tutorial for Deep Learning Researchers
PyTorch Tutorial for Deep Learning Researchers. Contribute to yunjey/pytorch-tutorial development by creating an account on GitHub.
explosion/spaCy: 💫 Industrial-strength Natural Language Processing (NLP) in Python
💫 Industrial-strength Natural Language Processing (NLP) in Python - explosion/spaCy
pip#github#repositories#dependencies#pip#python#AI/ML#libraries#NLP#cython#data#science#neural#networksdonnemartin/data-science-ipython-notebooks: Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials,...
neural networks#github#repositories#guides#data#science#python#notebooks#deep#learning#tensorflow#AI/ML#caffe#theano#spark#hadoop#numpy#scikit-learn#AWS#neural#networkspjreddie/darknet: Convolutional Neural Networks
Convolutional Neural Networks. Contribute to pjreddie/darknet development by creating an account on GitHub.
frameworksgoogle/deepdream
Contribute to google/deepdream development by creating an account on GitHub.
endymecy/awesome-deeplearning-resources: Deep Learning and deep reinforcement learning research papers and some codes
Deep Learning and deep reinforcement learning research papers and some codes - endymecy/awesome-deeplearning-resources
neural networks#github#repositories#guides#AI/ML#deep#learning#papers#reinforcement#NLP#neural#networks#R&DChristosChristofidis/awesome-deep-learning: A curated list of awesome Deep Learning tutorials, projects and communities.
A curated list of awesome Deep Learning tutorials, projects and communities. - ChristosChristofidis/awesome-deep-learning
tracel-ai/burn: Burn is a new comprehensive dynamic Deep Learning Framework built using Rust with extreme flexibility, compute efficiency and portability as its primary goals.
Burn is a new comprehensive dynamic Deep Learning Framework built using Rust with extreme flexibility, compute efficiency and portability as its primary goals. - tracel-ai/burn
crates#github#repositories#dependencies#crates#AI/ML#deep#learning#frameworks#neural#networks#wasm#LLM#pytorch#tensorflow