Linking pages
- GitHub - sindresorhus/awesome: 😎 Awesome lists about all kinds of interesting topics https://github.com/sindresorhus/awesome 69 comments
- GitHub - bayandin/awesome-awesomeness: A curated list of awesome awesomeness https://github.com/bayandin/awesome-awesomeness 66 comments
- GitHub - vinta/awesome-python: A curated list of awesome Python frameworks, libraries, software and resources https://github.com/vinta/awesome-python 38 comments
- GitHub - jnv/lists: The definitive list of lists (of lists) curated on GitHub and elsewhere https://github.com/jnv/lists 28 comments
- GitHub - jbhuang0604/awesome-computer-vision: A curated list of awesome computer vision resources https://github.com/jbhuang0604/awesome-computer-vision 17 comments
- GitHub - zhimin-z/awesome-awesome-artificial-intelligence: A curated list of awesome curated lists of many topics closely related to artificial intelligence. https://github.com/zhimin-z/awesome-awesome-artificial-intelligence 15 comments
- GitHub - kiloreux/awesome-robotics: A list of awesome Robotics resources https://github.com/Kiloreux/awesome-robotics 13 comments
- GitHub - ashishpatel26/500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code: 500 AI Machine learning Deep learning Computer vision NLP Projects with code https://github.com/ashishpatel26/500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code 13 comments
- 100+ Best GitHub Repositories For Machine Learning https://www.theinsaneapp.com/2021/09/best-github-repository-for-machine-learning.html 3 comments
- 4 Steps for Learning Deep Learning | by Vivek Kumar | Medium https://medium.com/@vzkuma/4-steps-for-learning-deep-learning-86f11fcee54#.6nrtkcrn0 2 comments
- GitHub - briatte/awesome-network-analysis: A curated list of awesome network analysis resources. https://github.com/briatte/awesome-network-analysis 1 comment
- GitHub - cuuupid/awesome-lists: A curated list of curated lists. https://github.com/cuuupid/awesome-lists 1 comment
- GitHub - r0f1/datascience: Curated list of Python resources for data science. https://github.com/r0f1/datascience 0 comments
- A short guide to learn neural networks, and get famous and rich then. | by Sergey Enin | Chatbots Life https://chatbotslife.com/a-short-guide-to-learn-neural-networks-and-get-famous-and-rich-then-bf7da3cba76f#.xytus7haq 0 comments
- GitHub - robertsdionne/neural-network-papers https://github.com/robertsdionne/neural-network-papers 0 comments
- GitHub - mbadry1/Top-Deep-Learning: Top 200 deep learning Github repositories sorted by the number of stars. https://github.com/mbadry1/Top-Deep-Learning 0 comments
- GitHub - kelvins/awesome-mlops: A curated list of awesome MLOps tools https://github.com/kelvins/awesome-mlops 0 comments
- Awesome Mobile Machine Learning. A growing list of awesome mobile (and… | by Austin Kodra | Heartbeat https://heartbeat.fritz.ai/awesome-mobile-machine-learning-6dfee1bbaafd 0 comments
- GitHub - ujjwalkarn/Machine-Learning-Tutorials: machine learning and deep learning tutorials, articles and other resources https://github.com/ujjwalkarn/Machine-Learning-Tutorials 0 comments
- GitHub - trackawesomelist/trackawesomelist: Track 500+ Awesome List Updates, Track it - not just star it! https://github.com/trackawesomelist/trackawesomelist 0 comments
Linked pages
- Home Page | MIT CSAIL http://www.csail.mit.edu/ 644 comments
- The Unreasonable Effectiveness of Recurrent Neural Networks https://karpathy.github.io/2015/05/21/rnn-effectiveness/ 434 comments
- Machine Learning | Google for Developers https://developers.google.com/machine-learning/crash-course/ 371 comments
- Creative Commons — CC0 1.0 Universal http://creativecommons.org/publicdomain/zero/1.0/ 305 comments
- Project Jupyter | Home http://jupyter.org 240 comments
- Dive into Deep Learning — Dive into Deep Learning 1.0.3 documentation https://d2l.ai/ 234 comments
- Practical Deep Learning for Coders - Practical Deep Learning https://course.fast.ai 177 comments
- Data Version Control · DVC https://dvc.org/ 175 comments
- GitHub - karpathy/neuraltalk: NeuralTalk is a Python+numpy project for learning Multimodal Recurrent Neural Networks that describe images with sentences. https://github.com/karpathy/neuraltalk 143 comments
- YOLO: Real-Time Object Detection https://pjreddie.com/darknet/yolo/ 127 comments
- http://course.fast.ai/part2.html 115 comments
- GitHub - ZuzooVn/machine-learning-for-software-engineers: A complete daily plan for studying to become a machine learning engineer. https://github.com/ZuzooVn/machine-learning-for-software-engineers/blob/master/README.md 111 comments
- GitHub - nebuly-ai/nebullvm: Plug and play modules to optimize the performances of your AI systems 🚀 https://github.com/nebuly-ai/nebullvm 98 comments
- GitHub - harthur/brain: [UNMAINTAINED] Simple feed-forward neural network in JavaScript https://github.com/harthur/brain 97 comments
- Deep Learning http://www.deeplearningbook.org/ 79 comments
- Deep Learning Specialization [5 courses] (DeepLearning.AI) | Coursera https://www.coursera.org/specializations/deep-learning 73 comments
- Bevor Sie zu YouTube weitergehen https://www.youtube.com/playlist?list=PLoROMvodv4rMiGQp3WXShtMGgzqpfVfbU 69 comments
- GitHub - sindresorhus/awesome: 😎 Awesome lists about all kinds of interesting topics https://github.com/sindresorhus/awesome 69 comments
- Introduction to Virtual Reality | Deep Learning with TensorFlow | Udacity Free Courses https://www.udacity.com/course/deep-learning--ud730 62 comments
- Neural Network Tutorial http://www.ai-junkie.com/ann/evolved/nnt1.html 59 comments