π Node [[machine learning]] exact match
π machine learning.md contributed by π€ @flancian οΈπ βοΈ
machine learning
-
a [[field]]
- of [[study]]
-
[[go]] https://en.wikipedia.org/wiki/Machine_learning
- "computer algorithms that can improve automatically through experience and by the use of data"
π machine-learning.md contributed by π€ @neil οΈπ βοΈ
machine learning
π posts/machine-learning.md contributed by π€ @flancia.org βοΈ π€
π pages/machine-learning.org contributed by π€ @jakeisnt
Tools for learning machine learning. Obviously, this will expand into many files once I've developed more knowledge.
Papers
https://github.com/NathanUA/U-2-Net salient object detection https://github.com/pliang279/awesome-multimodal-ml reading about multimodal ml
Tutorials
https://github.com/fzenke/spytorch gradient learning for spiking neural networks
Utilities
https://github.com/joseph-zhong/LipReading yes https://github.com/RasaHQ/rasa ml framework for automating text conversations
ETC
The case for sparsity in neural networks, Part 1: Pruning tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API https://stites.io/ — great writing on neural networks Darknet: Open Source Neural Networks in C A Recipe for Training Neural Networks Towards understanding glasses with graph neural networks | DeepMind Neural networks and deep learning https://machinelearningmastery.com/learn-add-numbers-seq2seq-recurrent-neural-networks/ https://www.reddit.com/r/MachineLearning/comments/6l2esd/d_why_cant_you_guys_comment_your_fucking_code/ Meet The Stanford AI Lab Alums That Raised $15 Million To Optimize Machine Learning [P] I trained a GAN to generate photorealistic fake penises - MachineLearni h2oai/h2o-3: Open Source Fast Scalable Machine Learning Platform For Smarte https://www.forbes.com/sites/igorbosilkovski/2020/07/14/meet-the-stanford-ai-lab-alums-that-raised-15-million-to-optimize-machine-learning/amp/?__twitter_impression=true book by rahul khanna gpt 3 https://www.reddit.com/r/MachineLearning/comments/i1aafb/p_i_trained_a_gan_to_generate_photorealistic_fake/ fun with generating gans http://blog.ezyang.com/2013/01/nlp-the-missing-framework/ https://minimaxir.com/2019/09/howto-gpt2/ — fun gpt 2 training time https://ezyang.github.io/convolution-visualizer/index.html https://www.reddit.com/r/MachineLearning/comments/gc834u/d_programming_language_choices_in_ai_nlp_and https://www.reddit.com/r/compsci/comments/g1eivp/from_cvpr_2020_turn_any_picture_to_a_3d_photo/ https://github.com/tokee/juxta https://www.reddit.com/r/compsci/comments/g8circ/a_repository_of_graph_classification_research/ https://arxiv.org/abs/2004.14545 https://arxiv.org/abs/2004.10934/
intels introductory ml course simple ml mindsweeper stream accel framework https://en.wikipedia.org/wiki/Discrete_cosine_transform signal processing: the discrete cosine transformation https://en.wikipedia.org/wiki/Discrete_cosine_transform data compression with fourier methods https://julialang.org/blog/2017/12/ml-pl/# https://www.youtube.com/watch?v=hx7kvTZLHYI https://www.youtube.com/watch?v=HgDdaMy8KNE whaaaat https://minimaxir.com/2019/09/howto-gpt2/ — make text with gpt2! ml with cool functional languages https://www.youtube.com/watch?v=Jr9sptoLvJU&app=desktop
natural language processing
https://www.reddit.com/r/compsci/comments/g1y5af/cmu_deepmind_googles_xtreme_benchmarks/ http://brainstormingbox.org/what-do-you-think-about-natural-language-processing/
https://blog.benwiener.com/programming/2019/04/29/reinventing-the-wheel.html discovering optimal rolling shape in pytorch! https://minimaxir.com/2020/01/twitter-gpt2-bot/ https://github.com/alimir1/ml/blob/master/index.md framework for learning machine learning and self studying
GPT
A robust Python tool for text-based AI training and generation using GPT-2. Sharif Shameem on Twitter: "This is mind blowing. With GPT-3, I built a lay GPT-3 Creative Fiction Β· Gwern.net Giving GPT-3 a Turing Test A browser extension that displays the GPT-2 Log Probability of selected text Sharif Shameem on Twitter: "This is mind blowing. With GPT-3, I built a lay
AI
Reddit - AIDungeon - Using the Dragon Module, I just generated what is hand AI Dungeon: Dragon Model Upgrade. You can now play AI Dungeon with one ofβ¦
GAN
Making Anime Faces With StyleGAN Β· Gwern.net "TensorFlow Distributed Image Serving - A lightweight, RESTful remote inference library for decoupling deep learning development and deployment. Example usage cases with CycleGAN and Faster R-CNN. Includes tutorial ipynbs."
https://reddit.com/r/MachineLearning/comments/huyp4d/n_the_lisbon_ml_school_starts_tomorrow_talks_will https://www.reddit.com/r/learnmachinelearning/comments/hxxtik/ai_application_python_implementation_of_proximal/ https://www.reddit.com/r/magicTCG/comments/ht0o1f/oc_lands_painted_by_an_artificial_intelligence/ https://github.com/evhub/minecraft-deep-learning https://github.com/jasonmayes/Real-Time-Person-Removal https://github.com/facebookresearch/Hanabi_SPARTA https://github.com/OpenMined/PySyft https://github.com/koursaros-ai/nboost an automatic paper generator
https://github.com/evvo-labs/evvo distributed evolutionary algorithms nlp transformer model https://github.com/una-dinosauria/human-motion-prediction human motion prediction https://github.com/KartikChugh/Otto
End-to-End Object Detection with Transformers https://github.com/HumanCompatibleAI/evaluating-rewards https://github.com/paruby/snake-face Web Design semi-supervised learning architecture https://github.com/facebookresearch/dlrm deep learning recommendation model https://github.com/chiphuyen/machine-learning-systems-design machine learning systems design Neural Style Transfer for Fluids
discovering optimal rolling shape in pytorch!
openai langauge model used for code generation https://github.com/semi-technologies/weaviate vector search engine for scaling ml models
discriminator style transfer face averaging
eeg experiments in python and jupyter notebooks role2vec OpenAI Gym 'Lego style' pytorch deep learning model for CNNs latent adversarial generation of high resolution images gpt-3 open source driver assistance system, openpilot muzero paper gan work h2oai/h2o-3 Understanding LSTM Networks Artificial Intellgence Engines CS 330 Deep Multi-Task and Meta Learning mdroste/stata-pylearn: Supervised learning algorithms in Stata
Full Stack Deep Learning - Full Stack Deep Learning
Understanding LSTM Networks — colah's blog jantic/DeOldify: A Deep Learning based project for colorizing and restoring https://openai.com/blog/image-gpt/ https://raw.githubusercontent.com/jethrokuan/braindump/master/org/actor_critic.org [actor-critic methods]]
EPR: The Strange Paradox of Distance and Observation | qnkxsovc Blog Explanation: Convolutions on Feature Maps With Multiple Channels | qnkxsovc Word2Vec Part 2: Color Vectors | qnkxsovc Blog Word Vectors, From the Ground Up | qnkxsovc Blog
Following learnopengl.com but my triangles being culled weirdly. Code in comments https://blogs.nvidia.com/blog/2020/05/22/gamegan-research-pacman-anniversary/ https://people.cs.umass.edu/~arjun/main/home/ https://jelv.is/
https://www.aquicarattino.com/blog/how-write-programming-book/
Full Stack Deep Learning boltzmann machine: recurrent neural networking neural networ chess engine https://github.com/alec-tschantz/predcoding predictive coding Programming Languages improving connectonomics https://news.ycombinator.com/item?id=23032243 openai jukebox: generative music styles<a href="/raw/garden/jakeisnt/file:music.org][Music"><img class="image-embed" src="/raw/garden/jakeisnt/file:music.org][Music"></img><p class="obsidian-embed"></a>β₯ Musiclt;/p> autoaugment: learning augmentation policices from data statistical distances and gan training
PyTorch Implementation of Differentiable SDE Solvers Experimenting with Remembrance Agents Emacs
Amortized Population Gibbs Samplers with Neural Sufficient Statistics https://www.reddit.com/r/artificial/comments/gxrnhq/d_paper_explained_synthetic_petri_dish_a_novel/ https://towardsdatascience.com/the-unreasonable-ineffectiveness-of-deep-learning-on-tabular-data-fd784ea29c33 https://www.indexventures.com/perspectives/rebirth-robotics-how-covariant-unlocks-power-deep-learning-robots/ https://codeplay.com/ https://remis.io/ https://keras.io/examples/audio/speaker_recognition_using_cnn/ https://twitter.com/fchollet/status/1280733141980680193 <button class="pull-tweet" value=https://twitter.com/fchollet/status/1280733141980680193>pull</button> theriley106/isMask.py: Realtime Face Mask Detection in ~10 lines of Python Code
https://github.com/worldmodels/worldmodels.github.io models of the world?
self taught machine learning study group and cirriculum
https://www.nature.com/articles/nature14539 deep learning retro paper https://jkjung-avt.github.io/tensorrt-yolov4/ https://openai.com/blog/image-gpt/
https://oops.cs.columbia.edu/ predicting unintentional action in video
https://yunzhuli.github.io/V-CDN/ causal discovery in systems from videos https://www.apaperaday.com/ a deep learning paper eery day https://news.ycombinator.com/item?id=24096154
https://news.ycombinator.com/item?id=24042150 idk what this is but it s https://github.com/vt-vl-lab/3d-photo-inpainting
π Artificial Intelligence/Introduction to AI/Week 2 - Introduction/Machine Learning.md contributed by π€ @KGBicheno
Machine Learning
Go to [[Week 2 - Introduction]] or back to the [[Main AI Page]]
**Machine Learning, a subset of AI, uses computer algorithms to analyze data and make intelligent decisions based on what it has learned. **
Uses models not rules.
A solid reference I’ve used heavily is Models for machine learning from the IBM developer blog.
Statistical Algorithms
Machine Learning Models
The three types of machine learning
π machine learning.md contributed by π€ @an_agora@twitter.com
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