Ich habe hier im Jahr 2019 über die 130 Chrome-Tabs geschrieben, die ich geöffnet hatte. Heute habe ich mich entschlossen, diesen Beitrag zu erstellen, um auch alle Tabs zu posten, die ich 2023 geöffnet habe, damit ich sie später hier leichter finden kann, wenn ich wieder Informationen benötige. Darüber hinaus denke ich, dass Sie einige der Websites sehr interessant finden werden.
Self-Driving Cars | Coursera – https://www.coursera.org/specializations/self-driving-cars
Can Apple’s M1 Help You Train Models Faster & Cheaper Than NVIDIA’s V100? | m1-benchmark – Weights & Biases – https://wandb.ai/vanpelt/m1-benchmark/reports/Can-Apple-s-M1-help-you-train-models-faster-cheaper-than-NVIDIA-s-V100—VmlldzozNTkyMzg
Machine Learning: The Great Stagnation – by Mark Saroufim – https://marksaroufim.substack.com/p/machine-learning-the-great-stagnation
Graphcore: Accelerating machine learning in the cloud – https://www.graphcore.ai/
Startups look beyond lidar for autonomous vehicle perception | TechCrunch – https://techcrunch.com/2021/01/16/startups-look-beyond-lidar-for-autonomous-vehicle-perception/
Homepage – Eye-Net Mobile – https://www.eyenet-mobile.com/
Phoenix Neutron Imaging | Neutron Image Gallery – https://www.phoenixneutronimaging.com/insights-and-updates/neutron-image-gallery
You Don’t Really Need Another MOOC – https://eugeneyan.com/writing/you-dont-need-another-mooc/
How We Develop AI for 510(k)-Cleared Devices – https://innolitics.com/articles/machine-learning-development-for-medical-devices/
Provident Vehicle Detection at Night (PVDN) | Kaggle – https://www.kaggle.com/datasets/saralajew/provident-vehicle-detection-at-night-pvdn
A library fit for a king | British Museum – https://www.britishmuseum.org/blog/library-fit-king
Legacy Survey Sky Browser – https://viewer.legacysurvey.org/#NGC%20442
CS193p – Developing Apps for iOS – https://cs193p.sites.stanford.edu/
IEEE Publication Recommender – https://publication-recommender.ieee.org/periodicals
„But How Do I Actually Start?“ Making Games on Your Own as an Engineer | Eyas’s Blog – https://blog.eyas.sh/2021/02/unity-for-engineers-pt11-development-process/
Framework | Framework Laptop 13, now with AMD and Intel options, and – https://frame.work/de/en
Home Page – FPGA Tutorial – https://fpgatutorial.com/
Testing Machine Learning Systems: Code, Data and Models – Made With ML – https://madewithml.com/courses/mlops/testing/
A.I. Triad – https://ai-triad.com/
A.I. Triad Website – JetsonHacks – https://jetsonhacks.com/2021/03/14/a-i-triad-website/
Solar Integration | Sono Motors – https://sonomotors.com/en/solar-integration/
Astro Anarchy: Milky Way, 12 years, 1250 hours of exposures and 125 x 22 degrees of sky THIS IS A PERMANENT POST, NEW POSTS ARE AFTER THIS POST – https://astroanarchy.blogspot.com/2021/03/gigapixel-mosaic-of-milky-way-1250.html
Home – manim documentation – https://3b1b.github.io/manim/index.html
Herbie: Automatically Improving Floating Point Accuracy – https://herbie.uwplse.org/
Modelplace.AI – https://modelplace.ai/
Введение в различные алгоритмы обучения с подкреплением (Q-Learning, SARSA, DQN, DDPG) / Хабр – https://habr.com/ru/articles/561746/
Different types of the convolution layers | Illarion’s Notes – https://ikhlestov.github.io/pages/machine-learning/convolutions-types/
Pepinierele Roman – Pomi fructiferi si material saditor, aclimatizati la noi in tara – https://pepinierele-roman.ro/
Animation Mentor | The Online Animation School – https://www.animationmentor.com/
Optimizing Solar Energy Production with Reinforcement Learning – https://www.jackogrady.me/reinforcement-learning-solar/research-summary
Mechanical Watch – Bartosz Ciechanowski – https://ciechanow.ski/mechanical-watch/
CS193p – Developing Apps for iOS – https://cs193p.sites.stanford.edu/
Planning is For Doing – by Nicholas Broune – https://biggestfish.substack.com/p/planning-is-for-doing?s=r
Techniques for training large neural networks – https://openai.com/research/techniques-for-training-large-neural-networks
From Python to Numpy – https://www.labri.fr/perso/nrougier/from-python-to-numpy/
Write HTML Right – http://lofi.limo/blog/write-html-right
Learn RL online by building game AIs | Delta Academy – https://joindeltaacademy.com/
xDevs.com | Taking decent photographs of electronic hardware and PCBAs – https://xdevs.com/guide/hwphoto/
Introducing Dreamer: Scalable Reinforcement Learning Using World Models – Google AI Blog – https://ai.googleblog.com/2020/03/introducing-dreamer-scalable.html
Dr. R. W. Hamming’s Advice on Research – https://www.cs.utexas.edu/users/dahlin/bookshelf/hamming.html
OffSpec – https://www.offspec.io/
Life Is Not Short | DKB Show – https://dkb.show/post/life-is-not-short
T. Sundara Row’s Geometric exercises in paper folding : Sundara Rao, T. (Tandalam), b. 1853 : Free Download, Borrow, and Streaming : Internet Archive – https://archive.org/details/tsundararowsgeo00rowrich/mode/2up
Exercises in Machine Learning 2206.13446.pdf – https://arxiv.org/pdf/2206.13446.pdf
About this website | LOW←TECH MAGAZINE – https://solar.lowtechmagazine.com/about.html
Jenni AI – https://jenni.ai/pricing
Loom: Async Video Messaging for Work | Loom – https://www.loom.com/
Otter.ai – Voice Meeting Notes & Real-time Transcription – https://otter.ai/
Hardware Recommendations for Machine Learning / AI | Puget Systems – https://www.pugetsystems.com/solutions/scientific-computing-workstations/machine-learning-ai/hardware-recommendations/
Selecting CPU and GPU for a Reinforcement Learning Workstation | Experiences in Deep Learning – https://deeepwin.github.io/experience/hardware/2021/05/11/selecting-cpu-and-gpu.html
How I built a €25K Machine Learning Rig – by Emil Wallner – https://www.emilwallner.com/p/ml-rig
My deep learning rig – Non_Interactive – Software & ML – https://nonint.com/2022/05/30/my-deep-learning-rig/
How to Make Custom ESP32 Board in 3 Hours | Full Tutorial – Welldone Blog – https://welldoneblog.fedevel.com/2022/11/22/how-to-make-custom-esp32-board-in-3-hours-full-tutorial/
So, what is a physics-informed neural network? – Ben Moseley – https://benmoseley.blog/my-research/so-what-is-a-physics-informed-neural-network/
How do transistors work, anyway? – lcamtuf’s thing – https://lcamtuf.substack.com/p/how-do-transistors-work-anyway
Understanding Reinforcement Learning from Human Feedback (RLHF): Part 1 | RLHF – Weights & Biases – https://wandb.ai/ayush-thakur/RLHF/reports/Understanding-Reinforcement-Learning-from-Human-Feedback-RLHF-Part-1–VmlldzoyODk5MTIx
Annotated history of modern AI and deep neural networks – https://people.idsia.ch/~juergen/deep-learning-history.html
What we look for in a resume – https://huyenchip.com/2023/01/24/what-we-look-for-in-a-candidate.html
4 Decades of AI Compute – https://www.laconic.fi/ai-compute/
Welcome to the 🤗 Deep Reinforcement Learning Course – Hugging Face Course – https://huggingface.co/deep-rl-course/unit0/introduction?fw=pt
How to Land a Job in Machine Learning or Data Science – https://www.deeplearning.ai/blog/how-to-land-a-job-in-machine-learning-or-data-science/
EveryMe.ai – Beautiful AI profile pictures – https://www.everyme.co/
Mathematics for Machine Learning and Data Science Specialization – https://www.deeplearning.ai/courses/mathematics-for-machine-learning-and-data-science-specialization/
Pitfalls of Interpretability – Trustworthy AI – https://www.alexmeinke.de/2023/03/24/pitfalls-of-interpretability.html
Teaching – CS 229 – https://stanford.edu/~shervine/teaching/cs-229/
TinyJPG – Compress WebP, PNG and JPEG images intelligently – https://tinyjpg.com/
Nine Tools I Wish I Mastered before My PhD in Machine Learning | by Aliaksei Mikhailiuk | Towards Data Science – https://towardsdatascience.com/nine-tools-i-wish-i-mastered-before-my-phd-in-machine-learning-708c6dcb2fb0
Global Electricity Review 2022 | Ember – https://ember-climate.org/insights/research/global-electricity-review-2022/
Residential electricity prices worldwide 2022 | Statista – https://www.statista.com/statistics/263492/electricity-prices-in-selected-countries/
Cooperative Time and Energy-Optimal Lane Change Maneuvers for Connected Automated Vehicles – https://par.nsf.gov/servlets/purl/10220239
Ecological driving on multiphase trajectories and multiobjective optimization for autonomous electric vehicle platoon | Scientific Reports – https://www.nature.com/articles/s41598-022-09156-2
Sustainability | Free Full-Text | Traffic Signal Control via Reinforcement Learning for Reducing Global Vehicle Emission – https://www.mdpi.com/2071-1050/13/20/11254/htm
Basic Electronics Part 1 – YouTube – https://www.youtube.com/watch?v=nb4ovfwqup8
Getting Started with Python Deep Learning for Beginners – YouTube – https://www.youtube.com/watch?v=19LQRx78QVU
How to submit | Physics-informed machine learning and its real-world applications – https://www.nature.com/collections/hdjhcifhad/how-to-submit
Towards Green AI with tensor networks 2205.12961.pdf – https://arxiv.org/pdf/2205.12961.pdf
Environmental impacts of autonomous vehicles: A review of the scientific literature – ScienceDirect – https://www.sciencedirect.com/science/article/pii/S0048969722017089
[2108.09518] MOTSynth: How Can Synthetic Data Help Pedestrian Detection and Tracking? – https://arxiv.org/abs/2108.09518
Diversity of options to eliminate fossil fuels and reach carbon neutrality across the entire European energy system – ScienceDirect – https://www.sciencedirect.com/science/article/pii/S2542435122002367?via%3Dihub
[2206.05229] Measuring the Carbon Intensity of AI in Cloud Instances – https://arxiv.org/abs/2206.05229
[2110.08350] Differentiable Network Pruning for Microcontrollers – https://arxiv.org/abs/2110.08350
[2211.02001] Estimating the Carbon Footprint of BLOOM, a 176B Parameter Language Model – https://arxiv.org/abs/2211.02001
Counting Carbon: A Survey of Factors Influencing the Emissions of Machine Learning – https://arxiv.org/pdf/2302.08476.pdf
DayDreamer: World Models for Physical Robot Learning – https://danijar.com/project/daydreamer/
Dreamer v2: Mastering Atari with Discrete World Models (Machine Learning Research Paper Explained) – YouTube – https://www.youtube.com/watch?v=o75ybZ-6Uu8
Simple explanation of convolutional neural network | Deep Learning Tutorial 23 (Tensorflow & Python) – YouTube – https://www.youtube.com/watch?v=zfiSAzpy9NM
Practical Deep Learning for Coders – 1: Getting started – https://course.fast.ai/Lessons/lesson1.html
Quantization for Fast and Environmentally Sustainable Reinforcement Learning – Google AI Blog – https://ai.googleblog.com/2022/09/quantization-for-fast-and.html
Electricity Maps | Reduce carbon emissions with actionable electricity data – https://www.electricitymaps.com/
The multi-billion-dollar potential of synthetic data | VentureBeat – https://venturebeat.com/ai/the-multi-billion-dollar-potential-of-synthetic-data/amp/
Sustainable Systems Engineering (Master of Science) — Die Technische Fakultät – https://www.tf.uni-freiburg.de/de/studienangebot/sustainable-systems/m-sc-sustainable-systems-engineering
Improving generalization to new environments and removing catastrophic
forgetting in Reinforcement Learning by using an eco-system of agents 2204.06550.pdf – https://arxiv.org/pdf/2204.06550.pdf
Goodbye, Data Science – r y x, r – https://ryxcommar.com/2022/11/27/goodbye-data-science/
Understanding Reinforcement Learning from Human Feedback (RLHF): Part 1 | RLHF – Weights & Biases – https://wandb.ai/ayush-thakur/RLHF/reports/Understanding-Reinforcement-Learning-from-Human-Feedback-RLHF-Part-1–VmlldzoyODk5MTIx
Deep Reinforcement Learning based control algorithms: Training and validation using the ROS Framework in CARLA Simulator for Self-Driving applications | IEEE Conference Publication | IEEE Xplore – https://ieeexplore.ieee.org/document/9575616
What we look for in a resume – https://huyenchip.com/2023/01/24/what-we-look-for-in-a-candidate.html
Computer vision technology in agriculture | SuperAnnotate – https://www.superannotate.com/blog/computer-vision-in-agriculture
DataPerf: the Leaderboard for Data | MLCommons – https://mlcommons.org/en/news/dataperf-the-leaderboard-for-data/
Choose Your Weapon: Survival Strategies for Depressed AI Academics – https://arxiv.org/abs/2304.06035
ChatGPT Is Consuming a Staggering Amount of Water – https://futurism.com/the-byte/chatgpt-ai-water-consumption
Terence Tao Career advice – https://terrytao.wordpress.com/career-advice/
Bucky’s Livingry – https://fullerfuturefest.com/buckys-top-10-artifacts-of-livingry/
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