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NMA Computational Neuroscience course |
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Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions. |
Raphire/Win11Debloat | ⭐ 14.7K |
A simple, easy to use PowerShell script to remove pre-installed apps from Windows, disable telemetry, remove Bing from Windows search as well as perform various other changes to declutter and improve your Windows experience. This script works for both Windows 10 and Windows 11. |
HypothesisWorks/hypothesis | ⭐ 7.6K |
Hypothesis is a powerful, flexible, and easy to use library for property-based testing. |
anthonywritescode/explains | ⭐ 414 |
more easily searchable list of explains playlist |
ngnquanq/obsedian | ⭐ 3 |
Shout-out cho ngntrgduc vì đã khai sáng cho tôi về second brain, bởi vì tôi viết rất nhiều, và tốn rất nhiều tiền mua tập :) |
yt-dlp/yt-dlp | ⭐ 93.3K |
A feature-rich command-line audio/video downloader |
astral-sh/uv | ⭐ 32.5K |
An extremely fast Python package and project manager, written in Rust. |
mitmath/18330 | ⭐ 355 |
18.330 Introduction to Numerical Analysis |
mitmath/18335 | ⭐ 505 |
18.335 - Introduction to Numerical Methods course |
mlabonne/llm-course | ⭐ 40.0K |
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks. |
dangeng/visual_anagrams | ⭐ 886 |
Code for the paper "Visual Anagrams: Generating Multi-View Optical Illusions with Diffusion Models" |
firefly-iii/firefly-iii | ⭐ 16.7K |
Firefly III: a personal finances manager |
yandexdataschool/nlp_course | ⭐ 9.9K |
YSDA course in Natural Language Processing |
poloclub/awesome-grad-school | ⭐ 334 |
🎓 Advice and resources for thriving and surviving graduate school |
mitmath/julia-mit | ⭐ 738 |
Tutorials and information on the Julia language for MIT numerical-computation courses. |
mlco2/impact | ⭐ 210 |
ML has an impact on the climate. But not all models are born equal. Compute your model's emissions with our calculator and add the results to your paper with our generated latex template |
ngnquanq/NLP_Final | ⭐ 2 |
NLP |
ollama/ollama | ⭐ 103.0K |
Get up and running with Llama 3.3, Mistral, Gemma 2, and other large language models. |
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Starting kit for the NeurIPS 2023 unlearning challenge |
dcetin/eth-cs-notes | ⭐ 608 |
Lecture notes and cheatsheets for Master's in Computer Science at ETH Zurich |
OpenLogicProject/OpenLogic | ⭐ 1.1K |
An open-source, customizable intermediate logic textbook |
bgavran/Category_Theory_Machine_Learning | ⭐ 1.3K |
List of papers studying machine learning through the lens of category theory |
hmemcpy/milewski-ctfp-pdf | ⭐ 11.1K |
Bartosz Milewski's 'Category Theory for Programmers' unofficial PDF and LaTeX source |
mitmath/computational-thinking | ⭐ 2.6K |
Course 18.S191 at MIT, Fall 2022 - Introduction to computational thinking with Julia |
espanso/espanso | ⭐ 10.2K |
Cross-platform Text Expander written in Rust |
tinygrad/tinygrad | ⭐ 27.2K |
You like pytorch? You like micrograd? You love tinygrad! ❤️ |
vEnhance/napkin | ⭐ 1.3K |
An Infinitely Large Napkin |
suno-ai/bark | ⭐ 36.4K |
🔊 Text-Prompted Generative Audio Model |
gerdm/prml | ⭐ 2.2K |
Repository of notes, code and notebooks in Python for the book Pattern Recognition and Machine Learning by Christopher Bishop |
catppuccin/catppuccin | ⭐ 15.4K |
😸 Soothing pastel theme for the high-spirited! |
typst/typst | ⭐ 36.0K |
A new markup-based typesetting system that is powerful and easy to learn. |
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Best practice and tips & tricks to write scientific papers in LaTeX, with figures generated in Python or Matlab. |
rmcelreath/stat_rethinking_2023 | ⭐ 2.2K |
Statistical Rethinking Course for Jan-Mar 2023 |
krasserm/bayesian-machine-learning | ⭐ 1.8K |
Notebooks about Bayesian methods for machine learning |
SciML/SciMLBook | ⭐ 1.9K |
Parallel Computing and Scientific Machine Learning (SciML): Methods and Applications (MIT 18.337J/6.338J) |
viraptor/reverse-interview | ⭐ 27.8K |
Questions to ask the company during your interview |
huggingface/diffusion-models-class | ⭐ 3.7K |
Materials for the Hugging Face Diffusion Models Course |
astral-sh/ruff | ⭐ 33.8K |
An extremely fast Python linter and code formatter, written in Rust. |
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khangich/machine-learning-interview | ⭐ 10.0K |
Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io. |
google-research/arxiv-latex-cleaner | ⭐ 5.4K |
arXiv LaTeX Cleaner: Easily clean the LaTeX code of your paper to submit to arXiv |
jgm/pandoc | ⭐ 35.1K |
Universal markup converter |