mandelbrot-walker

mandelbrot-walker's Stars

• dair-ai/Prompt-Engineering-Guide

  🐙 Guides, papers, lecture, notebooks and resources for prompt engineering

  Language:MDX48.8k5431854.7k

• Dao-AILab/flash-attention

  Fast and memory-efficient exact attention

  Language:Python13.6k1151k1.2k

• datastacktv/data-engineer-roadmap

  Roadmap to becoming a data engineer in 2021

  12.3k544631.3k

• xmu-xiaoma666/External-Attention-pytorch

  🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

  Language:Python11.3k104811.9k

• jacobgil/pytorch-grad-cam

  Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.

  Language:Python10.3k434121.5k

• Mooler0410/LLMsPracticalGuide

  A curated list of practical guide resources of LLMs (LLMs Tree, Examples, Papers)

  9.3k18517715

• interpretml/interpret

  Fit interpretable models. Explain blackbox machine learning.

  Language:C++6.2k144445725

• christianversloot/machine-learning-articles

  🧠💬 Articles I wrote about machine learning, archived from MachineCurve.com.

  3.4k630722

• sbrugman/deep-learning-papers

  Papers about deep learning ordered by task, date. Current state-of-the-art papers are labelled.

  3.2k2495415

• QData/TextAttack

  TextAttack 🐙 is a Python framework for adversarial attacks, data augmentation, and model training in NLP https://textattack.readthedocs.io/en/master/

  Language:Python2.9k38276389

• subeeshvasu/Awesome-Learning-with-Label-Noise

  A curated list of resources for Learning with Noisy Labels

  2.6k10013352

• vsitzmann/awesome-implicit-representations

  A curated list of resources on implicit neural representations.

  2.4k1140139

• avehtari/BDA_course_Aalto

  Bayesian Data Analysis course at Aalto

  Language:TeX2.1k6425557

• rmcelreath/statrethinking_winter2019

  Statistical Rethinking course at MPI-EVA from Dec 2018 through Feb 2019

  2k17436392

• adapter-hub/adapter-transformers

  Huggingface Transformers + Adapters = ❤️

  Language:Python2k24340300

• ermongroup/cs228-notes

  Course notes for CS228: Probabilistic Graphical Models.

  Language:SCSS1.9k7029472

• thunlp/TAADpapers

  Must-read Papers on Textual Adversarial Attack and Defense

  Language:Python1.5k5613194

• SelfExplainML/PiML-Toolbox

  PiML (Python Interpretable Machine Learning) toolbox for model development & diagnostics

  Language:Jupyter Notebook9292354111

• havakv/pycox

  Survival analysis with PyTorch

  Language:Python80415137188

• xmu-xiaoma666/FightingCV-Paper-Reading

  ⭐⭐⭐FightingCV Paper Reading, which helps you understand the most advanced research work in an easier way 🍀 🍀 🍀

  Language:Shell79315089

• locuslab/deq

  [NeurIPS'19] Deep Equilibrium Models

  Language:Python719212980

• hrbrmstr/ggalt

  :earth_americas: Extra Coordinate Systems, Geoms, Statistical Transformations & Scales for 'ggplot2'

  Language:R661296499

• Schlumberger/joint-vae

  Pytorch implementation of JointVAE, a framework for disentangling continuous and discrete factors of variation :star2:

  Language:Jupyter Notebook46020362

• weijie-chen/Econometrics-With-Python

  Tutorials of econometrics featuring Python programming. This is a crash course for reviewing the most important concepts and techniques of basic econometrics, the theories are presented lightly without hustles of derivation and Python codes are straightforward.

  Language:Jupyter Notebook34072114

• genetics-statistics/GEMMA

  Genome-wide Efficient Mixed Model Association

  Language:C++32919246124

• valeman/awesome-conformal-prediction

  A professionally curated list of awesome Conformal Prediction videos, tutorials, books, papers, PhD and MSc theses, articles and open-source libraries.

  22351022

• pmaji/data-science-toolkit

  Collection of stats, modeling, and data science tools in Python and R.

  Language:HTML2129642

• hofnerb/stabs

  Stability Selection with Error Control

  Language:R265269

• cellmapslab/DeepWAS

  DeepWAS: Directly integrating regulatory information into GWAS using machine learning

  Language:Jupyter Notebook15415

• BensonRen/AEM_DIM_Bench

  Repo for paper "Inverse deep learning methods and benchmarks for artificial electromagnetic material design"

  Language:Python146