vntkumar8

vntkumar8's Stars

• andysingal/llm-course

  Language:Jupyter Notebook29333

• cgpotts/cs224u

  Code for Stanford CS224u

  Language:Jupyter Notebook2.1k910

• eugeneyan/ml-design-docs

  📝 Design doc template & examples for machine learning systems (requirements, methodology, implementation, etc.)

  54795

• eugeneyan/1-on-1s

  🌱 1-on-1 questions and resources from my time as a manager.

  35919

• eugeneyan/applied-ml

  📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

  27.3k3.7k

• ronv/sidey

  Sidey is a simple and minimalistic jekyll blogging theme.

  Language:HTML556201

• unpingco/Python-for-Probability-Statistics-and-Machine-Learning-2E

  Second edition of Springer Book Python for Probability, Statistics, and Machine Learning

  Language:Jupyter Notebook343120

• mlabonne/llm-course

  Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

  Language:Jupyter Notebook38.5k4.1k

• AlxndrMlk/causality

  Notes, exercises and other materials related to causal inference, causal discovery and causal ML.

  Language:Jupyter Notebook12731

• mGalarnyk/DSE210_Probability_Statistics_Python

  Probability and Statistics Using Python Data Science Masters Course at UCSD (DSE 210)

  Language:Jupyter Notebook175126

• antononcube/SimplifiedMachineLearningWorkflows-book

  Chapters, code, and organizational files for the book "Simplified Machine Learning Workflows".

  Language:HTML73

• jonkrohn/ML-foundations

  Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science

  Language:Jupyter Notebook3.5k1.6k

• twitter/the-algorithm

  Source code for Twitter's Recommendation Algorithm

  Language:Scala62.3k12.2k

• vincentarelbundock/marginaleffects

  R package to compute and plot predictions, slopes, marginal means, and comparisons (contrasts, risk ratios, odds, etc.) for over 100 classes of statistical and ML models. Conduct linear and non-linear hypothesis tests, or equivalence tests. Calculate uncertainty estimates using the delta method, bootstrapping, or simulation-based inference

  Language:R46248

• Minqi824/ADBench

  Official Implement of "ADBench: Anomaly Detection Benchmark", NeurIPS 2022.

  Language:Python868136

• yzhao062/anomaly-detection-resources

  Anomaly detection related books, papers, videos, and toolboxes

  Language:Python8.4k1.8k

• vsmolyakov/ml_algo_in_depth

  ML algorithms in depth

  Language:Python20931

• bradleyboehmke/data-science-learning-resources

  A collection of data science and machine learning resources that I've found helpful (I only post what I've read!)

  530119

• mohitzsh/ML-Interview

  Resources I used for ML Engineer, Applied Scientist and Quant Researcher interviews.

  30553

• Nixtla/statsforecast

  Lightning ⚡️ fast forecasting with statistical and econometric models.

  Language:Python3.9k280

• SimonOuellette35/Introduction_to_PyMC3

  Language:Jupyter Notebook4032

• linkedin/luminol

  Anomaly Detection and Correlation library

  Language:Python1.2k217

• rmcelreath/stat_rethinking_2023

  Statistical Rethinking Course for Jan-Mar 2023

  Language:R2.2k248

• arasgungore/arasgungore-CV

  My curriculum vitae (CV) written using LaTeX.

  Language:TeX699233

• fastai/numerical-linear-algebra

  Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course

  Language:Jupyter Notebook10.3k2.6k

• Nixtla/neuralforecast

  Scalable and user friendly neural :brain: forecasting algorithms.

  Language:Python3k352

• AnthonyRentsch/calibrated_regression

  A tutorial for the 2018 paper Accurate Uncertainties for Deep Learning Using Calibrated Regression by Kuleshov et al.

  Language:Jupyter Notebook5011

• amueller/COMS4995-s20

  COMS W4995 Applied Machine Learning - Spring 20

  Language:Jupyter Notebook245114

• hollance/reliability-diagrams

  Reliability diagrams visualize whether a classifier model needs calibration

  Language:Jupyter Notebook13718

• gradio-app/gradio

  Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!

  Language:Python33.5k2.5k