12kleingordon34

12kleingordon34's Stars

• sn-code-inside/gaussian-process-models-for-quantitative-finance

  Language:Jupyter Notebook187

• MuhammadAhsaanAbbasi/generative-ai

  Language:Jupyter Notebook14921

• tpaviot/ProcessScheduler

  A Python package for automatic and optimized resource scheduling

  Language:Jupyter Notebook6825

• BeastByteAI/falcon

  A lightweight AutoML library.

  Language:Python16012

• decodingml/llm-twin-course

  🤖 𝗟𝗲𝗮𝗿𝗻 for 𝗳𝗿𝗲𝗲 how to 𝗯𝘂𝗶𝗹𝗱 an end-to-end 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻-𝗿𝗲𝗮𝗱𝘆 𝗟𝗟𝗠 & 𝗥𝗔𝗚 𝘀𝘆𝘀𝘁𝗲𝗺 using 𝗟𝗟𝗠𝗢𝗽𝘀 best practices: ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 12 𝘩𝘢𝘯𝘥𝘴-𝘰𝘯 𝘭𝘦𝘴𝘴𝘰𝘯𝘴

  Language:Python3.8k623

• KAYOKG/BibliotecaDev

  📚 Biblioteca de livros essenciais da área da programação. (Confira o meu novo projeto `SendScriptWhatsapp`)

  7.5k1.1k

• garrettj403/SciencePlots

  Matplotlib styles for scientific plotting

  Language:Python7.7k732

• n2cholas/awesome-jax

  JAX - A curated list of resources https://github.com/google/jax

  1.8k141

• llaurabatt/frugal-flows

  Language:Jupyter Notebook3

• danielward27/flowjax

  Language:Python15416

• generative-ecology/resources

  Resources for learning about generative modeling in ecology

  4

• louisaslett/APTS-StatML

  Academy of PhD Training in Statistics, Statistical Machine Learning module code

  Language:R71

• helenecharlotte/TMLE-course

  171

• StatisticalReinforcementLearningLab/Stat-ML-CDT-2023

  This repo contains the content for the RL course at the one-week StatML CDT Summer School 2023 by Raaz Dwivedi, Susan Murphy & Kelly Zhang

  Language:Jupyter Notebook74

• Xyntopia/pydoxtools

  Effortlessly extract information from unstructured data with this library, utilizing advanced AI techniques. Compose AI in customizable pipelines and diverse sources for your projects.

  Language:Python8112

• AntonOsika/gpt-engineer

  CLI platform to experiment with codegen. Precursor to: https://lovable.dev

  Language:Python53.8k7k

• ijmbarr/notes-on-causal-inference

  Some notes on Causal Inference, with examples in python

  Language:Jupyter Notebook15263

• callmespring/RL-short-course

  Reinforcement Learning Short Course

  Language:Jupyter Notebook6418

• jejjohnson/research_journal

  My Research Journal covering various topics that interest me. They're mostly scattered notes and resources.

  Language:HTML328

• oxcsml/ML_bazaar

  OxCSML research group reading groups and meetings at the Department of Statistics, University of Oxford.

  Language:Jupyter Notebook9313

• stan-dev/example-models

  Example models for Stan

  Language:HTML778478

• rje42/causl

  Methods for Specifying, Simulating from and Fitting Causal Models

  Language:R145

• pyenv/pyenv-virtualenvwrapper

  an alternative approach to manage virtualenvs from pyenv.

  Language:Shell66844

• avgspacelover/Reddit-wiki-programming

  Resources to Learn Data Structures and Algorithms, ace competitive programming, Get a Job in Tech/CS

  1.9k203

• ImperialCollegeLondon/covid19model

  Code for modelling estimated deaths and cases for COVID19.

  Language:Stan944272

• jvpoulos/causal-ml

  Must-read papers and resources related to causal inference and machine (deep) learning

  698130

• dair-ai/ML-YouTube-Courses

  📺 Discover the latest machine learning / AI courses on YouTube.

  16.5k2k

• ets-labs/python-vimrc

  VIM Configuration for Python / Cython / C Development

  Language:Vim script654342

• jamesjynus/Web_Scraping_Project

  Language:HTML109

• ycm-core/YouCompleteMe

  A code-completion engine for Vim

  Language:Python25.6k2.8k