joshuaeh

joshuaeh's Stars

• CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

  aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

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• tinygrad/tinygrad

  You like pytorch? You like micrograd? You love tinygrad! ❤️

  Language:Python26.4k2747292.9k

• alshedivat/al-folio

  A beautiful, simple, clean, and responsive Jekyll theme for academics

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• coolwanglu/pdf2htmlEX

  Convert PDF to HTML without losing text or format.

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• probml/pyprobml

  Python code for "Probabilistic Machine learning" book by Kevin Murphy

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• pytorch/opacus

  Training PyTorch models with differential privacy

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• Ceyron/machine-learning-and-simulation

  All the handwritten notes 📝 and source code files 🖥️ used in my YouTube Videos on Machine Learning & Simulation (https://www.youtube.com/channel/UCh0P7KwJhuQ4vrzc3IRuw4Q)

  Language:Jupyter Notebook8402510177

• fmarotta/kaobook

  A LaTeX class for books, reports or theses based on https://github.com/kenohori/thesis and https://github.com/Tufte-LaTeX/tufte-latex.

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• vecxoz/vecstack

  Python package for stacking (machine learning technique)

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• probml/dynamax

  State Space Models library in JAX

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• tunguz/ML_Resources

  GitHub Repo with various ML/AI/DS resources that I find useful

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• LeoGrin/tabular-benchmark

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• NREL/rdtools

  PV Analysis Tools in Python

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• JmlrOrg/jmlr-style-file

  LaTeX style file for the Journal of Machine Learning Research

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• NREL/resstock

  Highly granular modeling of residential building stocks at national, regional, and local scales using OpenStudio/EnergyPlus.

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• salesforce/online_conformal

  Methods for online conformal prediction.

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• NREL/REopt_API

  The model for the REopt API, which is used as the back-end for the REopt Webtool (reopt.nrel.gov/tool), and can be accessed directly via the NREL Developer Network (https://developer.nrel.gov/docs/energy-optimization/reopt)

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• NREL/sup3r

  The Super-Resolution for Renewable Resource Data (sup3r) software uses generative adversarial networks to create synthetic high-resolution wind and solar spatiotemporal data from coarse low-resolution inputs.

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• NREL/elm

  ELM is a collection of utilities to apply Large Language Models (LLMs) to energy research.

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• gridstatus/gridstatusio

  Python client for accessing the GridStatus.io Hosted API.

  Language:Python28573

• NREL/DSS-SimPy-RL

  This repository is an Reinforcement Learning Platform for learning agents to control cyber-physical Power Distribution Systems resiliently. The cyber environment in based on SimPy Discrete Event Simulator, while the distribution system is backened by Open-DSS.

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• NREL/REopt.jl

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• ML-PSE/Machine_Learning_for_PSE

  Code repository for the book 'Machine Learning in Python for Process Systems Engineering'

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• YuchiSun/SUNSET

  Stanford University Neural-network for Solar Electricity Trend

  Language:Jupyter Notebook15219

• ML-PSE/Fluid-Catalytic-Cracking-Unit-Dataset-for-Process-Monitoring-Evaluation

  Datasets from a fluid catalytic cracking unit to evaluate FDD techniques

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• NREL/learning-building-control

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• jrzaurin/infinitoml

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• NREL/LiAISON

  Lifecyle Analysis Integration into Scalable Opensource Numerical models (LiAISON)

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• NREL/ochre_gym

  OpenAI Gym-like RL environment built on top of NREL's OCHRE™ simulator

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• NREL/bokeh-streaming

  This is for software record SWR-19-08 titled bokeh-streaming. Copyright (c) 2019 Alliance for Sustainable Energy, LLC

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