99snowleopards

99snowleopards's Stars

• ossu/computer-science

  🎓 Path to a free self-taught education in Computer Science!

  171k5.8k64021.5k

• stanfordnlp/dspy

  DSPy: The framework for programming—not prompting—foundation models

  Language:Python17.4k1427341.3k

• state-spaces/mamba

  Mamba SSM architecture

  Language:Python12.7k1025111.1k

• federico-busato/Modern-CPP-Programming

  Modern C++ Programming Course (C++03/11/14/17/20/23/26)

  Language:HTML11.9k134102798

• stas00/ml-engineering

  Machine Learning Engineering Open Book

  Language:Python11.1k11323663

• nlpxucan/WizardLM

  LLMs build upon Evol Insturct: WizardLM, WizardCoder, WizardMath

  Language:Python9.2k113190715

• ranaroussi/quantstats

  Portfolio analytics for quants, written in Python

  Language:Python4.8k109249840

• google-deepmind/graphcast

  Language:Python4.5k7887571

• facebookresearch/co-tracker

  CoTracker is a model for tracking any point (pixel) on a video.

  Language:Jupyter Notebook2.7k2481193

• geomstats/geomstats

  Computations and statistics on manifolds with geometric structures.

  Language:Jupyter Notebook1.2k38524248

• veekaybee/what_are_embeddings

  A deep dive into embeddings starting from fundamentals

  Language:Jupyter Notebook939111374

• rmcelreath/stat_rethinking_2024

  Language:R910542109

• stas00/the-art-of-debugging

  The Art of Debugging

  Language:C79816031

• aangelopoulos/conformal-prediction

  Lightweight, useful implementation of conformal prediction on real data.

  Language:Jupyter Notebook753121086

• google-research/weatherbench2

  A benchmark for the next generation of data-driven global weather models.

  Language:Python41484141

• 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 Notebook34072111

• mlcommons/algorithmic-efficiency

  MLCommons Algorithmic Efficiency is a benchmark and competition measuring neural network training speedups due to algorithmic improvements in both training algorithms and models.

  Language:Python3222421262

• NVIDIA/modulus-makani

  Massively parallel training of machine-learning based weather and climate models

  Language:Python22512333

• 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.

  21251019

• darothen/ai-models-for-all

  Run AI NWP forecasts hassle-free, serverless in the cloud!

  Language:Python105818

• contrailcirrus/pycontrails

  Python library for modeling contrails and other aviation climate impacts

  Language:Python5387415

• geirev/Data-Assimilation-Fundamentals

  This repository is a resource complementary to the book: Data Assimilation Fundamental: A unified formulation for state and parameter estimation

  45349

• PedramNavid/rust-for-data

  rust-for-data

  Language:Rust43302

• VincentGranville/Stochastic-Processes

  My book: Gentle Introduction to Chaotic Dynamical Systems. Includes stochastic dynamical systems and statistical properties of numeration systems in any dimension.

  Language:Python36209

• GPTStonks/api

  GPTStonks FastAPI repo

  Language:Python33111

• CSML-IIT-UCL/kooplearn

  A Python package to learn the Koopman operator.

  Language:Python235

• khannay/paramfittorchdemo

  How to use pytorch to fit parameters of differential equations

  Language:Jupyter Notebook10205

• google-research/heatnet

  Language:Python9514

• inogs/3dVarBio

  Variational Method for Data Assimilation

  Language:Fortran4402

• PabRod/DualDiff.jl

  Language:Julia1100