99snowleopards

99snowleopards

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computer-science

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

dspy

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

Language:PythonLicense:MITStargazers:17343Issues:142Issues:734

mamba

Mamba SSM architecture

Language:PythonLicense:Apache-2.0Stargazers:12702Issues:101Issues:511

Modern-CPP-Programming

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

ml-engineering

Machine Learning Engineering Open Book

Language:PythonLicense:CC-BY-SA-4.0Stargazers:11074Issues:113Issues:23

WizardLM

LLMs build upon Evol Insturct: WizardLM, WizardCoder, WizardMath

quantstats

Portfolio analytics for quants, written in Python

Language:PythonLicense:Apache-2.0Stargazers:4803Issues:109Issues:249
Language:PythonLicense:Apache-2.0Stargazers:4529Issues:78Issues:87

co-tracker

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

Language:Jupyter NotebookLicense:NOASSERTIONStargazers:2698Issues:24Issues:81

geomstats

Computations and statistics on manifolds with geometric structures.

Language:Jupyter NotebookLicense:MITStargazers:1239Issues:38Issues:524

what_are_embeddings

A deep dive into embeddings starting from fundamentals

Language:Jupyter NotebookStargazers:937Issues:11Issues:13

the-art-of-debugging

The Art of Debugging

Language:CLicense:CC-BY-SA-4.0Stargazers:798Issues:16Issues:0

conformal-prediction

Lightweight, useful implementation of conformal prediction on real data.

Language:Jupyter NotebookLicense:MITStargazers:751Issues:12Issues:10

weatherbench2

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

Language:PythonLicense:Apache-2.0Stargazers:412Issues:8Issues:41

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 NotebookLicense:MITStargazers:340Issues:7Issues:2

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:PythonLicense:Apache-2.0Stargazers:322Issues:24Issues:212

modulus-makani

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

Language:PythonLicense:NOASSERTIONStargazers:225Issues:12Issues:3

awesome-conformal-prediction

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

ai-models-for-all

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

pycontrails

Python library for modeling contrails and other aviation climate impacts

Language:PythonLicense:Apache-2.0Stargazers:53Issues:8Issues:74

Data-Assimilation-Fundamentals

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

rust-for-data

rust-for-data

Language:RustLicense:GPL-3.0Stargazers:43Issues:3Issues:0

Stochastic-Processes

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

Language:PythonStargazers:36Issues:2Issues:0

api

GPTStonks FastAPI repo

Language:PythonLicense:MITStargazers:33Issues:1Issues:1

kooplearn

A Python package to learn the Koopman operator.

Language:PythonLicense:MITStargazers:23Issues:0Issues:0

paramfittorchdemo

How to use pytorch to fit parameters of differential equations

Language:Jupyter NotebookLicense:MITStargazers:10Issues:2Issues:0
Language:PythonLicense:GPL-3.0Stargazers:9Issues:5Issues:1

3dVarBio

Variational Method for Data Assimilation

Language:FortranStargazers:4Issues:4Issues:0
Language:JuliaLicense:MITStargazers:1Issues:1Issues:0