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The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
A game theoretic approach to explain the output of any machine learning model.
The fastai book, published as Jupyter Notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filte…
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
Automatic extraction of relevant features from time series:
Python code for "Probabilistic Machine learning" book by Kevin Murphy
Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai
A python tutorial on bayesian modeling techniques (PyMC3)
PyMC educational resources
A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods
Tigramite is a python package for causal inference with a focus on time series data. The Tigramite documentation is at
Python supercharged for the fastai library
A course in numerical methods with Python for engineers and scientists: currently 5 learning modules, with student assignments.
Python/PyMC3 versions of the programs described in Doing bayesian data analysis by John K. Kruschke
A benchmark dataset for data-driven weather forecasting
Pangeo website + discussion of general issues related to the project.
Doing Bayesian Data Analysis, 2nd Edition (Kruschke, 2015): Python/PyMC3 code
CUDA-accelerated GIS and spatiotemporal algorithms
A tutorial on Julia DataFrames package
Data Science in Julia course for JuliaAcademy.com, taught by Huda Nassar
18.335 - Introduction to Numerical Methods course
Named Tensor implementation for Torch
This repository contains examples of fine-tuning Harmonized Landsat and Sentinel-2 (HLS) Prithvi foundation model.
Beautiful charting of pandas.DataFrame with Highcharts
Visualizing CNN filters using PyTorch