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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.
Python Data Science Handbook: full text in Jupyter Notebooks
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
Google Research
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 ;)
A game theoretic approach to explain the output of any machine learning model.
Learn OpenCV : C++ and Python Examples
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。
深度学习入门教程, 优秀文章, Deep Learning Tutorial
强化学习中文教程（蘑菇书🍄），在线阅读地址：https://datawhalechina.github.io/easy-rl/
Public facing notes page
My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(2000+页)和视频链接
[NeurIPS 2024 Best Paper Award][GPT beats diffusion🔥] [scaling laws in visual generation📈] Official impl. of "Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction". A…
Repo for the Deep Reinforcement Learning Nanodegree program
SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners
An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
Segment Anything in Medical Images
MIMIC Code Repository: Code shared by the research community for the MIMIC family of databases
Implementing a Neural Network from Scratch
Early stopping for PyTorch
https://www.sc-best-practices.org
Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch
Lightweight, useful implementation of conformal prediction on real data.
A library for creating complex UpSet plots with ggplot2 geoms