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Python code of Hilbert-Schmidt Independence Criterion
A flexible framework powered by ComfyUI for generating personalized Nobel Prize images.
This repository is the demo implementation of [Deep Dimension Reduction for Supervised Representation Learning].
Code examples in pyTorch and Tensorflow for CS230
(Minimalism Style) Powered by Jekyll, based on the Minimal Mistakes theme and Jason Ansel's website
Shortest solutions for CS231n 2021-2024
Everything about federated learning, including research papers, books, codes, tutorials, videos and beyond
Reinforcement Learning Short Course
A collection of Beamer themes from the community
A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API
deeplearning.ai , By Andrew Ng, All slide and notebook data solutions and video link
Variational Bayes for Point Processes: implementation of Lloyd et al. (2015) on top of GPflow
Probability Theory and Mathematical Statistics Tutorial
Nonconvex Regularized Robust Regression via I-LAMM Algorithm
Simple implementation of Tractable and Scalable nonparametric Bayesian inference in NHPP
SKPD: A General Framework of Signal Region Detection in Image Regression
PRML algorithms implemented in 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。
Notebooks about Bayesian methods for machine learning
❤️中国科学技术大学计算机学院课程资源备份，最新的请查看--->