Notes for Fastai Deep Learning Course

Source codes for the book "Reinforcement Learning: Theory and Python Implementation"

Code for Switchable Normalization from "Differentiable Learning-to-Normalize via Switchable Normalization", https://arxiv.org/abs/1806.10779

Visualization toolkit for neural networks in PyTorch! Demo -->

PyTorch for Numpy users. https://pytorch-for-numpy-users.wkentaro.com

Slides, paper notes, class notes, blog posts, and research on ML 📉, statistics 📊, and AI 🤖.

Large Language Models for All, 🦙 Cult and More, Stay in touch !

📖 [译] fast.ai 机器学习和深度学习中文笔记

News: the 10k dataset is ready for download.

Open source package for Survival Analysis modeling

A toolbox for domain adaptation and semi-supervised learning. Contributions welcome.

[ICLR 2023] "More ConvNets in the 2020s: Scaling up Kernels Beyond 51x51 using Sparsity"; [ICML 2023] "Are Large Kernels Better Teachers than Transformers for ConvNets?"

PyTorch wheels (whl) & conda for aarch64 / ARMv8 / ARM64

Easy-to-use finetuned YOLOv8 models.

A pytorch implementation of pix2pix + BEGAN (Boundary Equilibrium Generative Adversarial Networks)

Offline documentation built from official PyTorch release

MIT-BIH ECG recognition using 1d CNN with TensorFlow2 and PyTorch

Example notebooks demonstrating how to use Clara Train to build Medical Imaging Deep Learning models

東京工業大学 traP Kaggle班「機械学習講習会」の資料