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 🤖.

News: the 10k dataset is ready for download.

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

This custom_node for ComfyUI adds one-click "Virtual VRAM" for any GGUF UNet and CLIP loader, managing the offload of layers to DRAM or VRAM to maximize the latent space of your card. Also includes nodes for directly loading entire components (UNet, CLIP, VAE) onto the device you choose. Includes 16 examples covering common use cases.

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