《笨方法学 Python》（Learn Python the Hard Way）学习笔记

Cool Python features for machine learning that I used to be too afraid to use. Will be updated as I have more time / learn more.

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch

Vector (and Scalar) Quantization, in Pytorch

Implementation of Imagen, Google's Text-to-Image Neural Network, in Pytorch

A short guide on features of Python 3 with examples

A few notebooks about deep learning in pytorch

Notebooks for the "A walk with fastai2" Study Group and Lecture Series

Official Implementation for "Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation"

Supplementary code for the paper "Hyperbolic Image Embeddings".

MICCAI 2023 code for the paper: Feature-Conditioned Cascaded Video Diffusion Models for Precise Echocardiogram Synthesis. EchoDiffusion is a collection of video diffusion models trained from scratc…

MICCAI 2022 Code for the paper: D'ARTAGNAN: Counterfactual Video Generation

t-sne visualization of mnist images when feature is represented by raw pixels and cnn learned feature

Code for paper: Visual-Semantic Graph Attention Networks for Human-Object Interaction Detection. Project page: http://www.juanrojas.net/vspgmn/

Rebuild SRNN with pytoch. Realize human activities detection as well as anticipation.

A system for Human-Object Interaction (HOI) in real scene.

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Evaluation of feature extraction methods for query-by-example spoken term detection with low resource languages

Understanding Deep Learning - Simon J.D. Prince

Basic Machine Learning and Deep Learning