FengYinan's Stars
dome272/VQGAN-pytorch
Pytorch implementation of VQGAN (Taming Transformers for High-Resolution Image Synthesis) (https://arxiv.org/pdf/2012.09841.pdf)
EdisonLeeeee/Awesome-Masked-Autoencoders
A collection of literature after or concurrent with Masked Autoencoder (MAE) (Kaiming He el al.).
diff-usion/Awesome-Diffusion-Models
A collection of resources and papers on Diffusion Models
CompVis/taming-transformers
Taming Transformers for High-Resolution Image Synthesis
CompVis/stable-diffusion
A latent text-to-image diffusion model
labmlai/annotated_deep_learning_paper_implementations
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
xuekt98/BBDM
BBDM: Image-to-image Translation with Brownian Bridge Diffusion Models
Anduin2017/HowToCook
程序员在家做饭方法指南。Programmer's guide about how to cook at home (Simplified Chinese only).
hodcroftlab/covariants
Real-time updates and information about key SARS-CoV-2 variants, plus the scripts that generate this information.
ahmetbersoz/chatgpt-prompts-for-academic-writing
This list of writing prompts covers a range of topics and tasks, including brainstorming research ideas, improving language and style, conducting literature reviews, and developing research plans.
junyanz/pytorch-CycleGAN-and-pix2pix
Image-to-Image Translation in PyTorch
neuraloperator/markov_neural_operator
google-research/tuning_playbook
A playbook for systematically maximizing the performance of deep learning models.
pb0316/thuhole_memories
lucidrains/vit-pytorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
slwang9353/MobileFormer
MobileFormer in torch
ctgk/PRML
PRML algorithms implemented in Python
datawhalechina/pumpkin-book
《机器学习》（西瓜书）公式详解
tatp22/multidim-positional-encoding
An implementation of 1D, 2D, and 3D positional encoding in Pytorch and TensorFlow
wzlxjtu/PositionalEncoding2D
A PyTorch implementation of the 1d and 2d Sinusoidal positional encoding/embedding.
google-deepmind/deepmind-research
This repository contains implementations and illustrative code to accompany DeepMind publications
YuntianChen/Hard_constraint_projection_HCP
Theory-guided hard constraint projection (HCP): a knowledge-based data-driven scientific machine learning method
jynew/jynew
JinYongLegend-like RPG Game Framework with full Modding support and 10+ hours playable samples of game.
asappresearch/sru
Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755)
vinayakumarr/Network-Intrusion-Detection
Network Intrusion Detection KDDCup '99', NSL-KDD and UNSW-NB15
talhahascelik/python_stepwiseSelection
Automated Backward and Forward Selection On Python
snap-stanford/ogb
Benchmark datasets, data loaders, and evaluators for graph machine learning
Akulm26/ITD_Core
The CERT Division, in partnership with ExactData, LLC, and under sponsorship from DARPA I2O, generated a collection of synthetic insider threat test datasets. These datasets provide both synthetic background data and data from synthetic malicious actors. For more background on this data, please see the paper, Bridging the Gap: A Pragmatic Approach to Generating Insider Threat Data. Datasets are organized according to the data generator release that created them. Most releases include multiple datasets (e.g., r3.1 and r3.2).
rob-med/awesome-TS-anomaly-detection
List of tools & datasets for anomaly detection on time-series data.
shubhomoydas/ad_examples
A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.