Andy-wyx
Master student at Brown University Bachelor graduated from HKPolyU.
Brown UniversityProvidence, RI
Andy-wyx's Stars
NeuroHackademy2024/projects
3b1b/manim
Animation engine for explanatory math videos
bmosk54/MetaMorph
NeuroMatch NeuroAI project
ccli3896/RLWorms
Setting up C elegans as an RL environment.
renju-note/quintet
Renju mate solver compilable to WebAssembly
Pranshu258/Renju
A Python/Pygame implementation of the RENJU Game
karpathy/nanoGPT
The simplest, fastest repository for training/finetuning medium-sized GPTs.
jacobgil/pytorch-grad-cam
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
frgfm/torch-cam
Class activation maps for your PyTorch models (CAM, Grad-CAM, Grad-CAM++, Smooth Grad-CAM++, Score-CAM, SS-CAM, IS-CAM, XGrad-CAM, Layer-CAM)
guanyingc/latex_paper_writing_tips
Tips for Writing a Research Paper using LaTeX
garrettj403/SciencePlots
Matplotlib styles for scientific plotting
lightvector/KataGo
GTP engine and self-play learning in Go
hzyhhzy/KataGo
GTP engine and self-play learning in Go
soumith/ganhacks
starter from "How to Train a GAN?" at NIPS2016
hindupuravinash/the-gan-zoo
A list of all named GANs!
hila-chefer/Transformer-Explainability
[CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize classifications by Transformer based networks.
CompVis/latent-diffusion
High-Resolution Image Synthesis with Latent Diffusion Models
huggingface/pytorch-image-models
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
uoguelph-mlrg/Cutout
2.56%, 15.20%, 1.30% on CIFAR10, CIFAR100, and SVHN https://arxiv.org/abs/1708.04552
facebookresearch/dinov2
PyTorch code and models for the DINOv2 self-supervised learning method.
CroitoruAlin/Diffusion-Models-in-Vision-A-Survey
This repository categorizes the papers about diffusion models applied in computer vision according to their target task. The classifcation is based on our survey: https://arxiv.org/abs/2209.04747v1
YangLing0818/Diffusion-Models-Papers-Survey-Taxonomy
Diffusion model papers, survey, and taxonomy
ichinaski/pxl
Display images in the terminal
jonescompneurolab/SpectralEvents
Toolbox for detecting and analyzing rhythms as transient spectral events
julestalloen/pytorch-hebbian
A lightweight and flexible framework for Hebbian learning in PyTorch.
bmcmenamin/hebbnets
Playing with biologically plausible deep learning
deel-ai/xplique
👋 Xplique is a Neural Networks Explainability Toolbox
huyvnphan/PyTorch_CIFAR10
Pretrained TorchVision models on CIFAR10 dataset (with weights)
markWJJ/GitHub-Chinese-Top-Charts
anne-urai/largescale_recordings
Urai AE, Doiron B, Leifer AM & Churchland AK (2022) Large-scale neural recordings call for new insights to link brain and behavior. Nature Neuroscience