YugeTen's Stars
kaixindelele/ChatPaper
Use ChatGPT to summarize the arXiv papers. 全流程加速科研,利用chatgpt进行论文全文总结+专业翻译+润色+审稿+审稿回复
YugeTen/adios
libffcv/ffcv
FFCV: Fast Forward Computer Vision (and other ML workloads!)
facebookresearch/mae
PyTorch implementation of MAE https//arxiv.org/abs/2111.06377
wvangansbeke/Unsupervised-Classification
SCAN: Learning to Classify Images without Labels, incl. SimCLR. [ECCV 2020]
lucasb-eyer/pydensecrf
Python wrapper to Philipp Krähenbühl's dense (fully connected) CRFs with gaussian edge potentials.
MarvinTeichmann/ConvCRF
This repository contains the reference implementation for our proposed Convolutional CRFs.
jason718/awesome-self-supervised-learning
A curated list of awesome self-supervised methods
vturrisi/solo-learn
solo-learn: a library of self-supervised methods for visual representation learning powered by Pytorch Lightning
dorarad/gansformer
Generative Adversarial Transformers
YugeTen/fish
Official implementation of paper Gradient Matching for Domain Generalization
ibraheemdev/modern-unix
A collection of modern/faster/saner alternatives to common unix commands.
applied-ai-lab/genesis
Official PyTorch implementation of GENESIS and GENESIS-V2
stelzner/monet
An implementation of the MONet model for unsupervised scene decomposition in PyTorch
lucidrains/slot-attention
Implementation of Slot Attention from GoogleAI
kexinyi/ns-vqa
Neural-symbolic visual question answering
yuchenlin/rebiber
A simple tool to update bib entries with their official information (e.g., DBLP or the ACL anthology).
fastai/numerical-linear-algebra
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
jindongwang/transferlearning
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
alok/rl_implementations
AdrienLE/ANIML
Reproduction of "Model-Agnostic Meta-Learning" (MAML) and "Reptile".
YannDubs/disentangling-vae
Experiments for understanding disentanglement in VAE latent representations
facebookresearch/higher
higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather than individual training steps.
google/jax
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
cornellius-gp/gpytorch
A highly efficient implementation of Gaussian Processes in PyTorch
romkatv/powerlevel10k
A Zsh theme
fossasia/visdom
A flexible tool for creating, organizing, and sharing visualizations of live, rich data. Supports Torch and Numpy.
iffsid/disentangling-disentanglement
kevinzakka/torchnca
A PyTorch implementation of Neighbourhood Components Analysis.
brendenlake/SCAN
Simple language-driven navigation tasks for studying compositional learning