shoelim's Stars
kentaroy47/vision-transformers-cifar10
Let's train vision transformers (ViT) for cifar 10!
xxxnell/how-do-vits-work
(ICLR 2022 Spotlight) Official PyTorch implementation of "How Do Vision Transformers Work?"
google-research/vision_transformer
pytorch/tutorials
PyTorch tutorials.
patrick-kidger/diffrax
Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/
donnemartin/interactive-coding-challenges
120+ interactive Python coding interview challenges (algorithms and data structures). Includes Anki flashcards.
gordicaleksa/get-started-with-JAX
The purpose of this repo is to make it easy to get started with JAX, Flax, and Haiku. It contains my "Machine Learning with JAX" series of tutorials (YouTube videos and Jupyter Notebooks) as well as the content I found useful while learning about the JAX ecosystem.
libffcv/ffcv
FFCV: Fast Forward Computer Vision (and other ML workloads!)
Developer-Y/cs-video-courses
List of Computer Science courses with video lectures.
ossu/computer-science
🎓 Path to a free self-taught education in Computer Science!
GokuMohandas/Made-With-ML
Learn how to design, develop, deploy and iterate on production-grade ML applications.
JumpCrypto/crypto-reading-list
The-AI-Summer/self-attention-cv
Implementation of various self-attention mechanisms focused on computer vision. Ongoing repository.
Yangzhangcst/Transformer-in-Computer-Vision
A paper list of some recent Transformer-based CV works.
RobustBench/robustbench
RobustBench: a standardized adversarial robustness benchmark [NeurIPS 2021 Benchmarks and Datasets Track]
mostafatouny/awesome-theoretical-computer-science
The interdicplinary of Mathematics and Computer Science, Distinguisehed by its emphasis on mathemtical technique and rigour.
erichson/NFM
kenjihiranabe/The-Art-of-Linear-Algebra
Graphic notes on Gilbert Strang's "Linear Algebra for Everyone"
google/automl
Google Brain AutoML
chawins/Adversarial-Examples-Reading-List
This is the reading list mainly on adversarial examples (attacks, defenses, etc.) I try to keep and update regularly.
mml-book/mml-book.github.io
Companion webpage to the book "Mathematics For Machine Learning"
probml/pml-book
"Probabilistic Machine Learning" - a book series by Kevin Murphy
google-research/google-research
Google Research
AgaMiko/data-augmentation-review
List of useful data augmentation resources. You will find here some not common techniques, libraries, links to GitHub repos, papers, and others.
jason9693/MusicTransformer-pytorch
implementation of music transformer with pytorch (ICLR2019)
crispitagorico/sigkernel
Differentiable computations for the signature-PDE-kernel on CPU and GPU.
facebookresearch/fairseq
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
umutsimsekli/sgd_tail_index
The codebase for the paper "A Tail-Index Analysis of Stochastic Gradient Noise in Deep Neural Networks"
google/neural-tangents
Fast and Easy Infinite Neural Networks in Python
pyg-team/pytorch_geometric
Graph Neural Network Library for PyTorch