marc345's Stars
jwasham/coding-interview-university
A complete computer science study plan to become a software engineer.
yangshun/tech-interview-handbook
💯 Curated coding interview preparation materials for busy software engineers
lucidrains/vit-pytorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
VikParuchuri/surya
OCR, layout analysis, reading order, table recognition in 90+ languages
google-research/vision_transformer
fastai/numerical-linear-algebra
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
srush/GPU-Puzzles
Solve puzzles. Learn CUDA.
facebookresearch/mae
PyTorch implementation of MAE https//arxiv.org/abs/2111.06377
alexlenail/NN-SVG
Publication-ready NN-architecture schematics.
BoltzmannEntropy/interviews.ai
It is my belief that you, the postgraduate students and job-seekers for whom the book is primarily meant will benefit from reading it; however, it is my hope that even the most experienced researchers will find it fascinating as well.
AlexanderKoch-Koch/low_cost_robot
AakashKumarNain/annotated_research_papers
This repo contains annotated research papers that I found really good and useful
facebookresearch/fvcore
Collection of common code that's shared among different research projects in FAIR computer vision team.
jeonsworld/ViT-pytorch
Pytorch reimplementation of the Vision Transformer (An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale)
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.
google/brain-tokyo-workshop
🧠🗼
dataflowr/notebooks
code for deep learning courses
hila-chefer/Transformer-MM-Explainability
[ICCV 2021- Oral] Official PyTorch implementation for Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers, a novel method to visualize any Transformer-based network. Including examples for DETR, VQA.
raoyongming/DynamicViT
[NeurIPS 2021] [T-PAMI] DynamicViT: Efficient Vision Transformers with Dynamic Token Sparsification
zhijian-liu/torchprofile
A general and accurate MACs / FLOPs profiler for PyTorch models
chinhsuanwu/mobilevit-pytorch
A PyTorch implementation of "MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer"
zihangJiang/TokenLabeling
Pytorch implementation of "All Tokens Matter: Token Labeling for Training Better Vision Transformers"
madibabaiasl/modern-robotics-course
This repository is all the lessons for Modern Robotics Course.
AakashKumarNain/TF_JAX_tutorials
All about the fundamental blocks of TF and JAX!
emla2805/vision-transformer
Tensorflow implementation of the Vision Transformer (An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale)
Shaka-Labs/ACT
Action Chunking Transformer implementation for low cost robot
ashishpatel26/Vision-Transformer-Keras-Tensorflow-Pytorch-Examples
Tensorflow implementation of the Vision Transformer (An Image is Worth 16x16 Words: Transformer
protonx-engineering/vit
Our implementation for paper: An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
openclimatefix/openclimatefix.github.io
HOSTING ONLY. SOURCE HERE --> https://github.com/openclimatefix/website
yosoufe/VAMR
Vision Algorithms for Mobile Robotics