Mountchicken / Efficient-Deep-LearningLinks
A bag of tricks to speed up your deep learning process
☆162Updated last year
Alternatives and similar repositories for Efficient-Deep-Learning
Users that are interested in Efficient-Deep-Learning are comparing it to the libraries listed below
Sorting:
- Yet another PyTorch Trainer and some core components for deep learning.☆224Updated last year
- Simple tutorials on Pytorch DDP training☆282Updated 3 years ago
- A Survey on Transformer in CV.☆192Updated 2 years ago
- [CVPR 2023 Highlight] This is the official implementation of "Stitchable Neural Networks".☆249Updated 2 years ago
- This repository contains the implementation for the paper "EMP-SSL: Towards Self-Supervised Learning in One Training Epoch."☆230Updated 2 years ago
- The pure and clear PyTorch Distributed Training Framework.☆274Updated last year
- This repo is for our paper: Normalization Techniques in Training DNNs: Methodology, Analysis and Application☆85Updated 4 years ago
- Document the demo and a series of documents for learning the diffusion model.☆42Updated 2 years ago
- Figures I made during my PhD in Deep Learning, for my models and for context☆83Updated 4 years ago
- Lion and Adam optimization comparison☆64Updated 2 years ago
- Evaluation of the Optical Character Recognition (OCR) capabilities of GPT-4V(ision)☆125Updated last year
- Simple Implementation of Pix2Seq model for object detection in PyTorch☆128Updated 2 years ago
- [ICCV 2023] CLR: Channel-wise Lightweight Reprogramming for Continual Learning☆33Updated last year
- [ICLR 2023] This repository includes the official implementation our paper "Can CNNs Be More Robust Than Transformers?"☆143Updated 2 years ago
- 1st Place Solution in Google Universal Image Embedding☆67Updated 2 years ago
- [IJCV 2024] TransDETR: End-to-end Video Text Spotting with Transformer☆104Updated last year
- ImageNet-1K data download, processing for using as a dataset☆119Updated 2 years ago
- Code for You Only Cut Once: Boosting Data Augmentation with a Single Cut, ICML 2022.☆105Updated 2 years ago
- a novel data augmentation method across data modalities☆72Updated 2 years ago
- ☆40Updated 2 years ago
- A Tight-fisted Optimizer☆50Updated 2 years ago
- Recent Advances in MLP-based Models (MLP is all you need!)☆117Updated 2 years ago
- Official Pytorch implementation of Super Vision Transformer (IJCV)☆43Updated 2 years ago
- Multimodal Semi-Supervised Learning for Text Recognition (SemiMTR)☆83Updated 2 years ago
- [NeurIPS2022] Official implementation of the paper 'Green Hierarchical Vision Transformer for Masked Image Modeling'.☆175Updated 2 years ago
- A compilation of network architectures for vision and others without usage of self-attention mechanism☆80Updated 2 years ago
- Official implementation for the paper "Prompt Pre-Training with Over Twenty-Thousand Classes for Open-Vocabulary Visual Recognition"☆258Updated last year
- ☆263Updated 2 years ago
- Reproducible scaling laws for contrastive language-image learning (https://arxiv.org/abs/2212.07143)☆178Updated 4 months ago
- A simple program to calculate and visualize the FLOPs and Parameters of Pytorch models, with handy CLI and easy-to-use Python API.☆131Updated 11 months ago