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Tool for onnx->keras or onnx->tflite. Hope this tool can help you.
OpenMMLab Pre-training Toolbox and Benchmark
The implementation of various lightweight networks by using PyTorch. such as:MobileNetV2,MobileNeXt,GhostNet,ParNet,MobileViT、AdderNet,ShuffleNetV1-V2,LCNet,ConvNeXt,etc. ⭐⭐⭐⭐⭐
PPL Quantization Tool (PPQ) is a powerful offline neural network quantization tool.
Implementation of Supervised Contrastive Learning with AMP, EMA, SWA, and many other tricks
This contains our work on a Medical Image Classification Challenge hosted on Kaggle. We have secured 127th rank and a silver medal 🥈 in this competition.
Don't feel pain to use Deformable Convolution
[ICLR'23 Spotlight🔥] The first successful BERT/MAE-style pretraining on any convolutional network; Pytorch impl. of "Designing BERT for Convolutional Networks: Sparse and Hierarchical Masked Modeling"
Tips for Writing a Research Paper using LaTeX
⚡️An Easy-to-use and Fast Deep Learning Model Deployment Toolkit for ☁️Cloud 📱Mobile and 📹Edge. Including Image, Video, Text and Audio 20+ main stream scenarios and 150+ SOTA models with end-to-end…
一个收集C/C++新手学习的入门项目,整理收纳开发者开源的小项目、工具、框架、游戏等,视频,书籍,面试题/算法题,技术文章。
A curated list of awesome C++ (or C) frameworks, libraries, resources, and shiny things. Inspired by awesome-... stuff.
This is a list of interesting papers and projects about TinyML.
Code for paper "DeepEMD: Few-Shot Image Classification with Differentiable Earth Mover's Distance and Structured Classifiers", CVPR2020
EasyNLP: A Comprehensive and Easy-to-use NLP Toolkit
LightningFSL: Pytorch-Lightning implementations of Few-Shot Learning models.
automatic-verilog based on vimscript
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
This is a list of awesome methods about data augmentation.
Implementation of various self-attention mechanisms focused on computer vision. Ongoing repository.
PyTorch implementations of Generative Adversarial Networks.
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
A curated list of awesome JupyterLab extensions and resources