Alternatives and similar repositories for efficientnet-pytorch:

Users that are interested in efficientnet-pytorch are comparing it to the libraries listed below

• BobMcDear / neural-network-cuda
  Neural network from scratch in CUDA/C++
  ☆76Updated last month
• BobMcDear / vit-pytorch
  PyTorch implementation of the vision transformer
  ☆18Updated last year
• BobMcDear / simsiam-pytorch
  PyTorch implementation of SimSiam
  ☆8Updated 2 years ago
• KellerJordan / cifar10-airbench
  CIFAR-10 speedruns: 94% in 2.6 seconds and 96% in 27 seconds
  ☆205Updated this week
• ehuynh1106 / TinyImageNet-Transformers
  Transformers trained on Tiny ImageNet
  ☆52Updated 2 years ago
• nblt / F-SAM
  [CVPR 2024] Friendly Sharpness-Aware Minimization
  ☆27Updated 3 months ago
• Deeplite / deeplite-torch-zoo
  Collection of SOTA efficient computer vision models for embedded applications, with pre-trained weights and training recipes
  ☆88Updated this week
• tintn / vision-transformer-from-scratch
  A Simplified PyTorch Implementation of Vision Transformer (ViT)
  ☆163Updated 8 months ago
• jeonsworld / MLP-Mixer-Pytorch
  Pytorch reimplementation of the Mixer (MLP-Mixer: An all-MLP Architecture for Vision)
  ☆32Updated 3 years ago
• andravin / spio
  Efficient CUDA kernels for training convolutional neural networks with PyTorch.
  ☆39Updated 3 weeks ago
• hkproj / triton-flash-attention
  ☆128Updated last month
• s-chh / PyTorch-Scratch-Vision-Transformer-ViT
  Simple and easy to understand PyTorch implementation of Vision Transformer (ViT) from scratch, with detailed steps. Tested on common data…
  ☆129Updated last month
• VITA-Group / SLaK
  [ICLR 2023] "More ConvNets in the 2020s: Scaling up Kernels Beyond 51x51 using Sparsity"; [ICML 2023] "Are Large Kernels Better Teachers…
  ☆264Updated last year
• devansh20la / LPF-SGD
  ☆16Updated 2 years ago
• MingSun-Tse / Awesome-Efficient-ViT
  Recent Advances on Efficient Vision Transformers
  ☆49Updated 2 years ago
• bwconrad / vit-finetune
  Fine-tuning Vision Transformers on various classification datasets
  ☆103Updated 5 months ago
• pytorch-labs / float8_experimental
  This repository contains the experimental PyTorch native float8 training UX
  ☆221Updated 6 months ago
• linjames0 / Transformer-CUDA
  An implementation of the transformer architecture onto an Nvidia CUDA kernel
  ☆169Updated last year
• locuslab / convmixer-cifar10
  Simple CIFAR-10 classification with ConvMixer
  ☆43Updated 3 years ago
• hananshafi / vits-for-small-scale-datasets
  [BMVC 2022] Official repository for "How to Train Vision Transformer on Small-scale Datasets?"
  ☆147Updated last year
• gpu-mode / triton-index
  Cataloging released Triton kernels.
  ☆168Updated last month
• IntelLabs / Model-Compression-Research-Package
  A library for researching neural networks compression and acceleration methods.
  ☆140Updated 5 months ago
• sayakpaul / FunMatch-Distillation
  TF2 implementation of knowledge distillation using the "function matching" hypothesis from https://arxiv.org/abs/2106.05237.
  ☆87Updated 3 years ago
• NVIDIA-AI-IOT / jetson-intro-to-distillation
  A tutorial introducing knowledge distillation as an optimization technique for deployment on NVIDIA Jetson
  ☆171Updated last year
• hkproj / quantization-notes
  Notes on quantization in neural networks
  ☆70Updated last year
• johnma2006 / candle
  Deep learning library implemented from scratch in numpy. Mixtral, Mamba, LLaMA, GPT, ResNet, and other experiments.
  ☆51Updated 10 months ago
• elliotwaite / pytorch-hooks-tutorial
  Examples of using PyTorch hooks, as covered in my YouTube tutorial video.
  ☆33Updated last year
• LukasHedegaard / pytorch-benchmark
  Easily benchmark PyTorch model FLOPs, latency, throughput, allocated gpu memory and energy consumption
  ☆98Updated last year
• BobMcDear / attorch
  A subset of PyTorch's neural network modules, written in Python using OpenAI's Triton.
  ☆514Updated this week
• Qualcomm-AI-research / llm-surgeon
  ☆27Updated 8 months ago