dcato98 / fastsparseLinks
Fastai+PyTorch implementation of sparse model training methods (SET, SNFS, RigL) + customize-your-own.
☆10Updated 2 years ago
Alternatives and similar repositories for fastsparse
Users that are interested in fastsparse are comparing it to the libraries listed below
Sorting:
- (unofficial) - customized fork of DETR, optimized for intelligent obj detection on 'real world' custom datasets☆12Updated 4 years ago
- Team [Save the Prostate] - solution☆18Updated 4 years ago
- Shows how to do parameter ensembling using differential evolution.☆10Updated 3 years ago
- Official PyTorch code for U-Noise: Learnable Noise Masks for Interpretable Image Segmentation (ICIP 2021)☆41Updated 3 years ago
- An open source implementation of CLIP.☆32Updated 2 years ago
- A fastai-free onnx implementation for fastai☆12Updated 2 years ago
- Large dataset storage format for Pytorch☆45Updated 3 years ago
- Implementation of Kronecker Attention in Pytorch☆19Updated 4 years ago
- Implementation of the Remixer Block from the Remixer paper, in Pytorch☆36Updated 3 years ago
- We investigated corruption robustness across different architectures including Convolutional Neural Networks, Vision Transformers, and th…☆16Updated 3 years ago
- Implementation of a Transformer using ReLA (Rectified Linear Attention) from https://arxiv.org/abs/2104.07012☆49Updated 3 years ago
- This repository hosts the code to port NumPy model weights of BiT-ResNets to TensorFlow SavedModel format.☆14Updated 3 years ago
- Experiments with the ideas presented in https://arxiv.org/abs/2003.00152 by Frankle et al.☆29Updated 4 years ago
- ☆15Updated 3 years ago
- Includes additional materials for the following keras.io blog post.☆12Updated 4 years ago
- Comparing four automatic image augmentation techniques in PyTorch: AutoAugment, RandAugment, AugMix, and TrivialAugment☆30Updated 2 years ago
- Load any clip model with a standardized interface☆21Updated last year
- Lightweight knowledge distillation pipeline☆28Updated 3 years ago
- A minimal TPU compatible Jax implementation of NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis.☆13Updated 3 years ago
- PyTorch reimplementation of the paper "HyperMixer: An MLP-based Green AI Alternative to Transformers" [arXiv 2022].☆17Updated 3 years ago
- Implements EvoNorms B0 and S0 as proposed in Evolving Normalization-Activation Layers.☆11Updated 5 years ago
- Contains my experiments with the `big_vision` repo to train ViTs on ImageNet-1k.☆22Updated 2 years ago
- Universal Python binding for the LMDB 'Lightning' Database☆13Updated 7 years ago
- Neural Arithmetic Logic Units by Trask et al.☆12Updated 6 years ago
- reproduces experiments from "Grounding inductive biases in natural images: invariance stems from variations in data"☆17Updated 9 months ago
- Official implementation for "Minimax Active Learning" in PyTorch.☆9Updated 4 years ago
- State-of-the-art data augmentation search algorithms in PyTorch☆46Updated last year
- Tensorflow 2.x implementation of Gradient Origin Networks☆12Updated 5 years ago
- The implementation of paper ''Efficient Attention Network: Accelerate Attention by Searching Where to Plug''.☆20Updated 2 years ago
- This repository hosts code for converting the original Vision Transformer models (JAX) to TensorFlow.☆33Updated 3 years ago