Rishit-dagli / Transformer-in-TransformerLinks
An Implementation of Transformer in Transformer in TensorFlow for image classification, attention inside local patches
☆43Updated 3 years ago
Alternatives and similar repositories for Transformer-in-Transformer
Users that are interested in Transformer-in-Transformer are comparing it to the libraries listed below
Sorting:
- An attempt at the implementation of GLOM, Geoffrey Hinton's paper for emergent part-whole hierarchies from data☆37Updated 4 years ago
- ☆18Updated 3 years ago
- Shows how to do parameter ensembling using differential evolution.☆10Updated 3 years ago
- This repository hosts the code to port NumPy model weights of BiT-ResNets to TensorFlow SavedModel format.☆14Updated 3 years ago
- A minimal TPU compatible Jax implementation of NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis.☆13Updated 3 years ago
- This repository hosts code for converting the original MLP Mixer models (JAX) to TensorFlow.☆15Updated 3 years ago
- Transformer block in tf.keras similar to PyTorch's nn.Transformer block.☆9Updated 4 years ago
- convert a scikit-learn decision tree into a Keras model☆39Updated last year
- An implementation of the Nyströmformer, using Nystrom method to approximate standard self attention☆56Updated 2 years ago
- Implements EvoNorms B0 and S0 as proposed in Evolving Normalization-Activation Layers.☆11Updated 5 years ago
- This project presents a simple framework to retrieve images similar to a query image.☆28Updated 4 years ago
- Contains Colab Notebooks show cool use-cases of different GCP ML APIs.☆10Updated 4 years ago
- Build fast gradio demos of fastai learners☆35Updated 3 years ago
- Set of games and simulations designed to experiment with QLearning, Neuroevolution, and PoseNet.☆41Updated last year
- Notebooks for Fastai Viusal Guide☆25Updated 2 years ago
- ☆16Updated 2 years ago
- This repository hosts code for converting the original Vision Transformer models (JAX) to TensorFlow.☆33Updated 3 years ago
- ☆39Updated 2 years ago
- Implementation of CaiT models in TensorFlow and ImageNet-1k checkpoints. Includes code for inference and fine-tuning.☆12Updated 2 years ago
- Large dataset storage format for Pytorch☆45Updated 3 years ago
- Minimal implementation of PAWS (https://arxiv.org/abs/2104.13963) in TensorFlow.☆45Updated 4 years ago
- ☆20Updated 3 years ago
- machine learning model performance metrics & charts with confidence intervals, optimized with numba to be fast☆16Updated 3 years ago
- A minimal Python kernel so you can run Python in your Python☆39Updated 3 years ago
- A neural network hyper parameter tuner☆30Updated last year
- Test prompts for GPT-J-6B and the resulting AI-generated texts☆53Updated 4 years ago
- Flow-based visual scripting for Python including a machine learning package☆18Updated 4 years ago
- Personal site of Sayak Paul. Deployed here 👉☆24Updated last week
- A Machine Learning tool to create the training dataset very quickly & easily by using a smart chrome extension☆14Updated 2 years ago
- Visual Clustering: Clustering Plotted Data by Image Segmentation☆25Updated 3 months ago