rasbt / ViT-finetuning-scriptsLinks
Vision transformer finetuning scripts
☆25Updated last year
Alternatives and similar repositories for ViT-finetuning-scripts
Users that are interested in ViT-finetuning-scripts are comparing it to the libraries listed below
Sorting:
- ☆21Updated 3 years ago
- Implementation of CaiT models in TensorFlow and ImageNet-1k checkpoints. Includes code for inference and fine-tuning.☆12Updated 2 years ago
- Code for the DataPipes article☆16Updated 3 years ago
- A complete PyTorch implementation of Google's Gemma3 270M language model, featuring sliding window attention, RoPE positional encoding, a…☆35Updated 3 weeks ago
- A collection of hand on notebook for LLMs practitioner☆50Updated 8 months ago
- Outlining techniques for improving the training performance of your PyTorch model without compromising its accuracy☆129Updated 2 years ago
- Build fast gradio demos of fastai learners☆35Updated 4 years ago
- This repository holds files and scripts for incorporating simple CI/CD practices for model training in ML.☆21Updated 3 years ago
- This repository shows various ways of deploying a vision model (TensorFlow) from 🤗 Transformers.☆30Updated 3 years ago
- Table detection with Florence.☆15Updated last year
- ☆59Updated last year
- Building LLMs from scratch following the book from S. Raschka☆32Updated 6 months ago
- Seemless interface of using PyTOrch distributed with Jupyter notebooks☆50Updated 2 weeks ago
- ML/DL Math and Method notes☆63Updated last year
- Scripts to convert datasets from various sources to Hugging Face Datasets.☆57Updated 2 years ago
- Contains Colab Notebooks show cool use-cases of different GCP ML APIs.☆10Updated 4 years ago
- ☆29Updated 2 years ago
- A miniture AI training framework for PyTorch☆42Updated 8 months ago
- zero-to-lightning☆31Updated last year
- Cyclemoid implementation for PyTorch☆90Updated 3 years ago
- This code repository contains the code used for my "Optimizing Memory Usage for Training LLMs and Vision Transformers in PyTorch" blog po…☆92Updated 2 years ago
- Learn how to monitor ML systems to identify and mitigate sources of drift before model performance decay.☆92Updated 3 years ago
- Learn how to create reliable ML systems by testing code, data and models.☆89Updated 3 years ago
- Materials for workshops on the Hugging Face ecosystem☆150Updated 2 years ago
- ☆26Updated 3 years ago
- Notebooks demonstrating example applications of the cleanlab library☆129Updated 9 months ago
- Reference code base for ML Engineering in Action, Manning Publications Author: Ben Wilson☆20Updated last year
- ☆134Updated last year
- [WIP] A 🔥 interface for running code in the cloud☆85Updated 2 years ago
- 🤗 Disaggregators: Curated data labelers for in-depth analysis.☆67Updated 2 years ago