microsoft / CASPRLinks
CASPR is a deep learning framework applying transformer architecture to learn and predict from tabular data at scale.
☆40Updated 2 years ago
Alternatives and similar repositories for CASPR
Users that are interested in CASPR are comparing it to the libraries listed below
Sorting:
- ☆17Updated last year
- machine learning model performance metrics & charts with confidence intervals, optimized with numba to be fast☆16Updated 4 years ago
- Developing tools to automatically analyze datasets☆75Updated last year
- DALLE-tools provided useful dataset utilities to improve you workflow with WebDatasets.☆15Updated 3 years ago
- **ARCHIVED** Filesystem interface to 🤗 Hub☆59Updated 2 years ago
- ☆59Updated last year
- API Client for paperswithcode.com☆188Updated last year
- Library for the Test-based Calibration Error (TCE) metric to quantify the degree to classifier calibration.☆13Updated 2 years ago
- ☆42Updated 3 years ago
- 🤗 Disaggregators: Curated data labelers for in-depth analysis.☆67Updated 2 years ago
- ☆27Updated 2 years ago
- ☆17Updated 3 years ago
- Codes for paper "KNAS: Green Neural Architecture Search"☆93Updated 4 years ago
- Visualize multi-model embedding spaces. The first goal is to quickly get a lay of the land of any embedding space. Then be able to scroll…☆27Updated last year
- ☆39Updated 3 years ago
- PAL: Predictive Analysis & Laws of Large Language Models☆38Updated last year
- ☆172Updated 11 months ago
- [WIP] A 🔥 interface for running code in the cloud☆86Updated 2 years ago
- This is a new metric that can be used to evaluate faithfulness of text generated by LLMs. The work behind this repository can be found he…☆31Updated 2 years ago
- Implementation of TableFormer, Robust Transformer Modeling for Table-Text Encoding, in Pytorch☆39Updated 3 years ago
- Repository containing awesome resources regarding Hugging Face tooling.☆48Updated 2 years ago
- ☆15Updated 4 years ago
- ☆31Updated 2 weeks ago
- Code for paper: "Privately generating tabular data using language models".☆15Updated 2 years ago
- A dashboard for exploring timm learning rate schedulers☆19Updated last year
- Finetune any model on HF in less than 30 seconds☆56Updated last week
- Outlining techniques for improving the training performance of your PyTorch model without compromising its accuracy☆128Updated 2 years ago
- Hyperparameter tuning via uncertainty modeling☆49Updated last year
- Benchmarking algorithms for assessing quality of data labeled by multiple annotators☆34Updated 2 months ago
- Simple script to re-rank images using OpenAI's CLIP https://github.com/openai/CLIP.☆15Updated 4 years ago