GLUE-baselines
GLUE Baseline
An implementation of multi-task learning approaches to learning sentence representations for the GLUE benchmark
[DEPRECATED] Repo for exploring multi-task learning approaches to learning sentence representations
779 stars
27 watching
165 forks
Language: Python
last commit: about 4 years ago
Linked from 1 awesome list
Related projects:
| Repository | Description | Stars |
|---|---|---|
| | Provides a benchmarking framework and dataset for evaluating the performance of large language models in text-to-image tasks | 30 |
| | A dataset and benchmarking framework to evaluate the performance of question answering models on detecting and mitigating social biases. | 92 |
| | A toolkit for natural language processing research enabling multitask learning and transfer learning. | 1,650 |
| | Provides an interface to train and predict with machine learning models using LIBLINEAR | 83 |
| | A benchmarking suite for multimodal in-context learning models | 31 |
| | Extending pretraining models to handle multiple modalities by aligning language and video representations | 751 |
| | Provides Ruby bindings to Stanford Core NLP tools for natural language processing tasks | 433 |
| | Evaluates and compares the performance of multimodal large language models on various tasks | 56 |
| | This is a collection of machine learning algorithms implemented in Python 3.6. | 103 |
| | A package of utilities to simplify interactions with the Common Lisp REPL. | 48 |
| | A comprehensive Common Lisp toolset for natural language processing tasks | 222 |
| | A Common Lisp machine learning library that supports neural networks, Boltzmann machines, and other algorithms. | 593 |
| | Curated collection of papers and articles on data science and machine learning practices in production environments. | 27,407 |
| | Tutorials and resources for learning Common Lisp Machine Learning with CLML. | 31 |
| | A collection of pre-built deep learning models and training scripts for use on Lambda Cloud | 811 |