bert-sklearn VS OpenAI-CLIP

What are some alternatives?

bert - TensorFlow code and pre-trained models for BERT

emotion-classifier - An attention-based BiLSTM for emotion classification.

kruk - Ukrainian instruction-tuned language models and datasets

CodeSearchNet - Datasets, tools, and benchmarks for representation learning of code.

NLU-engine-prototype-benchmarks - Demo and benchmarks for building an NLU engine similar to those in voice assistants. Several intent classifiers are implemented and benchmarked. Conditional Random Fields (CRFs) are used for entity extraction.

beir - A Heterogeneous Benchmark for Information Retrieval. Easy to use, evaluate your models across 15+ diverse IR datasets.

fake-news - Building a fake news detector from initial ideation to model deployment

pytorch-sentiment-analysis - Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

ABSA_Project_4 - This project takes advantange of the parsing and part of speech tagging capabilites of Spacy's pipeline in order to extract aspect/opinion/sentiment triplets. Cluster aspects using unsupervised learning to process sentiment for large amazon review datasets.

adaptnlp - An easy to use Natural Language Processing library and framework for predicting, training, fine-tuning, and serving up state-of-the-art NLP models.

tf-transformers - State of the art faster Transformer with Tensorflow 2.0 ( NLP, Computer Vision, Audio ).

HugsVision - HugsVision is a easy to use huggingface wrapper for state-of-the-art computer vision