browser-ml-inference VS clip-italian

Compare browser-ml-inference vs clip-italian and see what are their differences.

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browser-ml-inference clip-italian
1 1
294 171
- 1.2%
0.0 2.0
over 1 year ago 12 months ago
Jupyter Notebook Jupyter Notebook
Apache License 2.0 -
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

browser-ml-inference

Posts with mentions or reviews of browser-ml-inference. We have used some of these posts to build our list of alternatives and similar projects.

clip-italian

Posts with mentions or reviews of clip-italian. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing browser-ml-inference and clip-italian you can also consider the following projects:

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.

Basic-UI-for-GPT-J-6B-with-low-vram - A repository to run gpt-j-6b on low vram machines (4.2 gb minimum vram for 2000 token context, 3.5 gb for 1000 token context). Model loading takes 12gb free ram.

multi-label-sentiment-classifier - How to build a multi-label sentiment classifiers with Tez and PyTorch

clip-retrieval - Easily compute clip embeddings and build a clip retrieval system with them

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

Transformer-MM-Explainability - [ICCV 2021- Oral] Official PyTorch implementation for Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers, a novel method to visualize any Transformer-based network. Including examples for DETR, VQA.

anime-or-not - NLP model that determines whether a plot is anime enough

TargetCLIP - [ECCV 2022] Official PyTorch implementation of the paper Image-Based CLIP-Guided Essence Transfer.

predict-subreddit - NLP model that predicts subreddit based on the title of a post

converse - Conversational text Analysis using various NLP techniques

nlp - Repository for all things Natural Language Processing