SGDepth VS jiant

Compare SGDepth vs jiant and see what are their differences.

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SGDepth jiant
- 2
194 1,610
0.0% 0.6%
1.8 0.0
about 3 years ago 10 months ago
Python Python
MIT License MIT License
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.

SGDepth

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

We haven't tracked posts mentioning SGDepth yet.
Tracking mentions began in Dec 2020.

jiant

Posts with mentions or reviews of jiant. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-06-11.

What are some alternatives?

When comparing SGDepth and jiant you can also consider the following projects:

deep-video-mvs - Code for "DeepVideoMVS: Multi-View Stereo on Video with Recurrent Spatio-Temporal Fusion" (CVPR 2021)

kiri - Backprop makes it simple to use, finetune, and deploy state-of-the-art ML models.

merged_depth - Monocular Depth Estimation - Weighted-average prediction from multiple pre-trained depth estimation models

allennlp - An open-source NLP research library, built on PyTorch.

YOLOP - You Only Look Once for Panopitic Driving Perception.(MIR2022οΌ‰

bertviz - BertViz: Visualize Attention in NLP Models (BERT, GPT2, BART, etc.)

OpenSeeFace - Robust realtime face and facial landmark tracking on CPU with Unity integration

haystack - :mag: LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.

PaddleNLP - πŸ‘‘ Easy-to-use and powerful NLP and LLM library with πŸ€— Awesome model zoo, supporting wide-range of NLP tasks from research to industrial applications, including πŸ—‚Text Classification, πŸ” Neural Search, ❓ Question Answering, ℹ️ Information Extraction, πŸ“„ Document Intelligence, πŸ’Œ Sentiment Analysis etc.