keypoint_rcnn_training_pytorch
ludwig
| keypoint_rcnn_training_pytorch | ludwig | |
|---|---|---|
| 1 | 3 | |
| 74 | 10,859 | |
| - | 1.3% | |
| 0.0 | 9.5 | |
| about 1 year ago | 6 days ago | |
| Python | Python | |
| MIT License | Apache License 2.0 |
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keypoint_rcnn_training_pytorch
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Load Keypoint Detection Problem
The first one (https://github.com/alexppppp/keypoint_rcnn_training_pytorch), the result that is obtained from models using PyTorch looks like this:
ludwig
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Show HN: Toolkit for LLM Fine-Tuning, Ablating and Testing
This is a great project, little bit similar to https://github.com/ludwig-ai/ludwig, but it includes testing capabilities and ablation.
questions regarding the LLM testing aspect: How extensive is the test coverage for LLM use cases, and what is the current state of this project area? Do you offer any guarantees, or is it considered an open-ended problem?
Would love to see more progress toward this area!
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Python projects with best practices on Github?
Two random examples I found from 30 seconds of googling: Here’s Netflix using it in their crisis management tool, and here’s Uber using it in their deep learning framework.
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Most Frequent 600 Coding Questions on LeetCode
They list themselves all over the internet as an "open source contributor" to Uber, which as far I can tell is based entirely on... reporting that there was an issue with a favicon. To me, it seems like they'll be cheating anybody who employs them based on this, ahem, "experience". And that feels like the tip of the iceberg.
What are some alternatives?
awesome-hand-pose-estimation - Awesome work on hand pose estimation/tracking
nlp-recipes - Natural Language Processing Best Practices & Examples
HDF5ImageMarker - Utility to making datasets of images and points coordinates that have been marked up on these images by user
data-structures-and-algorithms - Resources that I used to crack some big tech & startups interviews
LOTICv2 - LOTIC machine learning code made for use with Nvidia Xavier NX and YOLO object detection models
aimet - AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.
sahi - Framework agnostic sliced/tiled inference + interactive ui + error analysis plots
Robo-Semantic-Segmentation - Just a simple semantic segmentation library that I developed to speed up the image segmentation pipeline
clip-as-service - 🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP
ai-deadlines - :alarm_clock: AI conference deadline countdowns
Python_Storage_Tracker - Py Storage Tracker is a cross-platform command line tool using Python to track storage and other system related information.
autonlp - 🤗 AutoNLP: train state-of-the-art natural language processing models and deploy them in a scalable environment automatically