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Encord Active Alternatives
Similar projects and alternatives to Encord Active based on common topics and language
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segment-anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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cleanlab
The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
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awesome-open-data-centric-ai
Curated list of open source tooling for data-centric AI on unstructured data.
NOTE:
The number of mentions on this list indicates mentions on common posts plus user suggested alternatives.
Hence, a higher number means a better Encord Active alternative or higher similarity.
Encord Active reviews and mentions
Posts with mentions or reviews of Encord Active.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-01-31.
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Launch HN: Encord (YC W21) – Unit testing for computer vision models
We base our pricing on your user and consumption scale and would be happy to discuss this with you directly. Please feel free to explore the OS version of Active at https://github.com/encord-team/encord-active. Note that some features, such as natural language search using GPU accelerated APIs, are not included in the cloud version.
- We tried injecting hallucinogenics into vision models
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How to Fine-Tune Foundation Models to Auto-Label Training Data
Webinar from last week on how to fine-tune VFMs, specifically Meta's Segment Anything Model (SAM).
What you'll need to follow along the fine-tuning walkthrough:
Images, ground-truth masks, and optionally, prompts from the Stamp Verification (StaVer) Dataset on Kaggle (https://www.kaggle.com/datasets/rtatman/stamp-verification-s...)
Download the model weights for SAM the official GitHub repo (https://github.com/facebookresearch/segment-anything)
Good understanding of the model architecture Segment Anything paper (https://ai.meta.com/research/publications/segment-anything/)
GPU infra the NVIDIA A100 should do for this fine-tuning.
Data curation and model evaluation tool Encord Active (https://github.com/encord-team/encord-active)
Colab walkthrough for fine-tuning: https://colab.research.google.com/github/encord-team/encord-...
I'd love to get your thoughts and feedback. Thank you.
- Show HN: Open-source toolkit for ML model evaluation and active learning
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modAL VS encord-active - a user suggested alternative
2 projects | 12 Apr 2023
An active learning toolkit I use to find failure modes in my vision datasets, prioritize which data to label next using the different acquisition functions.
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A note from our sponsor - SaaSHub
www.saashub.com | 24 Apr 2024
Stats
Basic Encord Active repo stats
6
420
9.1
21 days ago
encord-team/encord-active is an open source project licensed under Apache License 2.0 which is an OSI approved license.
Encord Active is marked as "self-hosted". This means that it can be used as a standalone application on its own.
The primary programming language of Encord Active is Python.
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