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Top 17 Python Alignment Projects
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Pandas
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
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Scout Monitoring
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3DDFA_V2
The official PyTorch implementation of Towards Fast, Accurate and Stable 3D Dense Face Alignment, ECCV 2020.
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aeneas
aeneas is a Python/C library and a set of tools to automagically synchronize audio and text (aka forced alignment)
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gangealing
Official PyTorch Implementation of "GAN-Supervised Dense Visual Alignment" (CVPR 2022 Oral, Best Paper Finalist)
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facexlib
FaceXlib aims at providing ready-to-use face-related functions based on current STOA open-source methods.
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InfluxDB
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HALOs
A library with extensible implementations of DPO, KTO, PPO, ORPO, and other human-aware loss functions (HALOs).
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mesh_mesh_align_plus
Precisely align, move, and measure+match objects and mesh parts in your 3D scenes.
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rmsd
Calculate Root-mean-square deviation (RMSD) of two molecules, using rotation, in xyz or pdb format
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subaligner
Automatically synchronize and translate subtitles, or create new ones by transcribing, using pre-trained DNNs, Forced Alignments and Transformers. https://subaligner.readthedocs.io/
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ExpertLLaMA
An opensource ChatBot built with ExpertPrompting which achieves 96% of ChatGPT's capability.
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unsupervisedRR
[CVPR 2021 - Oral] UnsupervisedR&R: Unsupervised Point Cloud Registration via Differentiable Rendering
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
Pandas - A powerful data analysis and manipulation library for Python. Pandas Documentation - Official documentation.
Project mention: The GitHub Black Market That Helps Coders Cheat the Popularity Contest | news.ycombinator.com | 2023-10-23> Another giveaway is the ratio of stars to watchers / forks. I remember one project with thousands of stars but only 10 users "watching" it. They went on to raise a sizable seed round too.
Not necessarily indicative of foul play. I have two projects like this (https://github.com/smacke/ffsubsync and https://github.com/ipyflow/ipyflow) and I attribute it to not having great developer documentation.
Project mention: stable diffusion downloads something from github when making a image | /r/StableDiffusion | 2023-07-22"https://github.com/xinntao/facexlib/releases/download/v0.1.0/detection_Resnet50_Final.pth"
I came across this open source library a few times across Reddit + HN and something that piqued my interest was their concept around "test-driven alignment".
If you are using no-code solutions, increasing an "idea" in a dataset will make that idea more likely to appear.
If you are fine-tuning your own LLM, there are other ways to get your idea to appear. In the literature this is sometimes called RLHF or preference optimization, and here are a few approaches:
Direct Preference Optimization
This uses Elo-scores to learn pairwise preferences. Elo is used in chess and basketball to rank individuals who compete in pairs.
@argilla_io on X.com has been doing some work in evaluating DPO.
Here is a decent thread on this: https://x.com/argilla_io/status/1745057571696693689?s=20
Identity Preference Optimization
IPO is research from Google DeepMind. It removes the reliance of Elo scores to address overfitting issues in DPO.
Paper: https://x.com/kylemarieb/status/1728281581306233036?s=20
Kahneman-Tversky Optimization
KTO is an approach that uses mono preference data. For example, it asks if a response is "good or not." This is helpful for a lot of real word situations (e.g. "Is the restaurant well liked?").
Here is a brief discussion on it:
https://x.com/ralphbrooks/status/1744840033872330938?s=20
Here is more on KTO:
* Paper: https://github.com/ContextualAI/HALOs/blob/main/assets/repor...
* Code: https://github.com/ContextualAI/HALOs
The first, called trajectopy, stands as a full-fledged application featuring a PyQt6-based graphical user interface (GUI). This GUI-driven platform simplifies trajectory-related tasks and offers an intuitive user experience. For those desiring a more in-depth approach, there is trajectopy-core. This backend implementation without any PyQt6 dependencies provides essential functionality e.g. for computing absolute trajectory error (ATE) and relative pose error (RPE).
The first, called trajectopy, stands as a full-fledged application featuring a PyQt6-based graphical user interface (GUI). This GUI-driven platform simplifies trajectory-related tasks and offers an intuitive user experience. For those desiring a more in-depth approach, there is trajectopy-core. This backend implementation without any PyQt6 dependencies provides essential functionality e.g. for computing absolute trajectory error (ATE) and relative pose error (RPE).
Python Alignment discussion
Python Alignment related posts
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PDEP-13: The Pandas Logical Type System
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Pandas reset_index(): How To Reset Indexes in Pandas
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Help Us Build Our Roadmap – Pydantic
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Mastering Pandas read_csv() with Examples - A Tutorial by Codes With Pankaj
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How do people know when to use what programming language?
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stable diffusion downloads something from github when making a image
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Mesh Align Plus 1.0
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A note from our sponsor - InfluxDB
www.influxdata.com | 16 Jun 2024
Index
What are some of the best open-source Alignment projects in Python? This list will help you:
Project | Stars | |
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1 | Pandas | 42,409 |
2 | ffsubsync | 6,583 |
3 | 3DDFA_V2 | 2,808 |
4 | aeneas | 2,379 |
5 | DECA | 2,046 |
6 | gangealing | 1,008 |
7 | facexlib | 777 |
8 | DataDreamer | 704 |
9 | tanuki.py | 644 |
10 | HALOs | 605 |
11 | mesh_mesh_align_plus | 546 |
12 | rmsd | 481 |
13 | subaligner | 424 |
14 | ExpertLLaMA | 289 |
15 | unsupervisedRR | 134 |
16 | trajectopy | 25 |
17 | trajectopy-core | 2 |