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Top 23 Python Research Projects
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qlib
Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas to implementing productions. Qlib supports diverse machine learning modeling paradigms. including supervised learning, market dynamics modeling, and RL.
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mlfinlab
MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.
Project mention: mlfinlab: open source library maintained by hudson and thames though much of the content has moved to a subscription model. Idea is to implement academic research in python code and aggregate it as a package. Sources from [Journal of financial data s | /r/algoprojects | 2022-11-13 -
InfluxDB
Collect and Analyze Billions of Data Points in Real Time. Manage all types of time series data in a single, purpose-built database. Run at any scale in any environment in the cloud, on-premises, or at the edge.
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Project mention: Looking for recommendations for academic papers in the computer science domain | /r/learnprogramming | 2022-11-15
https://github.com/facundoolano/software-papers has some interesting papers on software engineering
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Project mention: Fast and hackable frameworks for RL research | /r/reinforcementlearning | 2023-03-08
I'm tired of having my 200m frames of Atari take 5 days to run with dopamine, so I'm looking for another framework to use. I haven't been able to find one that's fast and hackable, preferably distributed or with vectorized environments. Anybody have suggestions? seed-rl seems promising but is archived (and in TF2). sample-factory seems super fast but to the best of my knowledge doesn't work with replay buffers. I've been trying to get acme working but documentation is sparse and many of the features are broken.
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Project mention: Vid2Seq: A pretrained visual language model for describing multi-event videos | news.ycombinator.com | 2023-03-17
Anyone figured out how to run this against a video?
https://github.com/google-research/scenic/tree/main/scenic/p... has an example showing how to "train Vid2Seq on YouCook2" using "python -m scenic.projects.vid2seq.main", but I couldn't see the recipe for using it against a video to return a description.
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habitat-lab
A modular high-level library to train embodied AI agents across a variety of tasks and environments.
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Mergify
Updating dependencies is time-consuming.. Solutions like Dependabot or Renovate update but don't merge dependencies. You need to do it manually while it could be fully automated! Add a Merge Queue to your workflow and stop caring about PR management & merging. Try Mergify for free.
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PyGame-Learning-Environment
PyGame Learning Environment (PLE) -- Reinforcement Learning Environment in Python.
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In fact, they found that just reinforce gradients work in DM control now too: Dreamerv2 GitHub (they just needed to turn off gradients through the action path - which I guess was being passed back with straight-through estimation? I'm actually having a difficult time telling how the gradient is different on the action vs policy.log_prob(action)).
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pybossa
PYBOSSA is the ultimate crowdsourcing framework (aka microtasking) to analyze or enrich data that can't be processed by machines alone.
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Yea, after all these LLMs are predicting one sequence of tokens from another sequence of tokens and the tokens could be anything, it just "happens" that text has the most knowledge and the easiest to input, then there are image, sound, video, but tokens could also be learned from world experience in RL:
Transformers are Sample-Efficient World Models:
https://github.com/eloialonso/iris#transformers-are-sample-e...
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Mava
🦁 A research-friendly codebase for fast experimentation of multi-agent reinforcement learning in JAX
Project mention: Starting wth Multi Agent Reinforcement Learning | /r/reinforcementlearning | 2023-04-29If you want to play with models and algorithms around MARL, take a look at Mava.
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Project mention: How do I run this code from Papers in 100 lines of code? | /r/NeuralRadianceFields | 2023-09-22
I wanted to try the some code written by Maxime Vandegar https://github.com/MaximeVandegar/Papers-in-100-Lines-of-Code/tree/main/KiloNeRF_Speeding_up_Neural_Radiance_Fields_with_Thousands_of_Tiny_MLPs
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stable-baselines3-contrib
Contrib package for Stable-Baselines3 - Experimental reinforcement learning (RL) code
Here's a theoretical overview and an implementation of action masking for PPO.
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Project mention: Hilo Semanal de Consultas IT - Asesoría Técnica, Desarrollo Profesional y Aprendizaje | /r/chileIT | 2023-06-28
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tabular-dl-num-embeddings
(NeurIPS 2022) On Embeddings for Numerical Features in Tabular Deep Learning
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Sonar
Write Clean Python Code. Always.. Sonar helps you commit clean code every time. With over 225 unique rules to find Python bugs, code smells & vulnerabilities, Sonar finds the issues while you focus on the work.
NOTE:
The open source projects on this list are ordered by number of github stars.
The number of mentions indicates repo mentiontions in the last 12 Months or
since we started tracking (Dec 2020).
The latest post mention was on 2023-09-26.
Python Research related posts
- How do I run this code from Papers in 100 lines of code?
- [R] New Tabular DL model: "TabR: Unlocking the Power of Retrieval-Augmented Tabular Deep Learning"
- Next big Eth upgrade
- Starting wth Multi Agent Reinforcement Learning
- Vid2Seq: A pretrained visual language model for describing multi-event videos
- [D] SE for machine learning reaserch
- How much of a MuJoCo simulation or real life robot can you train on a 3090?
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A note from our sponsor - Sonar
www.sonarsource.com | 28 Sep 2023
Index
What are some of the best open-source Research projects in Python? This list will help you:
| Project | Stars | |
|---|---|---|
| 1 | qlib | 12,452 |
| 2 | mlfinlab | 3,559 |
| 3 | software-papers | 3,524 |
| 4 | acme | 3,192 |
| 5 | lingvo | 2,755 |
| 6 | scenic | 2,508 |
| 7 | habitat-lab | 1,246 |
| 8 | yacs | 1,160 |
| 9 | PyGame-Learning-Environment | 960 |
| 10 | dreamerv2 | 788 |
| 11 | pybossa | 727 |
| 12 | rtdl | 694 |
| 13 | iris | 682 |
| 14 | rwa | 602 |
| 15 | nn-template | 584 |
| 16 | holodeck | 555 |
| 17 | Mava | 549 |
| 18 | asreview | 484 |
| 19 | Papers-in-100-Lines-of-Code | 376 |
| 20 | stable-baselines3-contrib | 334 |
| 21 | pathml | 313 |
| 22 | orion | 265 |
| 23 | tabular-dl-num-embeddings | 190 |
Write Clean Python Code. Always.
Sonar helps you commit clean code every time. With over 225 unique rules to find Python bugs, code smells & vulnerabilities, Sonar finds the issues while you focus on the work.
www.sonarsource.com