geoopt
Ray
geoopt | Ray | |
---|---|---|
2 | 44 | |
811 | 31,718 | |
2.2% | 1.9% | |
4.3 | 10.0 | |
about 2 months ago | 2 days ago | |
Python | Python | |
GNU General Public License v3.0 or later | Apache License 2.0 |
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geoopt
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A walk through of the functions used in "A Universal Model for Hyperbolic, Euclidean and Spherical Geometries" (the κ-Stereographic Model)
Looking at geoopt/manifolds/stereographic/math.py and trying to learn about hyperbolic geometry as I go, wondering if you could add some commentary to the functions. If anyone is in the mood to teach, I am all ears :). I can prompt with some questions, hopefully that will help clarify what is confusing or hard to understand for a newcomer.
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Introducing Hyperlib: Simple Deep learning in Hyperbolic space [project]
Can you expand on this? What other toolkits already exist and how does yours solve the problems you saw in those frameworks? For example, maybe compare with https://github.com/geoopt/geoopt for one?
Ray
- Comparison: Dask vs. Ray
- Ray: Unified framework for scaling AI and Python applications
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Open Source Advent Fun Wraps Up!
22. Ray | Github | tutorial
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Fine-Tuning Llama-2: A Comprehensive Case Study for Tailoring Custom Models
Training times for GSM8k are mentioned here: https://github.com/ray-project/ray/tree/master/doc/source/te...
- Ray – an open source project for scaling AI workloads
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Methods to keep agents inside grid world.
Here's a reference from RLlib that points to docs and an example, and here's one from one of my projects that includes all my own implementations
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TransformerXL + PPO Baseline + MemoryGym
RLlib
- Is dynamic action masking possible in Rllib?
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AWS re:Invent 2022 Recap | Data & Analytics services
⦿ AWS Glue Data Quality - Automatic data quality rule recommendations based on your data AWS Glue for Ray - Data integration with Ray (ray.io), a popular new open-source compute framework that helps you scale Python workloads
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Think about it for a second
https://ray.io (just dropping the link)
What are some alternatives?
hyperlib - Library that contains implementations of machine learning components in the hyperbolic space
optuna - A hyperparameter optimization framework
stable-baselines3 - PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
Faust - Python Stream Processing
gevent - Coroutine-based concurrency library for Python
stable-baselines - A fork of OpenAI Baselines, implementations of reinforcement learning algorithms
SCOOP (Scalable COncurrent Operations in Python) - SCOOP (Scalable COncurrent Operations in Python)
Thespian Actor Library - Python Actor concurrency library
Dask - Parallel computing with task scheduling
django-celery - Old Celery integration project for Django
pymarl - Python Multi-Agent Reinforcement Learning framework
ElegantRL - Massively Parallel Deep Reinforcement Learning. 🔥