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Top 23 Python Optimization Projects
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Ray
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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scikit-opt
Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune Algorithm, Artificial Fish Swarm Algorithm, Differential Evolution and TSP(Traveling salesman)
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optimum
🚀 Accelerate training and inference of 🤗 Transformers and 🤗 Diffusers with easy to use hardware optimization tools
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pennylane
PennyLane is a cross-platform Python library for differentiable programming of quantum computers. Train a quantum computer the same way as a neural network.
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pyomo
An object-oriented algebraic modeling language in Python for structured optimization problems.
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rl-baselines3-zoo
A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.
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SaaSHub
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GeneticAlgorithmPython
Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).
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model-optimization
A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.
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vizier
Python-based research interface for blackbox and hyperparameter optimization, based on the internal Google Vizier Service.
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Gradient-Free-Optimizers
Simple and reliable optimization with local, global, population-based and sequential techniques in numerical discrete search spaces.
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rl-baselines-zoo
A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.
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evotorch
Advanced evolutionary computation library built directly on top of PyTorch, created at NNAISENSE.
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ck
Collective Mind (CM) is a small, modular, cross-platform and decentralized workflow automation framework with a human-friendly interface and reusable automation recipes to make it easier to build, run, benchmark and optimize AI, ML and other applications and systems across diverse and continuously changing models, data, software and hardware (by mlcommons)
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SaaSHub
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Project mention: Ray: Unified framework for scaling AI and Python applications | news.ycombinator.com | 2024-05-03
Project mention: FastEmbed: Fast and Lightweight Embedding Generation for Text | dev.to | 2024-02-02Shout out to Huggingface's Optimum – which made it easier to quantize models.
Project mention: PennyLane: Python library for differentiable programming of quantum computers | news.ycombinator.com | 2024-05-07
Project mention: pyomo VS timefold-solver - a user suggested alternative | libhunt.com/r/pyomo | 2024-01-04
Project mention: Can't solve MountainCar-v0 with A2C algorithm (stable-baselines3) | /r/reinforcementlearning | 2023-06-27I'm trying to solve MountainCar-v0 enviroment from gymnasium with the A2C algorithm and the agent doesn't find a solution. I checked this so I added import stable_baselines3.common.sb2_compat.rmsprop_tf_like as RMSpropTFLike. Also checked the rl-baselines3-zoo for the hyperparameter tuning. So my code is:
Hello I'm trying to use this library: pyswarms and it works fine with the base code that they give
Project mention: cvxportfolio: NEW Portfolio Selection and Optimisation - star count:690.0 | /r/algoprojects | 2023-12-10
Project mention: Show HN: A gallery of dev tool marketing examples | news.ycombinator.com | 2023-10-07Hi I am Jakub. I run marketing at a dev tool startup https://neptune.ai/ and I share learnings on dev tool marketing on my blog https://www.developermarkepear.com/.
Whenever I'd start a new marketing project I found myself going over a list of 20+ companies I knew could have done something well to “copy-paste” their approach as a baseline (think Tailscale, DigitalOCean, Vercel, Algolia, CircleCi, Supabase, Posthog, Auth0).
So past year and a half, I’ve been screenshoting examples of how companies that are good at dev marketing do things like pricing, landing page design, ads, videos, blog conversion ideas. And for each example I added a note as to why I thought it was good.
Now, it is ~140 examples organized by tags so you can browse all or get stuff for a particular topic.
Hope it is helpful to some dev tool founders and marketers in here.
wdyt?
Also, I am always looking for new companies/marketing ideas to add to this, so if you’d like to share good examples I’d really appreciate it.
Python Optimization related posts
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PennyLane: Python library for differentiable programming of quantum computers
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pyomo VS timefold-solver - a user suggested alternative
2 projects | 4 Jan 2024 -
cvxportfolio: NEW Portfolio Selection and Optimisation - star count:690.0
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Using Large Language Models for Hyperparameter Optimization, Zhang et al. 2023 [GPT-4 is quite good at finding the optimal hyperparameters for machine learning tasks]
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Show HN: Opvious, a batteries-included optimization platform
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[P] Advice needed for what tool/algorithm is appropriate
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Large Language Models as Optimizers
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A note from our sponsor - SaaSHub
www.saashub.com | 10 May 2024
Index
What are some of the best open-source Optimization projects in Python? This list will help you:
Project | Stars | |
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1 | Ray | 31,322 |
2 | BayesianOptimization | 7,521 |
3 | scikit-opt | 4,955 |
4 | optimum | 2,174 |
5 | pennylane | 2,124 |
6 | pyomo | 1,848 |
7 | rl-baselines3-zoo | 1,791 |
8 | GeneticAlgorithmPython | 1,719 |
9 | MLBox | 1,477 |
10 | model-optimization | 1,470 |
11 | pyswarms | 1,228 |
12 | vizier | 1,174 |
13 | Gradient-Free-Optimizers | 1,108 |
14 | rl-baselines-zoo | 1,106 |
15 | evotorch | 972 |
16 | jaxopt | 891 |
17 | geoopt | 799 |
18 | cvxportfolio | 797 |
19 | evalml | 713 |
20 | opytimizer | 594 |
21 | ck | 580 |
22 | neptune-client | 537 |
23 | MICA | 509 |
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