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deap

Appears in 7 awesome lists

Evolutionary computation framework (Genetic Algorithm, Evolution strategies). evol - DSL for composable evolutionary algorithms, talk. platypus - Multiobjective optimization. autograd - Efficiently computes derivatives of numpy code. nevergrad - Derivation-free optimization. gplearn - Sklearn-like…

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Found in these lists

Awesome Machine Learning

Section: Python · Evolutionary algorithm framework.

FreshScore 93

Awesome Production Machine Learning

Section: Computation and Communication Optimisation · A novel evolutionary computation framework for rapid prototyping and testing of ideas. It seeks to make algorithms explicit and data structures transparent. It works in perfect harmony with parallelisation mechanisms such as multiprocessing and SCOOP.

FreshScore 92

Awesome Python Data Science

Section: Genetic Programming · Distributed Evolutionary Algorithms in Python.

ActiveScore 71

Awesome Robotic Tooling

Section: Machine Learning · Distributed Evolutionary Algorithms in Python.

StaleScore 54

Awesome Data Science with Python

Section: General · Evolutionary computation framework (Genetic Algorithm, Evolution strategies). evol - DSL for composable evolutionary algorithms, talk. platypus - Multiobjective optimization. autograd - Efficiently computes derivatives of numpy code. nevergrad - Derivation-free optimization. gplearn - Sklearn-like…

FreshScore 82

awesome-python

Section: Scientific Computing · Distributed Evolutionary Algorithms in Python

FreshScore 81

Awesome Systematic Trading

Section: Fundamental libraries · |Python| - Distributed Evolutionary Algorithms in Python

FreshScore 89

TensorFlow

How to use the Hexagon Delegate to speed up model inference on mobile and edge devices. Also see blog post Accelerating TensorFlow Lite on Qualcomm Hexagon DSPs.

In 23 listsDetails

PyTorch

(label: good first issue) PyTorch is an open source machine learning library based on the Torch library, used for applications such as computer vision and natural language processing.

In 16 listsDetails

Opik

Comet's open-source AI observability and evaluation platform: deep tracing of LLM calls, conversation logging, and agent activity, plus built-in eval metrics, prompt versioning, guardrails, and the Opik Agent Optimizer. Worth including because it unifies observability, verification, and…

In 16 listsDetails

transformers

(formerly known as pytorch-transformers and pytorch-pretrained-bert) provides state-of-the-art general-purpose architectures (BERT, GPT-2, RoBERTa, XLM, DistilBert, XLNet, CTRL...) for Natural Language Understanding (NLU) and Natural Language Generation (NLG) with over 32+ pretrained models in…

In 14 listsDetails

Colossal-AI

(from Hpcaitech) - A Unified Deep Learning System for Large-Scale Parallel Training (1D, 2D, 2.5D, 3D and sequence parallelism, and ZeRO protocol).

In 14 listsDetails

Ray

A fast and simple framework for building and running distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library. ray.io

In 13 listsDetails

Haystack

Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search,…

In 13 listsDetails

XGBoost

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow. [Apache2]

In 11 listsDetails