philippkiesling

philippkiesling

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cw2

ClusterWork 2

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bc_irp

Inventory-routing problem (IRP) branch-and-cut algorithm using C++ Gurobi's API and CVRPSEP package

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awesome-layers

λ A curated list of awesome AWS Lambda Layers. Sponsored by https://cloudash.dev

License:GPL-3.0Stargazers:2151Issues:0Issues:0

linkit_hand_gesture_recognition

Linkit - Intermediate Challenge​

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partner-api-spec

GetYourGuide Partner API OpenAPI Specifications

License:Apache-2.0Stargazers:11Issues:0Issues:0

llama

Inference code for Llama models

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stable-baselines3-contrib-maskable-recurrent-ppo

Combination of Maskable PPO and Recurrent PPO based on the sb3-contrib repository

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surrealdb

A scalable, distributed, collaborative, document-graph database, for the realtime web

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tox-conda

Make tox cooperate with conda envs

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PPO-PyTorch

Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch

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cvxpylayers

Differentiable convex optimization layers

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skorch

A scikit-learn compatible neural network library that wraps PyTorch

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deepchecks

Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production.

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haystack

:mag: LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.

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AIX360

Interpretability and explainability of data and machine learning models

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awesome-machine-learning-interpretability

A curated list of awesome responsible machine learning resources.

License:CC0-1.0Stargazers:3558Issues:0Issues:0

jraph

A Graph Neural Network Library in Jax

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tabmat

Efficient matrix representations for working with tabular data

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glum

High performance Python GLMs with all the features!

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osmnx

OSMnx is a Python package to easily download, model, analyze, and visualize street networks and other geospatial features from OpenStreetMap.

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