🦉 OWL: Optimized Workforce Learning for General Multi-Agent Assistance in Real-World Task Automation
- agent
- artificial-intelligence
- multi-agent-systems
- task-automation
Repository Index
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Unified framework for building enterprise RAG pipelines with small, specialized models
- parsing
- retrieval-augmented-generation
- agents
- generative-ai-tools
The Triton Inference Server provides an optimized cloud and edge inferencing solution.
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
- cookiecutter-data-science
- cookiecutter
- cookiecutter-template
- data-science
An open-source framework for machine learning and other computations on decentralized data.
[CONTRIBUTORS WELCOME] Generalized Additive Models in Python
HairDeck: Animation-Ready Stylized Hair Cards from a Single Image
QKeras: a quantization deep learning library for Tensorflow Keras
- deep-learning
- quantization
- quantized-neural-networks
- hardware-acceleration
Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...
- reinforcement-learning
- deep-learning
- pytorch
- pytorch-reinforcement-learning
Hyperparameter optimization and feature selection for scikit-learn using evolutionary algorithms. A modern alternative to GridSearchCV and RandomizedSearchCV.
AgML is a centralized framework for agricultural machine learning. AgML provides access to public agricultural datasets for common agricultural deep learning tasks, with standard benchmarks and pretrained models, as well the ability to generate synthetic data and annotations.
- deep-learning
- agriculture
- pytorch
- dataset
Generate a summarized description of a body of text
- machine-learning
- docker-image
- deep-neural-networks
- tensorflow-models