4.7KGitHub
OPENAGENTSKILL / DIRECTORY
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Results · “machine-learning-algorithms”
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Results: 95
Techniques
satellite-image-deep-learning
Techniques for deep learning with satellite & aerial imagery
Ml AutomationReview before use
10.2KGitHub
LightGBM
lightgbm-org
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and…
Ml AutomationReview before use
18.5KGitHub
Stable Baselines3
DLR-RM
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
13.4KGitHub
Causalml
uber
Uplift modeling and causal inference with machine learning algorithms
Ml AutomationReview before use
5.9KGitHub
EconML
py-why
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic de…
Ml AutomationReview before use
4.7KGitHub
Pennylane
PennyLaneAI
PennyLane is an open-source quantum software platform for quantum computing, quantum machine learning, and quantum chemistry. Create meaningful quantum algorithms, from…
Ml AutomationReview before use
3.3KGitHub
AIF360
Trusted-AI
A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.
Ml AutomationReview before use
2.8KGitHub
Tensorflow
tensorflow
An Open Source Machine Learning Framework for Everyone
Ml AutomationReview before use
195.7KGitHub
Transformers
huggingface
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and traini…
Ml AutomationReview before use
161.6KGitHub
64.1KGitHub
DeepSpeed
deepspeedai
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
Ml AutomationReview before use
42.5KGitHub
Netron
lutzroeder
Visualizer for neural network, deep learning and machine learning models
Ml AutomationReview before use
33.1KGitHub
28KGitHub
Shap
shap
A game theoretic approach to explain the output of any machine learning model.
Ml AutomationReview before use
25.5KGitHub
24.9KGitHub
External platform skills
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