OPENAGENTSKILL / DIRECTORY
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49–64 / 133
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Results: 133
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eriklindernoren
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from li…
eugeneyan
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
donnemartin
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumP…
NLP-LOVE
此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。
sktime
A unified framework for machine learning with time series
catboost
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python,…
TheAlgorithms
Collection of various algorithms in mathematics, machine learning, computer science, physics, etc implemented in C for educational purposes.
doccano
Open source annotation tool for machine learning practitioners.
h2oai
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeli…
guess-js
🔮 Libraries & tools for enabling Machine Learning driven user-experiences on the web
vwxyzjn
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
interpretml
Fit interpretable models. Explain blackbox machine learning.
dair-ai
📺 Discover the latest machine learning / AI courses on YouTube.
Angel-ML
A Flexible and Powerful Parameter Server for large-scale machine learning
cleanlab
Cleanlab's open-source library is the standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
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