Awesome Machine Learning
Section: Python · A library providing high-performance, easy-to-use data structures and data analysis tools.
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Appears in 5 awesome lists
Data structures built on top of numpy. scikit-learn - Core ML library, intelex. matplotlib - Plotting library. seaborn - Data visualization library based on matplotlib. ydata-profiling - Descriptive statistics using ProfileReport. sklearn_pandas - Helpful DataFrameMapper class. missingno - Missing…
Section: Python · A library providing high-performance, easy-to-use data structures and data analysis tools.
Section: Numerical Libraries & Data Structures · Python - pandas is an open source, BSD-licensed library providing high-performance, easy-to-use data structures and data analysis tools for the Python programming language. GitHub
Section: General · Data structures built on top of numpy. scikit-learn - Core ML library, intelex. matplotlib - Plotting library. seaborn - Data visualization library based on matplotlib. ydata-profiling - Descriptive statistics using ProfileReport. sklearn_pandas - Helpful DataFrameMapper class. missingno - Missing…
Section: Python Frameworks, Libraries, and Tools · is a fast, powerful, and easy to use open source data structrures, data analysis and manipulation tool, built on top of the Python programming language.
Section: Python · Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more.
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.
Transpile trained ML models into other languages. sklearn-porter - Transpile trained scikit-learn estimators to C, Java, JavaScript and others. mlflow - Manage the machine learning lifecycle, including experimentation, reproducibility and deployment. skll - Command-line utilities to make it easier…
(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.
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…
(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…
(from Hpcaitech) - A Unified Deep Learning System for Large-Scale Parallel Training (1D, 2D, 2.5D, 3D and sequence parallelism, and ZeRO protocol).
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
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,…