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LangChain Revamps Documentation with New Sections

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@langchain

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02 January 2023 18h30

New Year, New Docs In an effort to make LangChain easier-to-use than ever before, we've revamped our docs. Sections include: Getting Started
Modules
[NEW] Use Cases
[NEW] Ecosystem
Gallery

Keras: High-Level Neural Network Library Built on TensorFlow

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02 January 2023 12h25

6. Keras Keras is a high-level library for building and training neural networks. It is built on top of TensorFlow and provides a simple and intuitive interface for defining and training models. It is well-suited for quick prototyping. https://
keras.io

TensorFlow: Google’s Open-Source Machine Learning Platform

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02 January 2023 12h25

5. TensorFlow TensorFlow is an open-source machine-learning library developed by Google. It provides a flexible and efficient platform for building, training, and deploying machine learning models, including support for deep learning. https://
tensorflow.org

PyTorch: Facebook’s Open-Source Deep Learning Framework

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02 January 2023 12h25

4. PyTorch PyTorch is an open-source machine-learning library developed by Facebook. It is a popular choice for deep learning and provides support for dynamic computation graphs, which allow for more flexible and efficient model design. https://
pytorch.org

scikit-learn: comprehensive machine learning library for Python

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02 January 2023 12h25

3. scikit-learn scikit-learn is a library for machine learning in Python. It provides a wide range of algorithms for classification, regression, clustering, and model selection, as well as tools for evaluating the performance of these models. https://
scikit-learn.org/stable/

Pandas: Essential Data Manipulation Library for Analysis

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02 January 2023 12h25

2. Pandas Pandas is a library for data manipulation and analysis. It provides functions and data structures for efficiently working with large datasets, including support for handling missing data, time series analysis, and merging and joining data. https://
pandas.pydata.org

NumPy: Essential Python Library for Scientific Computing

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02 January 2023 12h25

1. NumPy NumPy is a fundamental library for scientific computing in Python. It provides support for large, multi-dimensional arrays and matrices of numerical data, as well as functions to perform operations on these data structures. https://
numpy.org

Seven Python Libraries Every Machine Learning Engineer Should Know

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02 January 2023 12h25

7 Python libraries every machine learning engineer should know. (A thread)