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anomaly-detection-resources

Anomaly detection related books, papers, videos, and toolboxes

autokeras

accessible AutoML for deep learning.

awesome-llm

Awesome-LLM: a curated list of Large Language Model

awesome-machine-learning-interpretability

A curated list of awesome machine learning interpretability resources.

boot2docker

Lightweight Linux for Docker

causalinferenceintro

Causal Inference for the Brave and True的中文翻译版。全部代码基于Python，适用于计量经济学、量化社会学、策略评估等领域。英文版原作者：Matheus Facure

cltv

cs224n-winter17-notes

Course notes for CS224N Winter17

cs231n.github.io

Public facing notes page

cuml

cuML - RAPIDS Machine Learning Library

data-science-interviews

Data science interview questions and answers

data_science_industrial_practice

《数据科学工程实践》一书的Jupyter Notebook库，以及交流园地。

deepnlp-course

Deep NLP Course

dowhy

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

dynamicgem

fastai

The fastai deep learning library, plus lessons and and tutorials

framework

Machine learning, computer vision, statistics and general scientific computing for .NET. I am working on TimeSeries library.

glmm-in-python

Generalized linear mixed-effect model in Python

interpret

Fit interpretable models. Explain blackbox machine learning.

interpretable-ml-book

Book about interpretable machine learning

interpretable_machine_learning_with_python

Practical techniques for interpreting machine learning models.

jekyll-now

Build a Jekyll blog in minutes, without touching the command line.

kalman-and-bayesian-filters-in-python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

keras

Deep Learning library for Python. Runs on TensorFlow, Theano, or CNTK.

keras-deep-graph-learning

Welcome to Keras Deep Learning on Graphs (Keras-DGL) http://vermaMachineLearning.github.io/keras-deep-graph-learning

keras-js

Run Keras models in the browser, with GPU support using WebGL

keras-practice

Everything I practice about keras for deep learning

keras-preprocessing

Utilities for working with image data, text data, and sequence data.

keras-vis

Neural network visualization toolkit for keras

langchain

⚡ Building applications with LLMs through composability ⚡