fklearn: Functional Machine Learning
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A series of Jupyter notebooks with Chinese comment that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
A curated list of Best Artificial Intelligence Resources
- machine-learning
- regression
- neural-networks
- tensorflow
An easy/swift-to-adapt PyTorch-Lighting template. 套壳模板，简单易用，稍改原来Pytorch代码，即可适配Lightning。You can translate your previous Pytorch code much easier using this template, and keep your freedom to edit all the functions as well. Big-project-friendly as well. No need to rewrite your config in hydra.
- pytorch
- pytorch-lightning
- pytorch-lightning-template
- best-practices
Stock Price Prediction using Machine Learning Techniques
- machine-learning
- supervised-learning
- stock-price-forecasting
- forecasting
Robyn is an experimental, AI/ML-powered and open sourced Marketing Mix Modeling (MMM) package from Meta Marketing Science. Our mission is to democratise modeling knowledge, inspire the industry through innovation, reduce human bias in the modeling process & build a strong open source marketing science community.
- marketing-mix-modeling
- marketing-mix-modelling
- mmm
- marketing-science
This repository contains examples for customers to get started using the Amazon Bedrock Service. This contains examples for all available foundational models
- amazon-bedrock
- bedrock
- embeddings
- generative-ai
📱 ✅ Some awesome projects in python! 📱 ✅
This repo is created to serve simulaion and analysis on the data collected in Jiuyang Bai's dissertation research.
Text To Video Synthesis Colab
- colab
- colab-notebook
- colaboratory
- t2v
Google Colaboratory Notebooks and Repositories (by @firmai)
- google-colab
- google-colab-notebook
- jupyter-notebook
- machine-learning
A toolkit for controlling Euro Truck Simulator 2 with the end-to-end driving model
The official code repository for examples in the O'Reilly book 'Generative Deep Learning'
Official repository of my book: "Deep Learning with PyTorch Step-by-Step: A Beginner's Guide"
- deep-learning
- pytorch
- pytorch-tutorial
- python
Unofficial implementation of the ImageNet, CIFAR 10 and SVHN Augmentation Policies learned by AutoAugment using pillow
Comprehensive guide to learn RAG from basics to advanced.
- ai-engineer
- generative-ai
- large-language-models
- llm-engineer
Code for the Interspeech 2021 paper "AST: Audio Spectrogram Transformer".
- pytorch
- audio-classification
- deep-learning
- audio
The repository host gives no description.
利用pytorch实现图像分类的一个完整的代码，训练，预测，TTA，模型融合，模型部署，cnn提取特征，svm或者随机森林等进行分类，模型蒸馏，一个完整的代码
Official Repository for Code associated with 'Practical Natural Language Processing' book by O'Reilly Media
- natural-language-processing
- natural-language-understanding
- oreilly-books
Open-source python package for the extraction of Radiomics features from 2D and 3D images and binary masks. Support: https://discourse.slicer.org/c/community/radiomics
- radiomics
- cancer-imaging-research
- medical-imaging
- computational-imaging
A collection of reference Jupyter notebooks and demo AI/ML applications for enterprise use cases: marketing, pricing, supply chain, smart manufacturing, and more.
- data-science
- ai
- models
- marketing
Build production-ready LLM applications and advanced agents using Python, LangChain, and LangGraph. This is the companion repository for the book on generative AI with LangChain.
Introduction to Statistics and Basics of Mathematics for Data Science - The Hacker's Way
- machine-learning
- linear-algebra
- statistics
- calculus