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Data Science Collections

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Collection of learning materials and resources about data science, machine learning, deep learning and other interesting fields.

Table of Contents

Articles

Blogs

Books

Algorithms

Deep Learning

  • MIT Deep Learning Book: [Official HTML format] [PDF format]

    • An MIT Press book by Ian Goodfellow and Yoshua Bengio and Aaron Courville.

  • Dive into Deep Learning

    • Interactive deep learning book with code, math, and discussions. Implemented with PyTorch, NumPy/MXNet, and TensorFlow

Linear Algebra

Machine Learning

Reinforcement Learning

Statistics

  • Seeing Theory

    • A visual introduction to probability and statistics.

Courses

AIGC

Computer Science

Data Science

Deep Learning

Natural Language Processing

Reinforcement Learning

Statistics

Libraries

Computer Vision

  • Hawkeye

    • Hawkeye is a unified deep learning based fine-grained image recognition toolbox built on PyTorch, which is designed for researchers and engineers.

  • ImageAI

    • An open-source python library built to empower developers to build applications and systems with self-contained Deep Learning and Computer Vision capabilities using simple and few lines of code.

  • ImaginAIry

    • AI imagined images. Pythonic generation of stable diffusion images.

  • Kornia

    • Kornia is a differentiable computer vision library for PyTorch.

  • Latent Diffusion

    • High-Resolution Image Synthesis with Latent Diffusion Models.

  • Stable Diffusion

    • Stable Diffusion is a latent text-to-image diffusion model.

  • stable-diffusion-tensorflow

    • A Keras / Tensorflow implementation of Stable Diffusion.

  • Ultralytics YOLOv8

    • Ultralytics YOLOv8, developed by Ultralytics, is a cutting-edge, state-of-the-art (SOTA) model that builds upon the success of previous YOLO versions and introduces new features and improvements to further boost performance and flexibility.

Data Science

  • librosa

    • Python library for audio and music analysis.

  • Pandaral·lel

    • pandarallel is a simple and efficient tool to parallelize Pandas operations on all available CPUs.

  • Polars

    • Fast multi-threaded, hybrid-out-of-core DataFrame library in Rust | Python | Node.js

  • PyClustering

    • pyclustering is a Python, C++ data mining library (clustering algorithm, oscillatory networks, neural networks).

  • TimeSide

    • TimeSide is a Python framework enabling low and high level audio analysis, imaging, transcoding, streaming and labelling.

Deep Learning

  • Alpa

  • Auto-PyTorch

    • Automatic architecture search and hyperparameter optimization for PyTorch.

  • Catalyst

    • Catalyst is a PyTorch framework for Deep Learning Research and Development.

  • Colossal-AI

    • Colossal-AI is a unified deep learning system for the big model era to make training and inference of large AI models efficient, easy, and scalable.

    • [Service Demo]

  • DeepTables

    • DeepTables(DT) is a easy-to-use toolkit that enables deep learning to unleash great power on tabular data.

  • DGL (Deep Graph Library)

    • DGL is an easy-to-use, high performance and scalable Python package for deep learning on graphs.

  • Ensemble PyTorch

    • A unified ensemble framework for PyTorch to improve the performance and robustness of your deep learning model.

  • OneFlow

    • OneFlow is a deep learning framework designed to be user-friendly, scalable and efficient.

  • PyDPM

    • A python library focuses on constructing Deep Probabilistic Models (DPMs).

  • skorch

    • A scikit-learn compatible neural network library that wraps PyTorch.

  • TensorFlow Decision Forests

    • TensorFlow Decision Forests (TF-DF) is a collection of state-of-the-art algorithms for the training, serving and interpretation of Decision Forest models. The library is a collection of Keras models and supports classification, regression and ranking.

Machine Learning

  • AutoX

    • AutoX is an efficient automl tool, which is mainly aimed at data mining tasks with tabular data.

  • EvalML

    • EvalML is an AutoML library that builds, optimizes, and evaluates machine learning pipelines using domain-specific objective functions.

  • Evidently

    • Evidently helps analyze and track data and ML model quality throughout the model lifecycle.

  • Feature Engine

    • Feature-engine is a Python library with multiple transformers to engineer and select features for use in machine learning models.

  • FLAML

    • FLAML is a lightweight Python library for efficient automation of machine learning, including selection of models, hyperparameters, and other tunable choices of an application.

  • Hypernets

    • A General Automated Machine Learning framework to simplify the development of End-to-end AutoML toolkits in specific domains.

  • imodels

    • Python package for concise, transparent, and accurate predictive modeling.

  • LightAutoML

    • LightAutoML (LAMA) is an AutoML framework by Sber AI Lab.

  • LightGBMLSS

    • An extension of LightGBM to probabilistic forecasting.

  • Lime

    • This project is about explaining what machine learning classifiers (or models) are doing.

  • mljar-supervised

    • The mljar-supervised is an Automated Machine Learning Python package that works with tabular data.

  • NGBoost

  • PyCaret

    • PyCaret is an open-source, low-code machine learning library in Python that automates machine learning workflows.

  • River

    • River is a Python library for online machine learning. It aims to be the most user-friendly library for doing machine learning on streaming data.

  • SHAP

    • SHAP (SHapley Additive exPlanations) is a game theoretic approach to explain the output of any machine learning model.

  • skfolio

    • skfolio is a Python library for portfolio optimization built on top of scikit-learn. It offers a unified interface and tools compatible with scikit-learn to build, fine-tune, and cross-validate portfolio models.

  • TPOT

    • TPOT is a Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

Multimodal

  • Chinese-CLIP

    • Chinese version of CLIP which achieves Chinese cross-modal retrieval and representation generation.

  • LAVIS

    • LAVIS is a Python deep learning library for LAnguage-and-VISion intelligence research and applications.

Natural Language Processing

  • 🤗 Transformers

  • AllenNLP

  • Chinese-BERT-wwm

    • Pre-Training with Whole Word Masking for Chinese BERT

  • ChatLLaMA

    • ChatLLaMA is a library that allows you to create hyper-personalized ChatGPT-like assistants using your own data and the least amount of compute possible.

  • DeepSpeed-Chat

    • A fast, affordable, scalable and open system framework for enabling end-to-end Reinforcement Learning Human Feedback (RLHF) training experience to generate high-quality ChatGPT-style models at all scales.

  • fastNLP

    • A Modularized and Extensible NLP Framework.

  • gpt-2-simple

    • Python package to easily retrain OpenAI's GPT-2 text-generating model on new texts.

  • Kashgari

    • Kashgari is a production-level NLP Transfer learning framework built on top of tf.keras for text-labeling and text-classification, includes Word2Vec, BERT, and GPT2 Language Embedding.

  • OpenNMT-py

    • OpenNMT-py is the PyTorch version of the OpenNMT project, an open-source (MIT) neural machine translation framework.

  • PaLM-rlhf-pytorch

    • Implementation of RLHF (Reinforcement Learning with Human Feedback) on top of the PaLM architecture. Basically ChatGPT but with PaLM.

  • picoGPT

    • picoGPT is an unnecessarily tiny and minimal implementation of GPT-2 in plain NumPy.

  • pyhanlp

  • Scikit-LLM

    • Seamlessly integrate powerful language models like ChatGPT into scikit-learn for enhanced text analysis tasks.

  • Simple Transformers

    • This library is based on the Transformers library by HuggingFace. Simple Transformers lets you quickly train and evaluate Transformer models.

  • Stanza

    • Stanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages.

  • TigerBot

    • TigerBot is a multi-language and multitask LLM.

Reinforcement Learning

  • FinRL

    • FinRL is the first open-source framework to show the great potential of financial reinforcement learning.

Statistics

  • ArviZ

    • ArviZ is a Python package for exploratory analysis of Bayesian models.

  • Pingouin

    • Pingouin is an open-source statistical package written in Python 3 and based mostly on Pandas and NumPy.

Papers

Computer Vision

Deep Learning

Multimodal

Natural Language Processing

Reinforcement Learning

Platforms

Applications

  • Auto-GPT

    • Auto-GPT is an experimental open-source application showcasing the capabilities of the GPT-4 language model.

  • BELLE

    • The goal of this project is to promote the development of an open-source community for Chinese conversational large language models, with the vision of becoming an LLM Engine that can help everyone.

  • GPT4All

    • An ecosystem of open-source chatbots trained on a massive collections of clean assistant data including code, stories and dialogue.

  • NovelAI

    • NovelAI is a monthly subscription service for AI-assisted authorship, storytelling, virtual companionship, or simply a GPT powered sandbox for your imagination.

  • OpenChatKit

    • OpenChatKit provides a powerful, open-source base to create both specialized and general purpose chatbots for various applications.

  • Palette

    • Colorize your photos for free!

  • Riffusion App

    • Riffusion is an app for real-time music generation with stable diffusion.

  • StableStudio

    • StableStudio is Stability AI's official open-source variant of DreamStudio. It is a web-based application that allows users to create and edit generated images.

Coding

Models

  • Modelverse

    • Modelverse is a model sharing and search platform that contains a diverse set of deep generative models such as GANs, diffusion models, and autoregressive models.

Notebooks

Projects

Repositories

Natural Language Processing

  • chatgpt_academic

    • Specialized ChatGPT extension for research work, optimized for academic paper proofreading experience.

  • Chat-Your-Data

    • Create a ChatGPT like experience over your custom docs using LangChain.

  • gpt-fast

    • Simple and efficient pytorch-native transformer text generation in <1000 LOC of python.

  • nanoGPT

    • The simplest, fastest repository for training/finetuning medium-sized GPTs.

  • notion-qa

    • Ask questions to your Notion database in natural language.

Tools

  • ML Visuals

    • ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.

  • Netron

    • Netron is a viewer for neural network, deep learning and machine learning models.

  • Prodigy

    • Prodigy is a scriptable annotation tool so efficient that data scientists can do the annotation themselves, enabling a new level of rapid iteration.

Tutorials

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