Interactive Data Visualization in the browser, from Python
- bokeh
- python
- interactive-plots
- javascript
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Interactive Data Visualization in the browser, from Python
VIP cheatsheets for Stanford's CS 229 Machine Learning
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Qwen3-VL is the multimodal large language model series developed by Qwen team, Alibaba Cloud.
The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
Visualize Your Ideas With Code
《统计学习方法》的代码实现
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。
The best free and open-source automated time tracker. Cross-platform, extensible, privacy-focused.
Faker is a Python package that generates fake data for you.
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.
Turns Data and AI algorithms into production-ready web applications in no time.
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
阿布量化交易系统(股票,期权,期货,比特币,机器学习) 基于python的开源量化交易,量化投资架构
One has no future if one couldn't teach themself.
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
Instruct-tune LLaMA on consumer hardware
The interactive graphing library for Python :sparkles:
[🔥updating ...] AI 自动量化交易机器人(完全本地部署) AI-powered Quantitative Investment Research Platform. 📃 online docs: https://ufund-me.github.io/Qbot ✨ :news: qbot-mini: https://github.com/Charmve/iQuant
A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API
Welcome to the Llama Cookbook! This is your go to guide for Building with Llama: Getting started with Inference, Fine-Tuning, RAG. We also show you how to solve end to end problems using Llama model family and using them on various provider services
Open-source JavaScript charting library behind Plotly and Dash
Get started with building Fullstack Agents using Gemini 2.5 and LangGraph
[WIP] Resources for AI engineers. Also contains supporting materials for the book AI Engineering (Chip Huyen, 2025)