jackfrued / Python-100-Days
A free Chinese-language 100-day Python course, from basics to advanced topics, with lessons and code examples.
jackfrued / Python-100-Days
microsoft / AI-For-Beginners
A 12-week, 24-lesson beginner curriculum covering AI fundamentals, neural networks, computer vision, NLP, and AI ethics with TensorFlow and PyTorch labs.
anthropics / claude-cookbooks
Jupyter notebooks and recipes demonstrating code patterns for building with the Claude API, including tool use, RAG, vision, and evaluations.
UFund-Me / Qbot
Open-source AI-oriented quantitative investment platform covering data, strategy research, backtesting, simulated and live trading.
The-Art-of-Hacking / h4cker
This repository is maintained by Omar Santos (@santosomar) and includes thousands of resources related to ethical hacking, bug bounties, digital forensics and incident response (DFIR), AI security, vulnerability research, exploit development, reverse engineering, and more. 🔥 Also check: https://hackertraining.org
anthropics / prompt-eng-interactive-tutorial
An interactive Jupyter notebook course teaching prompt engineering techniques for Anthropic's Claude models.
microsoft / mcp-for-beginners
A beginner curriculum teaching the Model Context Protocol (MCP) with hands-on code examples in C#, Java, JavaScript, Rust, Python, and TypeScript.
charliedream1 / ai_quant_trade
Stock AI Trader: 1-stop platform for learning, sim & live trading. Covers: stock basics, strategies, LLMs, factor mining, ML/DL/RL, graph nets, HFT, C++ deploy & JoinQuant code. 股票AI操盘手：一站式学习、模拟、实盘平台。涵盖：股票基础、策略、大模型、因子挖掘、机器学习/深度学习/强化学习、图网络、高频交易、C++部署及聚宽代码。
datawhalechina / diy-llm
Covers pre-training data, Tokenizer, Transformer, MoE,distributed training, Scaling Laws, inference & alignment .6 progressive code assignments for full-stack LLM learning | 涵盖预训练数据、分词器、Transformer、MoE、分布式训练、缩放定律、推理与对齐，6 项渐进代码作业，掌握 LLM 全栈知识
hoochanlon / hamuleite
🌊深度整合全球顶尖学术、金融与教育资源：学术板块汇聚 JSTOR、Taylor & Francis、剑桥大学出版社等权威平台的论文，并接入 Z-Library 影子图书馆的海量电子书；教育板块收录香港、新加坡从小学到高中以及大学学科教科书；金融板块则聚合香橼、摩根、野村等顶级机构的深度研报，只为打破信息孤岛，构建知识平权普惠知识库。
AllenDowney / ThinkStats
Notebooks for the third edition of Think Stats
AlibabaCloudDocs / aliyun_acp_learning
—
py-why / EconML
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.
mahmoud / awesome-python-applications
💿 Free software that works great, and also happens to be open-source Python.
fivethirtyeight / data
Public datasets and analysis code behind FiveThirtyEight's published articles and graphics.
hemansnation / AI-Engineer-Headquarters
A collection of scientific methods, processes, algorithms, and systems to build stories & models.
borglab / gtsam
GTSAM is a library of C++ classes that implement smoothing and mapping (SAM) in robotics and vision, using factor graphs and Bayes networks as the underlying computing paradigm rather than sparse matrices.
lavine888 / CityU-CS-Notes
Course notes & materials based on my CityU MSc CS journey. Includes study notes from 10 courses and resources shared by peers. Hope it helps fellow students — Star & PRs welcome. 基于香港城市大学 MSc CS 修课经历整理的课程笔记与资料。收录 10 门课程的学习沉淀，以及课程社群中同学们分享的资料。希望能帮到同样在学的同学，欢迎 Star 与 PR。
cantaro86 / Financial-Models-Numerical-Methods
Collection of notebooks about quantitative finance, with interactive python code.
PolymathicAI / the_well
A 15TB Collection of Physics Simulation Datasets
simpler-env / SimplerEnv
Evaluating and reproducing real-world robot manipulation policies (e.g., RT-1, RT-1-X, Octo) in simulation under common setups (e.g., Google Robot, WidowX+Bridge) (CoRL 2024)
3dmol / 3Dmol.js
WebGL accelerated JavaScript molecular graphics library
KarryRen / SCU-CS-Class-Materials
四川大学计算机学院本科课程资料（更新中 🔥）如果您觉得有帮助，还请点亮一下 Star 🌟 哦~ 万分感谢！
PixelML / club-170hx
Community-tested recipes, diagnostics, and benchmarks for CMP 170HX AI workloads
yidao620c / python3-cookbook
《Python Cookbook》 3rd Edition Translation
peterdsharpe / AeroSandbox
Aircraft design optimization made fast through computational graph transformations (e.g., automatic differentiation). Composable analysis tools for aerodynamics, propulsion, structures, trajectory design, and much more.
datawhalechina / torch-rechub
A Lighting Pytorch Framework for Recommendation Models, Easy-to-use and Easy-to-extend.
walkinglabs / self-improving-agent-notebook
Master self-improving LLM agents systematically with runnable Stanford CS329A notebooks.
evidentlyai / evidently
Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.
google / brax
Massively parallel rigidbody physics simulation on accelerator hardware.
frankwxu / digital-forensics-lab
Free hands-on digital forensics labs for students and faculty
sokrypton / ColabFold
Making Protein folding accessible to all!
ilmoi / MML-Book
Code / solutions for Mathematics for Machine Learning (MML Book)
elastic / elastic-labs
Notebooks & Example Apps for Search, Observability, and Security with Elasticsearch
DataTalksClub / stock-markets-analytics-zoomcamp
Course Materials for Analytics in Stock Markets Zoomcamp
daniestevez / gr-satellites
GNU Radio decoder for Amateur satellites
aeturrell / coding-for-economists
This repository hosts the code behind the online book, Coding for Economists.
lukebarousse / Python_Data_Analytics_Course
My 'Python for Data Analytics' course on YouTube
petercorke / RVC3-python
Code examples for Robotics, Vision & Control 3rd edition in Python
computational-cell-analytics / micro-sam
Segment Anything for Microscopy
ncbi / datasets
NCBI Datasets is a new resource that lets you easily gather data from across NCBI databases.
danielfrg / mkdocs-jupyter
Use Jupyter Notebook in mkdocs
MLO-lab / LeVJEPA
Efficient & Scalable Video Pretraining without the Heuristics
TaroYamada08 / Hacker
This repository is maintained by Hex Core and includes thousands of resources related to ethical hacking, bug bounties, digital forensics and incident response (DFIR), AI security, vulnerability research, exploit development, reverse engineering, and more. 🔥 Also check: https://hackertraining.org
iam-veeramalla / RAG-crash-course
Learn RAG practically from absolute basics
mahmoodlab / CORAL
Spatial biology processing suite
GoogleCloudPlatform / python-docs-samples
Code samples used on cloud.google.com
tensorflow / docs
TensorFlow documentation
tensorflow / probability
Probabilistic reasoning and statistical analysis in TensorFlow
AllenDowney / ThinkStats2
Text and supporting code for Think Stats, 2nd Edition
matheusfacure / python-causality-handbook
Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.
AllenDowney / ThinkBayes2
Text and code for the second edition of Think Bayes, by Allen Downey.
gboeing / osmnx-examples
Gallery of OSMnx tutorials, usage examples, and feature demonstrations.
csinva / imodels
Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).
a-r-j / graphein
Protein Graph Library
NannyML / The-Little-Book-of-ML-Metrics
The book every data scientist needs on their desk.
wx-chevalier / AI-Notes
:books: [.md & .ipynb] Series of Artificial Intelligence & Deep Learning, including Mathematics Fundamentals, Python Practices, NLP Application, etc. 💫 人工智能与深度学习实战，数理统计篇 | 机器学习篇 | 深度学习篇 | 自然语言处理篇 | 工具实践 Scikit & Tensoflow & PyTorch 篇 | 行业应用 & 课程笔记
NVIDIA / torch-harmonics
Differentiable signal processing on the sphere for PyTorch
google / edward2
A simple probabilistic programming language.
cfgranda / ps4ds
Probability and Statistics for Data Science: A self-contained introduction to probability and statistics for data science, including a free pdf, 103 Python notebooks using 23 real-world datasets, 118 videos with slides, and solutions to 200 exercises