Up-to-date version of labs for ISLP
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.
Microsoft Azure Traces
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)
WebGL accelerated JavaScript molecular graphics library
My 'Python for Data Analytics' course on YouTube
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!
Hands-on, framework-free Colab notebooks for the AI Engineer / Forward Deployed Engineer (FDE) skill set — model APIs, structured output, tool calling, RAG, evals-as-the-spine, agents (loop from scratch, tool design, guardrails, MCP, Skills), fine-tuning vs LoRA, prompt-injection/security, LLMOps, and customer craft. Runs on the free Groq API.
Time-Series-Optimized Transformer for Observability
Timely detections for more proactive and effective actions in offshore oil wells!
Yıldız Teknik Üniversitesi Bilgisayar Mühendisliği Bölüme Lisans ve Yüksek Lisansa Dair Genel Bilgiler, Ders Notları, Ders slaytları, Örnek Proje. Burada Staj, Erasmus, Yaz Okulu, KOOP gibi Kavramların Süreçlerini ve Detaylarını bulabilirsiniz.
A Database System built for Understandability
Курс-шпаргалка по математике для ИИ и ML 2026: линейая алгебра, матанализ, оптимизация, вероятности, стаистика, теория информации, трансформеры, диффузия, LM. Формулы, картинки, код, 40 задач, 100 вопросов
SDK to use VLX-VR: An Agentic-Aware Video Reasoning Model
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Refusal in Language Models
Disaggregated quantization official codebase
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💿 Free software that works great, and also happens to be open-source Python.
A collection of various deep learning architectures, models, and tips
A collection of tutorials on state-of-the-art computer vision models and techniques. Explore everything from foundational architectures like ResNet to cutting-edge models like RF-DETR, YOLO11, SAM 3, and Qwen3-VL.
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
数据科学的笔记以及资料搜集
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
《Pytorch实用教程》(第二版)无论是零基础入门,还是CV、NLP、LLM项目应用,或是进阶工程化部署落地,在这里都有。相信在本书的帮助下,读者将能够轻松掌握 PyTorch 的使用,成为一名优秀的深度学习工程师。
Technical resources for AI developers to build applications, agents, and systems using Oracle AI Database and OCI services
Probabilistic reasoning and statistical analysis in TensorFlow
🎨🖌 Modern, bright color theme for Sublime Text
TimeGPT-2.1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transformer for time series trained on over 100B data points. It's capable of accurately predicting various domains such as retail, electricity, finance, and IoT with just a few lines of code 🚀.
Bayesian optimization in PyTorch
Open Machine Learning course
A Production-ready Reinforcement Learning AI Agent Library brought by the Applied Reinforcement Learning team at Meta.
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MONAI Tutorials
An educational software system of a tiny self-compiling C compiler, a tiny self-executing RISC-V emulator, and a tiny self-hosting RISC-V hypervisor.
Python Productivity for ZYNQ
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This repository helps you learn Python and Machine Learning from scratch.
Logica is a logic programming language that compiles to SQL. It runs on DuckDB, Google BigQuery, PostgreSQL and SQLite.
EPFL Machine Learning Course, Fall 2026
Natural Gradient Boosting for Probabilistic Prediction
Practical course about Large Language Models.
A Lighting Pytorch Framework for Recommendation Models, Easy-to-use and Easy-to-extend.
Solutions for projects.
TorchXRayVision: A library of chest X-ray datasets and models. Classifiers, segmentation, and autoencoders.
A collection of scripts and notebooks to help you get started quickly.
A continuously updated project to track the latest progress in the field of multi-modal object tracking. This project focuses solely on single-object tracking.
Tutorials on sap.com
Foundation Models for Time Series
小李的大模型应用开发学习路线,涵盖 RAG、Agent、面试八股与论文速读。
Repository for threat hunting and detection queries, etc. for Defender for Endpoint and Microsoft Sentinel in KQL(Kusto Query Language).
Accessible Google Colab notebooks for Stable Diffusion Lora training, based on the work of kohya-ss and Linaqruf
Deep learning for audio processing
✅(已完结)超级全面的 C++ 笔记 【黑马程序员】
《AI全栈-全网优秀资源搜集站》:搜集全网优秀资源,记载工程实践问题的解决策略与关键要点,分享各种实用案例,追踪前沿技术发展,囊括 AI 全栈知识,涵盖大模型、编程技术、机器学习、深度学习、强化学习、图神经网络、语音识别、NLP 及图像识别等领域
Learn quantitative finance with this comprehensive lecture series. Adapted from the Quantopian Lecture Series. Uses free sample data.
✅(已完结)超级全面的 OpenCV 笔记【咕泡唐宇迪】
Root repository for ⿻數位 Plurality: The Future of Collaborative Technology and Democracy by E. Glen Weyl, Audrey Tang and the Plurality Community
[CVPR 2025 Highlight] Official code and models for Encoder-only Mask Transformer (EoMT).
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