机械臂+大模型+多模态=人机协作具身智能体
Python tutorials in both Jupyter Notebook and youtube format.
Example deep learning projects that use wandb's features.
Videos, notes and experiments to understand deep learning
Protein Graph Library
A collection of notebooks/recipes showcasing usecases of open-source models with Together AI.
A framework for data augmentation for 2D and 3D image classification and segmentation
Python supercharged for the fastai library
Sentiment Analysis, Text Classification, Text Augmentation, Text Adversarial defense, etc.;
Simple and flexible progress bar for Jupyter Notebook and console
Repository for suggesting new lineages that should be added to the current scheme
ModelArts-Lab是示例代码库。更多AI开发学习交流信息,请访问华为云AI开发者社区:huaweicloud.ai
Utility functions for handling MIDI data in a nice/intuitive way.
Distill your LLM traces into a fast hybrid System 1 models. Open-source ML + LLM inference with calibrated deferral.
The book every data scientist needs on their desk.
This repository shares end-to-end notebooks on how to use various Weaviate features and integrations!
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SMT: The Surrogate Modeling Toolbox
Jupyter notebooks for learning how to use SimpleITK
Cell2Sentence: Teaching Large Language Models the Language of Biology
A collection of Jupyter notebooks developed by the community showing how to use Qiskit
A toolkit for applying LLMs to sensitive, non-public data in offline or restricted environments
SwiftUI, Jetpack Compose, Compose for Desktop and Compose for Web based Kotlin Multiplatform project (using CityBikes API http://api.citybik.es/v2/). Uses Room for local persistence
Python API for Deequ
Notes and links from the book club meetings
Artificial Intelligence Research for Science (AIRS)
Book and code for Think Complexity, 2nd edition
Collection of Jupyter notebooks is designed to provide you with a comprehensive guide to various AI tools and technologies
: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
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Easy pipelines for pandas DataFrames.
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Google Cloud Platform Vertex AI end-to-end workflows for machine learning operations
A simple probabilistic programming language.
[JMLR 2023] Quantus is an eXplainable AI toolkit for responsible evaluation of neural network explanations
数学建模和机器学习/深度学习/大模型的笔记和资料(持续更新中......)。
ZeroCostDL4Mic: A Google Colab based no-cost toolbox to explore Deep-Learning in Microscopy
✅(已完结)超级全面的 Python 笔记【马士兵教育】
Python package for Causal Discovery by learning the graphical structure of Bayesian networks. Structure Learning, Parameter Learning, Inferences, Sampling methods.
Code examples for the book titled Introduction to GIS Programming
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
🤗 Optimum Intel: Accelerate inference with Intel optimization tools
A framework for single/multi-objective optimization with metaheuristics
A prompting enhancement library for transformers-type text embedding systems
OpenCV for Unity (Untiy Asset Plugin)
Fantasy Premier League Kotlin/Compose Multiplatform sample
🧇 Make Waffle Charts in Python.
Hands-On Learning in Computer Vision
西北工业大学/西工大/nwpu/npu软件学院复习(突击)资料!!
Repository for the "Building LLMs for Production" book by Towards AI.
組織横断的にチームを組成し、機械学習による成長サイクルを実現する計画を立てるワークショップ
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MonsterUI is a FastHTML Tailwind-powered UI framework for building beautiful web interfaces with minimal code.
Introduction to GIS Programming
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A Python framework for performing information retrieval experiments, building on http://terrier.org/
Tools and tests used in Kaggle Learn exercises
Dynamics 365 FastTrack Implementation guides
Beginner Level Deep Learning Tutorials in Pytorch with Youtube Videos!
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