Protein Graph Library
A collection of notebooks/recipes showcasing usecases of open-source models with Together AI.
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)
A framework for data augmentation for 2D and 3D image classification and segmentation
Generator Bootcamp Material: Learn Chisel the Right Way
Notebooks & Example Apps for Search, Observability, and Security with Elasticsearch
Agent memory for LLMs: 30 runnable Jupyter notebooks covering conversation buffers, vector stores, knowledge graphs, episodic and semantic memory, MemGPT, Mem0, Letta, Zep, Graphiti, LoCoMo benchmarks, and production patterns.
Support PyTorch model conversion with LiteRT.
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
Public runnable examples of using John Snow Labs' NLP for Apache Spark.
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.
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.
Distill your LLM traces into a fast hybrid System 1 models. Open-source ML + LLM inference with calibrated deferral.
Course Materials for Analytics in Stock Markets Zoomcamp
The book every data scientist needs on their desk.
GNU Radio decoder for Amateur satellites
Computational Fluid Dynamics in JAX
Self-paced bootcamp on Generative AI. Tutorials on ML fundamentals, Ollama, LLMs, RAGs, LangChain, LangGraph, Fine-tuning, DSPy & AI Agents (CrewAI), (Using ChatGPT, gpt-oss, Claude, Qwen, Gemma, Llama, Gemini)
This repository shares end-to-end notebooks on how to use various Weaviate features and integrations!
This repository hosts the code behind the online book, Coding for Economists.
Text and supporting code for Modeling and Simulation in Python
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Tutorials on sap.com
My 'Python for Data Analytics' course on YouTube
SMT: The Surrogate Modeling Toolbox
Jupyter notebooks for learning how to use SimpleITK
Foundation Models for Time Series
A repository of code samples for Vector search capabilities in Azure AI Search.
Repository for the book Grokking Machine Learning, by Manning Editors
This repo is the homebase of a community driven course on Computer Vision with Neural Networks. Feel free to join us on the Hugging Face discord: hf.co/join/discord
This repository introduces PIXIU, an open-source resource featuring the first financial large language models (LLMs), instruction tuning data, and evaluation benchmarks to holistically assess financial LLMs. Our goal is to continually push forward the open-source development of financial artificial intelligence (AI).
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Cell2Sentence: Teaching Large Language Models the Language of Biology
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。
Train a Jev-like multimodal model by yourself. System One Model, now with vision.
Collection of algorithms for online portfolio selection
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
Tutorials and content created by Earth Engine users, for Earth Engine users
Python API for Deequ
Accessible Google Colab notebooks for Stable Diffusion Lora training, based on the work of kohya-ss and Linaqruf
Notes and links from the book club meetings
Artificial Intelligence Research for Science (AIRS)
Book and code for Think Complexity, 2nd edition
Content for the Udemy Prompt Engineering Course
Notebooks, code samples, sample apps, and other resources that demonstrate how to use, develop and manage machine learning and generative AI workflows using Google Cloud Vertex AI.
Collection of Jupyter notebooks is designed to provide you with a comprehensive guide to various AI tools and technologies
Code examples for Robotics, Vision & Control 3rd edition in Python
: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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Notebook-based book "Introduction to Robotics and Perception" by Frank Dellaert and Seth Hutchinson
🌮 Trash Annotations in Context Dataset Toolkit
Deep learning for audio processing
Analysis on systematic trading strategies (e.g., trend-following, carry and mean-reversion). The result is regularly updated.
The Python library to create stand-alone and interactive d3 charts.