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A latent text-to-image diffusion model
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
🔊 Text-Prompted Generative Audio Model
Google Research
10 Weeks, 20 Lessons, Data Science for All!
Instruct-tune LLaMA on consumer hardware
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 th…
此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现,也是作为一个算法工程师必会的理论基础知识。
stable diffusion webui colab
Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node
Dive into this repository, a comprehensive resource covering Data Structures, Algorithms, 450 DSA by Love Babbar, Striver DSA sheet, Apna College DSA Sheet, and FAANG Questions! 🚀 That's not all! W…
Sample code for Channel 9 Python for Beginners course
Data Science Using Python
A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
Segment Anything in High Quality [NeurIPS 2023]
TimeGPT-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 …
🎁 6,500,000+ Unsplash images made available for research and machine learning
Logica is a logic programming language that compiles to SQL. It runs on DuckDB, Google BigQuery, PostgreSQL and SQLite.
Notebooks & Example Apps for Search & AI Applications with Elasticsearch
Azure AI Foundry (demos, documentation, accelerators).
Notebooks and examples on how to onboard and use various features of Amazon Forecast.
Analyze documents with Amazon Textract and generate output in multiple formats.
Apply useful GitHub Copilot workflows and patterns in Data Science
Automated Retrieval and GPT Understanding System by utilizing Azure Document Intelligence in combination with GPT models.
Hands-On Lab: Building Olympic Games Analytics with Snowflake Notebooks, External Access Integrations, and Streamlit