Popular GitHub Repositories for Aws Rekognition

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

Enhanced ChatGPT Clone: Features Agents, DeepSeek, Anthropic, AWS, OpenAI, Assistants API, Azure, Groq, o1, GPT-4o, Mistral, OpenRouter, Vertex AI, Gemini, Artifacts, AI model switching, message search, Code Interpreter, langchain, DALL-E-3, OpenAPI Actions, Functions, Secure Multi-User Auth, Presets, open-source for self-hosting. Active project.

Example ? Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using ? Amazon SageMaker.

Build, Manage and Deploy AI/ML Systems

Flexible and powerful framework for managing multiple AI agents and handling complex conversations

Probabilistic time series modeling in Python

? Super-scale your images and run experiments with Residual Dense and Adversarial Networks.

A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Climate / Energy, Automotives, Retail, Pharma, Medicine, Healthcare, Policy, Ethics and more.

The LLM's practical guide: From the fundamentals to deploying advanced LLM and RAG apps to AWS using LLMOps best practices

? ????? about ????, ??????, and ?????? ??? for free by designing, training, and deploying a real-time financial advisor LLM system ~ ?????? ???? + ????? & ??????? ?????????

Convolutional Neural Networks to predict the aesthetic and technical quality of images.

A library for training and deploying machine learning models on Amazon SageMaker

dstack is a lightweight, open-source alternative to Kubernetes & Slurm, simplifying AI container orchestration with multi-cloud & on-prem support. It natively supports NVIDIA, AMD, TPU, and Intel accelerators.

Machine Learning Platform and Recommendation Engine built on Kubernetes

Unified UI and API for processing and training images for facial recognition.

LLMs for your CLI

A modular and comprehensive solution to deploy a Multi-LLM and Multi-RAG powered chatbot (Amazon Bedrock, Anthropic, HuggingFace, OpenAI, Meta, AI21, Cohere, Mistral) using AWS CDK on AWS

Hopsworks - Data-Intensive AI platform with a Feature Store

AI-powered markdown note taking app - leverage vector embeddings and LLMs with your knowledge base - 100% local or in the cloud

? Tiny S3 client. Edge computing ready. No-dep. In Typescript. Works with @cloudflare @minio @backblaze @digitalocean @garagehq