Technical resources for AI developers to build applications, agents, and systems using Oracle AI Database and OCI services
- artificial-intelligence
- generative-ai
- kubernetes
- kustomize
Repository Index
81,588 visible repositories in the index
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TranslatedWith only a Python foundation, build your own embodied intelligence robot from scratch; step by step from scratch, build VLA/OpenVLA/SmolVLA/Pi0, and gain a deep understanding of embodied intelligence
- embodied-agent
- embodied-ai
- embodied-intelligence
- openvla
TensorFlow Basic Tutorial Labs
- tensorflow
- keras
- mxnet
- pytorch
Solve puzzles. Improve your pytorch.
- machine-learning
- puzzle
- torch
PyTorch implementation of AnimeGANv2
- image2image
- style-transfer
- gan
Segment Anything in Medical Images
Probabilistic reasoning and statistical analysis in TensorFlow
- tensorflow
- bayesian-methods
- deep-learning
- machine-learning
Python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft
Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
- tensorflow
- machine-learning
- regression
- convolutional-neural-networks
https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1
Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models
- deep-learning
- coursera
- coursera-assignment
- coursera-specialization
A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
- automl
- hyperparam
- automated-machine-learning
- machine-learning
An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
- machine-learning
- predictive-modeling
- islr
- statistical-learning
Plain python implementations of basic machine learning algorithms
- machine-learning
- logistic-regression
- ipynb
- machine-learning-algorithms
Learn Agentic AI using Dapr Agentic Cloud Ascent (DACA) Design Pattern and Agent-Native Cloud Technologies: OpenAI Agents SDK, Memory, MCP, A2A, Knowledge Graphs, Dapr, Rancher Desktop, and Kubernetes.
- agentic-ai
- langmem
- mcp
- openai-api
A modular Agentic RAG built with LangGraph — learn Retrieval-Augmented Generation Agents in minutes.
- agentic-ai
- agentic-rag
- agents
- rag
This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.
- deep-learning
- d2l
- data-science
- pytorch-implmention
OmniGen: Unified Image Generation. https://arxiv.org/pdf/2409.11340
- diffusion
- image
- image-generation
- multi-modal
Genome modeling and design across all domains of life
Hunyuan-DiT : A Powerful Multi-Resolution Diffusion Transformer with Fine-Grained Chinese Understanding
Segment Anything in High Quality [NeurIPS 2023]
- sam
- segmentation
- segment-anything
- zero-shot-segmentation
MongoDB's Generative AI Showcase: an exhaustive collection of examples and sample applications covering Retrieval-Augmented Generation (RAG), AI agents, and industry-specific use cases.
Text and supporting code for Think Stats, 2nd Edition
- data-science
- python
- statistics
- textbook
Generative AI reference workflows optimized for accelerated infrastructure and microservice architecture.
- gpu-acceleration
- large-language-models
- llm
- llm-inference