Research workflows made easy, locally and in the Cloud.
-
Updated
Apr 26, 2024 - Python
Research workflows made easy, locally and in the Cloud.
Here we will keep track of the AI Game Development Tools, including LLM, Agent, Code, Writer, Image, Texture, Shader, 3D Model, Animation, Video, Audio, Music, Singing Voice and Analytics. 🔥
Open-source backend for building stateful AI apps
Contains notebooks prepared for ML Bootcamp organized by Google Developers Launchpad.
MLMD: a programming-free AI platform to predict and design materials
Dive into the future of AI with CollaborativeAi.Software, your solution for using OpenAI's API to power ChatGPT on your server. Our platform simplifies running your ChatGPT, managing access for unlimited employees, creating custom AI assistants with your API, organizing employee groups, and using custom templates for a tailored experience.
A startup AI name generator using OpenAI APIs by Ali Solanki
React and React-Native SDK for integrating the Monk damage detection workflows into your apps.
Create, train and deploy AI models without writing code
Emotion AI (Sentiment Analysis) of Tweets using TextBlob and Django (Python)
Contains code to demonstrate distributed training in TensorFlow 2 with AI Platform and custom Docker contains.
Deploy FastAI Trained PyTorch Model in TorchServe and Host in GCP's AI-Platform Prediciton.
I got Google Cloud Certified. I have what it takes to leverage Google Cloud technology. Here my certification: https://www.credential.net/ee1bd2d6-fdb0-4037-8a8d-9afae3d79c86.
A framework that allows Detectron2, AdelaiDet, and D2Go training and evaluating on GCP's AI platform.
A Gatsby & Node.js powered app that utilizes the power of OpenAI's GPT-3 to make writing faster and more efficient.
Train Magenta DDSP Autoencoder on Google Cloud AI Platform.
A Flask web application on Heroku for acquiring fruit information from the simple act of uploading a picture, utilizing GCP AI Platform Prediction. Partner - https://github.com/a76jain
🐻🎷 Scalable Machine Learning (Recommender System) with Apache Beam, Google Dataflow and TensorFlow
Add a description, image, and links to the ai-platform topic page so that developers can more easily learn about it.
To associate your repository with the ai-platform topic, visit your repo's landing page and select "manage topics."