Pinned Repositories
agile-final-project
ai-workflow-capstone
IBM AI Enterprise Workflow Capstone
ai-workflow-capstone-soln
Repo for solution files for capstone project of AI enterprise workflow course on Coursera
Auto-GPT
An experimental open-source attempt to make GPT-4 fully autonomous.
awesome-langchain
😎 Awesome list of tools and projects with the awesome LangChain framework
awesome-notebooks
Ready to use data science templates, organized by tools to jumpstart your projects and data products in minutes. 😎 published by the Naas community.
awesome-public-datasets
A topic-centric list of HQ open datasets.
Capstone_Project_AI-Enterprise
ChatDoctor
TypeScript-React-Starter
A starter template for TypeScript and React with a detailed README describing how to use the two together.
ekharitonov's Repositories
ekharitonov/Capstone_Project_AI-Enterprise
ekharitonov/ChatDoctor
ekharitonov/agile-final-project
ekharitonov/Auto-GPT
An experimental open-source attempt to make GPT-4 fully autonomous.
ekharitonov/awesome-langchain
😎 Awesome list of tools and projects with the awesome LangChain framework
ekharitonov/awesome-notebooks
Ready to use data science templates, organized by tools to jumpstart your projects and data products in minutes. 😎 published by the Naas community.
ekharitonov/awesome-public-datasets
A topic-centric list of HQ open datasets.
ekharitonov/AWS-SAA-CO3
This is a public repository for the notes I used to prepare for the AWS Solutions Architect Associate Certification. The sources that I used to prepare are as follows: Adrian Cantrill - cantrill.io (primary theory), Stephane Mareek - Udemy (secondary theory/review), Tutorials Dojo (primary practice exams), WhizLabs (secondary practice exams).
ekharitonov/chatgpt-plugin-store
ChatGPT Plugin Store List
ekharitonov/Data-science
Collection of useful data science topics along with articles, videos, and code
ekharitonov/datasets
🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools
ekharitonov/dbldatagen
Generate relevant synthetic data quickly for your projects. The Databricks Labs synthetic data generator (aka `dbldatagen`) may be used to generate large simulated / synthetic data sets for test, POCs, and other uses in Databricks environments including in Delta Live Tables pipelines
ekharitonov/ekharitonov.github.io
ekharitonov/generative_agents
Generative Agents: Interactive Simulacra of Human Behavior
ekharitonov/gpt-engineer
Specify what you want it to build, the AI asks for clarification, and then builds it.
ekharitonov/gpt4-pdf-chatbot-langchain
GPT4 & LangChain Chatbot for large PDF docs
ekharitonov/gpt4all
gpt4all: a chatbot trained on a massive collection of clean assistant data including code, stories and dialogue
ekharitonov/IoT-Sensors-Experiments
ekharitonov/Machine-Learning-Case-Studies
Machine Learning Case Studies using Classical Machine Learning and Deep Learning Algorithms, Various Projects from multiple domains of Machine Learning.
ekharitonov/mimesis
Mimesis is a powerful Python library that empowers developers to generate massive amounts of synthetic data efficiently.
ekharitonov/miro-app-examples
Miro Developer Platform App Examples
ekharitonov/mlflow
Open source platform for the machine learning lifecycle
ekharitonov/notebooks
Set of Jupyter Notebooks linked to Roboflow blog posts and used in our YouTube videos.
ekharitonov/plugins-quickstart
Get a ChatGPT plugin up and running in under 5 minutes!
ekharitonov/pybroker
Algorithmic Trading in Python with Machine Learning
ekharitonov/pygwalker
PyGWalker: Turn your pandas dataframe into a Tableau-style User Interface for visual analysis
ekharitonov/singlestoredb-samples
Find script examples that you can run out of the box in your SingleStoreDB.
ekharitonov/super-gradients
Easily train or fine-tune SOTA computer vision models with one open source training library. The home of Yolo-NAS.
ekharitonov/tensorflow
An Open Source Machine Learning Framework for Everyone
ekharitonov/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.