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Name: Dattatray
Type: User
Company: Accenture
Bio: Currently working in Generative AI, LLMs, Domain-specific foundation models, RAG, AI Accelerators.
Location: Pune
Name: Dattatray
Type: User
Company: Accenture
Bio: Currently working in Generative AI, LLMs, Domain-specific foundation models, RAG, AI Accelerators.
Location: Pune
List of references and online resources related to data science, machine learning and deep learning.
Seed project for Angular apps on Bluemix with a pre-configured Delivery Pipeline & Active Deploy
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
Audio File classification in Python
Curated list of awesome tools, demos, docs for ChatGPT and GPT-3
This repo includes ChatGPT prompt curation to use ChatGPT better.
A curated list of awesome Machine Learning frameworks, libraries and software.
A topic-centric list of high-quality open datasets in public domains. By everyone, for everyone!
TensorFlow - A curated list of dedicated resources http://tensorflow.org
This project will give idea regarding use of LSTM (RNN) models for classification problem with keras in python
coursera deep learning specialization - notes
Coursera Hilton Neural Networks for Machine Learning - My study
Set up for the scrapy application
Single Image Crowd Counting via MCNN (Unofficial Implementation)
Tutorials for DataCamp (www.datacamp.com)
Semantic Text Similarity Dataset Hub
Tensorflow based implementation of deep siamese LSTM network to capture phrase/sentence similarity using character embeddings
deeplearning.ai , By Andrew Ng, All slide and notebook + data (without solution) and video link
Notebooks for learning deep learning
Implementation of Input Stationary, Weight Stationary and Output Stationary dataflow for given neural network on a tiled architecture
This Repo houses projects that promote and display Fair, Explainable and Automated or Semi-Automated Artificial Intelligence.
Faster R-CNN for Open Images Dataset by Keras
Faster_RCNN_with_keras
This repository meticulously compiles a curated collection of seminal papers and resources in generative AI. It encompasses a comprehensive range of topics including, but not limited to, Transformers, Foundation Models, Fine-tuning Techniques, Pre-emptive Strategies, Efficient GPT Variants, Robust AI (RAI) Practices, LLMOPS, and Frugal AI.
Topic Modelling for Humans
Git Commands
heelo_flask
A Developer Study Guide for Exam C7020-230 - IBM Watson V3 Application Development
Deep Learning for humans
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.