- San Francisco
- https://taranjeet.co/about
- @taranjeetio
- in/taranjeet7114
Starred repositories
Examples and guides for using the OpenAI API
A latent text-to-image diffusion model
Python Data Science Handbook: full text in Jupyter Notebooks
Learn how to develop, deploy and iterate on production-grade ML applications.
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
Python programs, usually short, of considerable difficulty, to perfect particular skills.
50+ tutorials and implementations for Generative AI Agent techniques, from basic conversational bots to complex multi-agent systems.
Welcome to the Llama Cookbook! This is your go to guide for Building with Llama: Getting started with Inference, Fine-Tuning, RAG. We also show you how to solve end to end problems using Llama mode…
A hands-on introduction to video technology: image, video, codec (av1, vp9, h265) and more (ffmpeg encoding). Translations: 🇺🇸 🇨🇳 🇯🇵 🇮🇹 🇰🇷 🇷🇺 🇧🇷 🇪🇸
This repository contains the source code for the paper First Order Motion Model for Image Animation
The "Python Machine Learning (1st edition)" book code repository and info resource
QLoRA: Efficient Finetuning of Quantized LLMs
Overview and tutorial of the LangChain Library
Recipes for using Python's pandas library
Python code for common Machine Learning Algorithms
Notebooks using the Hugging Face libraries 🤗
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 Kuberne…
Jupyter notebooks from the scikit-learn video series
A library of data loaders for LLMs made by the community -- to be used with LlamaIndex and/or LangChain
Optimized Stable Diffusion modified to run on lower GPU VRAM
Deep Learning tutorials in jupyter notebooks.
Implementing the 4 agentic patterns from scratch
Portfolio of data science projects completed by me for academic, self learning, and hobby purposes.
Vehicle detection using machine learning and computer vision techniques for Udacity's Self-Driving Car Engineer Nanodegree.
LSTM trained on the first five ASOIAF/GOT books
"Deep Learning with TensorFlow" LiveLessons
Official Implementation of Paella https://arxiv.org/abs/2211.07292v2





