Shashipal's Projects
Course notebooks and all the code for the first LLM course.
Practical best practices for distilling large language models.
🔮 LLM GPU Calculator
Material for the series of seminars on Large Language Models
Implementing a ChatGPT-like LLM from scratch, step by step
Developer APIs to Accelerate LLM Projects
Providing enterprise-grade LLM-based development framework, tools, and fine-tuned models.
🤖 Lobe Chat - an open-source, high-performance chatbot framework that supports speech synthesis, multimodal, and extensible Function Call plugin system. Supports one-click free deployment of your private ChatGPT/LLM web application.
Logistic Regression on Pima Indians Diabetes Database using Pytorch
Multi-LoRA inference server that scales to 1000s of fine-tuned LLMs
Render After Effects animations natively on Web, Android and iOS, and React Native. http://airbnb.io/lottie/
A RAG LLM co-pilot for browsing the web, powered by local LLMs
Implementation of various Machine learning and MLOps applications/tutorials used within my Medium blog.
Classical equations and diagrams in machine learning
Code Repository for Machine Learning, Data Science and Generative AI with Python, Published by Packt
Start writing machine learning code in just 10 hours
Imbalanced Datasets in ML, published by Packt
Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.
This repo is meant to serve as a guide for Machine Learning/AI technical interviews.
This project is focused on the Deployment phase of machine learning. The Docker and FastAPI are used to deploy a dockerized server of trained machine learning pipeline.
Machine learning project structure sample
Machine Learning Security With Azure, published by Packt
A booklet on machine learning systems design with exercises
Collaborative book for CS249r: Tiny Machine Learning
Machine Learning Techniques for Text, Published by Packt
machine learning and deep learning tutorials, articles and other resources
Learn Machine Learning using PySpark from scratch
Machine Learning with R, Fourth Edition- published by Packt