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🔊 Text-Prompted Generative Audio Model
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
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…
Examples and guides for using the Gemini API
Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.
The 3rd edition of course.fast.ai
Jupyter notebooks for the Natural Language Processing with Transformers book
A library of data loaders for LLMs made by the community -- to be used with LlamaIndex and/or LangChain
Jupyter Notebooks to help you get hands-on with Pinecone vector databases
Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoe…
A colab gradio web UI for running Large Language Models
Building Apps with LLMs
Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencode…
A script that creates train, valid and test datasets for the ranking task from Ubuntu corpus dialogs.
Implementation of Bayesian Hyperparameter Optimization of Machine Learning Algorithms
This repository contains the best Data Science free hand-picked resources to equip you with all the industry-driven skills and interview preparation kit.
Repository for all of the code that was written for the FreeCodeCamp Course and the answers for all of the exercises.
Introduction to ML packages for the 6.86x course
Code related to my YouTube vids!
This is the Seaborn cheat sheet I made to go along with my Seaborn Tutorial Series
This is the cheat sheet Jupyter Notebook I made for my Matplotlib Learn in One Video Tutorial. I basically condensed the Matplotlib API down into this one cheat sheet with tons of examples.
A task-agnostic vision-language architecture as a step towards General Purpose Vision
A simple Jupyter Notebook walking through how to perform time series forecasting with Facebook Prophet.
A repo for all the relevant code notebooks and datasets used in my Machine Learning tutorial videos on YouTube