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Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
The fastai book, published as Jupyter Notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Neural Networks: Zero to Hero
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
Free MLOps course from DataTalks.Club
FinRL®: Financial Reinforcement Learning. 🔥
Learn ML engineering for free in 4 months! Register here 👇🏼
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.
Lists of company wise questions available on leetcode premium. Every csv file in the companies directory corresponds to a list of questions on leetcode for a specific company based on the leetcode …
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
Lab Materials for MIT 6.S191: Introduction to Deep Learning
LLM Zoomcamp - a free online course about real-life applications of LLMs. In 10 weeks you will learn how to build an AI system that answers questions about your knowledge base.
Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep N…
Homepage for STAT 157 at UC Berkeley
All notes and materials for the CS229: Machine Learning course by Stanford University
A comprehensive guide to building RAG-based LLM applications for production.
🤖 Interactive Machine Learning experiments: 🏋️models training + 🎨models demo
This repository contains mini projects in machine learning with notebook files
Complete deep learning project developed in Full Stack Deep Learning, 2022 edition. Generated automatically from https://github.com/full-stack-deep-learning/fsdl-text-recognizer-2022
Python code accompanying the course "A deep understanding of deep learning (with Python intro)"
Shortest solutions for CS231n 2021-2025
Deep Learning Fundamentals -- Code material and exercises
Contains all course modules, exercises and notes of ML Specialization by Andrew Ng, Stanford Un. and DeepLearning.ai in Coursera
Acquiring data from Alpha Vantage and predicting stock prices with PyTorch's LSTM
Four Courses Specialization Tensorflow in practise Specialization