Implement a ChatGPT-like LLM in PyTorch from scratch, step by step

A latent text-to-image diffusion model

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 or handson-mlp instead.

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

Sample code and notebooks for Generative AI on Google Cloud, with Gemini on Vertex AI

This repository contains implementations and illustrative code to accompany DeepMind publications

Using Low-rank adaptation to quickly fine-tune diffusion models.

PyTorch code for BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation

Python code for common Machine Learning Algorithms

Collection of useful data science topics along with articles, videos, and code

VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.

My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entr…

Single-document unsupervised keyword extraction

Benchmark LLMs by fighting in Street Fighter 3! The new way to evaluate the quality of an LLM

Teaching materials for the machine learning and deep learning classes at Stanford and Cornell

Github repo with tutorials to fine tune transformers for diff NLP tasks

Train a state-of-the-art yolov3 object detector from scratch!

Cool experiments at the intersection of Computer Vision and Sports ⚽🏃

Activity Recognition from 2D pose using an LSTM RNN

Cutout / Random Erasing implementation, especially for ImageDataGenerator in Keras

15+ Machine/Deep Learning Projects in Ipython Notebooks

How to extract sentiment from opinions without any labels

Advanced analytics samples and templates with Python for ML Server

Code for the paper "Some Like it Hoax: Automated Fake News Detection in Social Networks" by E.Tacchini, G.Ballarin, M.L.Della Vedova, S.Moret and L.De Alfaro (2017)

book by Jason Brownlee

Various methods for drowsiness detection with Python.