21 Lessons, Get Started Building with Generative AI

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

Python Data Science Handbook: full text in Jupyter Notebooks

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.

Code release for NeRF (Neural Radiance Fields)

[NeurIPS 2024 Best Paper Award][GPT beats diffusion🔥] [scaling laws in visual generation📈] Official impl. of "Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction". A…

OpenMMLab Multimodal Advanced, Generative, and Intelligent Creation Toolbox. Unlock the magic 🪄: Generative-AI (AIGC), easy-to-use APIs, awsome model zoo, diffusion models, for text-to-image genera…

Notebooks for learning deep learning

Efficient Image Captioning code in Torch, runs on GPU

Official Implementation for "Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation" (CVPR 2021) presenting the pixel2style2pixel (pSp) framework

Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL

100 data puzzles for pandas, ranging from short and simple to super tricky (60% complete)

A collection of 360+ Jupyter Python notebook examples for using Google Earth Engine with interactive mapping

A collection of Reinforcement Learning algorithms from Sutton and Barto's book and other research papers implemented in Python.

Implementations of a number of generative models in Tensorflow 2. GAN, VAE, Seq2Seq, VAEGAN, GAIA, Spectrogram Inversion. Everything is self contained in a jupyter notebook for easy export to colab.

Implementation of Everybody Dance Now by pytorch

Diffusion attentive attribution maps for interpreting Stable Diffusion.

Reference code for "Motion-supervised Co-Part Segmentation" paper

[ICCV 2019, Oral] Controllable Artistic Text Style Transfer via Shape-Matching GAN

Convert human motion from video to .bvh

Rethinking Data Augmentation for Image Super-resolution (CVPR 2020)

Learning to ground explanations of affect for visual art.

From baby GPT to diffusion GPT: An annotated implementation of a character-level discrete diffusion model (adapted from Karpathy’s baby GPT).

Official implementation of "Normalized Attention Guidance"

An implementation of Pix2Pix in Tensorflow for use with frames from films

Arabic root finder with neural nets!

This repository contains the daily updates made during the 60daysofudacity challenge. This was an initiative from the Secure and Private AI Challenge Scholarship program.