🦜🔗 Build context-aware reasoning applications

A latent text-to-image diffusion model

21 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

Google Research

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.

Kolmogorov Arnold Networks

High-Resolution Image Synthesis with Latent Diffusion Models

All course materials for the Zero to Mastery Deep Learning with TensorFlow course.

Keras documentation, hosted live at keras.io

Structured state space sequence models

Paper reading notes on Deep Learning and Machine Learning

A PyTorch implementation of the paper "All are Worth Words: A ViT Backbone for Diffusion Models".

Official Jax Implementation of MaskGIT

Prune a model while finetuning or training.

Huggingface compatible implementation of RetNet (Retentive Networks, https://arxiv.org/pdf/2307.08621.pdf) including parallel, recurrent, and chunkwise forward.

[CVPR2023] Leapfrog Diffusion Model for Stochastic Trajectory Prediction

[ACMMM 2021 Oral] Enhanced Invertible Encoding for Learned Image Compression

[ICML 2020] Continuously Indexed Domain Adaptation

Includes PyTorch -> Keras model porting code for ConvNeXt family of models with fine-tuning and inference notebooks.

Official implementation of the ICCV 2023 paper "ADAPT: Efficient Multi-Agent Trajectory Prediction with Adaptation"

[ICLR 2024] Official code for the paper "LLM Blueprint: Enabling Text-to-Image Generation with Complex and Detailed Prompts"

Sequence Modeling with Structured State Spaces

High-Resolution Image Synthesis with Latent Diffusion Models

This repository contains the code for the paper What Truly Matters in Trajectory Prediction for Autonomous Driving?