🦜🔗 Build context-aware reasoning applications

A latent text-to-image diffusion model

Google Research

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

A game theoretic approach to explain the output of any machine learning model.

llama3 implementation one matrix multiplication at a time

FinRL: Financial Reinforcement Learning. 🔥

LAVIS - A One-stop Library for Language-Vision Intelligence

Code samples used on cloud.google.com

From the basics to slightly more interesting applications of Tensorflow

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

Repo for the Deep Reinforcement Learning Nanodegree program

Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distiller

For trading. Please star.

[ICML 2024] Mastering Text-to-Image Diffusion: Recaptioning, Planning, and Generating with Multimodal LLMs (RPG)

Tensorflow implementation of Fully Convolutional Networks for Semantic Segmentation (http://fcn.berkeleyvision.org)

Inference Code for Polygon-RNN++ (CVPR 2018)

Enabling journalists, citizen scientists, humanitarian workers and others to detect “patterns of interest” in satellite imagery.

PyTorch implementation of GAN-based text-to-speech synthesis and voice conversion (VC)

🧀 Code and models for the ICML 2023 paper "Grounding Language Models to Images for Multimodal Inputs and Outputs".