A latent text-to-image diffusion model

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.

TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

Google Research

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

Instruct-tune LLaMA on consumer hardware

StableLM: Stability AI Language Models

This repository contains implementations and illustrative code to accompany DeepMind publications

High-Resolution Image Synthesis with Latent Diffusion Models

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

tensorflow2中文教程，持续更新(当前版本:tensorflow2.0)，tag: tensorflow 2.0 tutorials

李宏毅2021/2022/2023春季机器学习课程课件及作业

Chinese version of CLIP which achieves Chinese cross-modal retrieval and representation generation.

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

The hub for EleutherAI's work on interpretability and learning dynamics

TradeMaster is an open-source platform for quantitative trading empowered by reinforcement learning 🔥 ⚡ 🌈

tensorflow implementation

Official implementation of Diffusion Autoencoders

Multi Task Vision and Language

My attempt at reproducing the paper Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection

Training-Free Structured Diffusion Guidance for Compositional Text-to-Image Synthesis

Contrastive PCA

Duke-Tsinghua Machine Learning Summer School 2017

Instruct-tuning LLaMA on consumer hardware

Retrieval augmented diffusion from CompVis.

Unified Representations of Structured and Unstructured Knowledge for Open-Domain Question Answering