pkulwj1994

diff_instruct

official code for Diff-Instruct algorithm for one-step diffusion distillation

3DFuse

Official implementation of "Let 2D Diffusion Model Know 3D-Consistency for Robust Text-to-3D Generation"

3dgp

3D generation on ImageNet [ICLR 2023]

awesome-demos

links and status of cool gradio demos

BLIP

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

Coin-SVGD

Code for "Coin Sampling: Gradient-Based Bayesian Inference without Learning Rates" (ICML 2023)

consistency_models

Official repo for consistency models.

dalle-mini

DALL·E Mini - Generate images from a text prompt

DG

Official repo for Discriminator Guidance.

DG_imagenet

Official repo for Discriminator Guidance for ImageNet256.

edit3d

Code for Cross-Modal 3D Shape Generation and Manipulation (ECCV 2022)

fast-stable-diffusion

fast-stable-diffusion + DreamBooth

Fengshenbang-LM

Fengshenbang-LM(封神榜大模型)是IDEA研究院认知计算与自然语言研究中心主导的大模型开源体系，成为中文AIGC和认知智能的基础设施。

flash-attention

Fast and memory-efficient exact attention

GigaGAN

IF

kaolin

A PyTorch Library for Accelerating 3D Deep Learning Research

mae

PyTorch implementation of MAE https//arxiv.org/abs/2111.06377

minddiffusion

A collection of diffusion models based on MindSpore

NeuralMJP

Code accompanying the paper "Neural Markov Jump Processes" published at ICML 2023.

open_clip

An open source implementation of CLIP.

ParEM

Code for "Particle algorithms for maximum likelihood training of latent variable models" (Kuntz, Lim, Johansen, AISTATS, 2023).

pkulwj1994.github.io

Weijian Luo homepage

poisson-jump

Official Implementation of Paper "Learning to Jump: Thinning and Thickening Latent Counts for Generative Modeling" (ICML 2023)

RCFD

[ICME-2023] Official implementation for "Accelerating Diffusion Sampling with Classifier-based Feature Distillation".

RWKV-LM

RWKV is an RNN with transformer-level LLM performance. It can be directly trained like a GPT (parallelizable). So it's combining the best of RNN and transformer - great performance, fast inference, saves VRAM, fast training, "infinite" ctx_len, and free sentence embedding.

shap-e

Generate 3D objects conditioned on text or images

SnapFusion

stylegan-xl

[SIGGRAPH'22] StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets

threestudio

A unified framework for 3D content generation.