Consistency Models Made Easy

Official repo for consistency models.

Denoising Diffusion Implicit Models

Official Repository of the paper "Trajectory Consistency Distillation"

Generative Models by Stability AI

Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference

[ICLR'23 Spotlight] gDDIM: analyze and accelerate general diffusion models, isotropic and non-isotropic

Code for DiffSTG

Code for *ScoreGrad: Multivariate Probabilistic Time Series Forecasting with Continuous Energy-based Generative Models*

Unofficial PyTorch implementation of Denoising Diffusion Probabilistic Models

扩散模型200行代码实现。Denoising Diffusion Probabilistic Models (DDPM)

算法竞赛模板库 by 灵茶山艾府 💭💡🎈

A generative speech model for daily dialogue.

Easy-to-use Speech Toolkit including Self-Supervised Learning model, SOTA/Streaming ASR with punctuation, Streaming TTS with text frontend, Speaker Verification System, End-to-End Speech Translatio…

PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）

My notebook of CS learning.

Official repository for "Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing". Your efficient and high-quality synthetic data generation pipeline!

General technology for enabling AI capabilities w/ LLMs and MLLMs

Retrieval and Retrieval-augmented LLMs

RECOMP: Improving Retrieval-Augmented LMs with Compression and Selective Augmentation.

Inference code for Llama models

这是基于降维思想的生成对抗网络图像生成的实现代码

Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research, and create the value of AI technologies in quantitative investment. With Qlib, yo…

The official implementation for ICLR23 spotlight paper "DIFFormer: Scalable (Graph) Transformers Induced by Energy Constrained Diffusion"

Official implementation for "iTransformer: Inverted Transformers Are Effective for Time Series Forecasting" (ICLR 2024 Spotlight), https://openreview.net/forum?id=JePfAI8fah

Codes for "CSDI: Conditional Score-based Diffusion Models for Probabilistic Time Series Imputation"

PyTorch implementation for Paper "StockFormer: Learning Hybrid Trading Machines with Predictive Coding".

Autoregressive Denoising Diffusion Models for Multivariate Probabilistic Time Series to benchmark datasets from different domains

A comprehensive dataset for stock movement prediction from tweets and historical stock prices.

Implementation of the node2vec algorithm.