Lightweight coding agent that runs in your terminal

This repository contains the official implementation of "FastVLM: Efficient Vision Encoding for Vision Language Models" - CVPR 2025

MiMo: Unlocking the Reasoning Potential of Language Model – From Pretraining to Posttraining

Expert Parallelism Load Balancer

A python client + documentation for the Colmi R02 smart ring

Official Release of NeurIPS 2023 Spotlight paper "Object-Centric Slot Diffusion"

Rich-Text-to-Image Generation

FreeU: Free Lunch in Diffusion U-Net (CVPR2024 Oral)

A latent text-to-image diffusion model

Taming Transformers for High-Resolution Image Synthesis

Contains all important data structure and algorithms problems asked in interviews

🍡 LeetCode Online Judge刷题题解(Java/C++/Python/Ruby/Swift)

Official PyTorch implementation of the NeurIPS 2022 paper "Improving Diffusion Models for Inverse Problems using Manifold Constraints (https://arxiv.org/abs/2206.00941)"

Reference implementation for Deep Unsupervised Learning using Nonequilibrium Thermodynamics

Noise Conditional Score Networks (NeurIPS 2019, Oral)

Official PyTorch implementation of the paper Progressive Deblurring of Diffusion Models for Coarse-to-Fine Image Synthesis.

Using pre-trained Diffusion models as priors for inference tasks

Official implementation for Estimating the Optimal Covariance with Imperfect Mean in Diffusion Probabilistic Models (ICML 2022), and a reimplementation of Analytic-DPM: an Analytic Estimate of the …

Text-based real image editing with stable diffusion models

Yet another PyTorch implementation of Stable Diffusion (probably easy to read)

🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.

This code reproduces the results of the paper, "Measuring Data Leakage in Machine-Learning Models with Fisher Information"

Library of contextual bandits algorithms

Continual Learning with Hypernetworks. A continual learning approach that has the flexibility to learn a dedicated set of parameters, fine-tuned for every task, that doesn't require an increase in …

Neural Networks and Deep Learning, NUS CS5242, 2021

Bayesian active learning library for research and industrial usecases.

Uncertainty Quantification 360 (UQ360) is an extensible open-source toolkit that can help you estimate, communicate and use uncertainty in machine learning model predictions.