YuLan: An Open-Source Large Language Model

A comprehensive library for implementing LLMs, including a unified training pipeline and comprehensive model evaluation.

The official GitHub page for the survey paper "A Survey of Large Language Models".

This repository is the official implementation of DiffuStereo: High Quality Human Reconstruction via Diffusion-based Stereo Using Sparse Cameras.

LLM (Large Language Model) FineTuning

[ICML 2024] Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model

Image Segmentation Techniques on the ISBI 2012 dataset: http://brainiac2.mit.edu/isbi_challenge/

中国大模型

The official implementation of the paper: "SST: Multi-Scale Hybrid Mamba-Transformer Experts for Long-Short Range Time Series Forecasting"

Jittor Medical Segmentation Lib -- The assignment of Pattern Recognition course (2021 Spring) in Tsinghua University

Learning materials, files and codes for bioinformatics

Evolutionary Scale Modeling (esm): Pretrained language models for proteins

Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.

Create a docker image for running ESMFold, solved conflicts between ESMFold and OpenFold dependencies

Implementation of DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking

Trainable, memory-efficient, and GPU-friendly PyTorch reproduction of AlphaFold 2

An ultra-fast all-in-one FASTQ preprocessor (QC/adapters/trimming/filtering/splitting/merging...)

Tools for working with SAM/BAM data

(CVPR2021) DANNet: A One-Stage Domain Adaptation Network for Unsupervised Nighttime Semantic Segmentation

[CVPR 2023] Label-Free Liver Tumor Segmentation

Adapting Segment Anything Model for Medical Image Segmentation

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

医学影像数据集列表 『An Index for Medical Imaging Datasets』

Remarkable advances in next-generation sequencing technology enable the wide usage of sequencing as a clinical tool. Here, we conducted a large-scale prospective clinical sequencing program using t…

Code for Machine Learning for Algorithmic Trading, 2nd edition.

论文实验数据绘图（CS类）

泡芙云官网地址