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awesome-readme

A curated list of awesome READMEs

best-readme-template

An awesome README template to jumpstart your projects!

contextvqa

deep_aca

Transformer-Based Conditional Adversarial Domain Adaptation in Amplification Curve Analysis

disc-diff

【MICCAI 2023, Early accept】DisC-Diff: Disentangled Conditional Diffusion Model for Multi-Contrast MRI Super-Resolution

dlamp-qlamp

face_detection-recognition-system

Face_Detection&Recognition System

fox-rabbit-ye-project

write ppa coursework

guided-diffusion

improved-diffusion

Release for Improved Denoising Diffusion Probabilistic Models

int-project

AI-Planning sweet website

mcm

minet

【MICCAI 2021, Early accept】Multi-Contrast MRI Super-Resolution via a Multi-Stage Integration Network

opendlign

Offical Repository: OpenDlign: Enhancing Open-World 3D Learning with Depth-Aligned Images

openshape_code

official code of “OpenShape: Scaling Up 3D Shape Representation Towards Open-World Understanding”

qcontext

recover-sparse-signals-from-under-sampled-observations

Recover sparse signals by orthogonal matching pursuit, iterative hard-thresholding, subspace pursuit methods.

smart-agriculture-using-iot-and-machine-learning

The project uses Arduino UNO with multiple sensors attached to it like Soil Moisture sensor, Photoelectric Diode Sensor,Humidity sensor etc that takes reading on a periodic basis.The mission of the project is to intimate the farmers or other stakeholders in predicting when the crop is about to deteriorate. This is accomplished by a Machine Learning Layer that has been modeled to identify the degradation of a crop's health before its degradation starts. It uses KNN-algorithm to cluster the crops according to the impeding eventuality.The next iteration identifies the most probable cause and thorugha UI intimates the stakeholder whta steps needs to be taken to prevent crop-failure

stable-diffusion

A latent text-to-image diffusion model

string-sanitization-project

A Novel Strategy for Minimizing Data Utility Loss

team_kingsmen-trafficsimulation

King's College London MSc Group Project Module 2016

transferlearning

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

tuning_playbook

A playbook for systematically maximizing the performance of deep learning models.

ulip

uni3d

[ICLR'24 Spotlight] Uni3D: 3D Visual Representation from BAAI

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