science's repositories
AppleStore-Monitor
Monitor robot of Apple Store's products, using DingTalk notification.
D3Feat.pytorch
[PyTorch] Implementation of CVPR'20 oral paper - D3Feat: Joint Learning of Dense Detection and Description of 3D Local Features https://arxiv.org/abs/2003.03164
OverlapPredator
[CVPR 2021, Oral] PREDATOR: Registration of 3D Point Clouds with Low Overlap.
AI-for-Healthcare-Project-using-NVIDIA-Jetson-Nano-2GB-Developer-kit
This project uses Deep learning concept in detection of Various Deadly diseases. It can Detect 1) Lung Cancer 2) Covid-19 3)Tuberculosis 4) Pneumonia. It uses CT-Scan and X-ray Images of chest/lung in detecting the disease. It has a Accuracy between 50%-80%. It can take input in any Image format or through Live videos and provide accurate output re
apple-store-helper
Apple Store iPhone预约助手
daily_fudan_1
因遗留原因，自动更新不好实现，本项目不再维护，新项目地址 https://github.com/Limour-dev/daily_fudan_actions
DeepInteract
A geometric deep learning pipeline for predicting protein interface contacts.
detectron2
Detectron2 is FAIR's next-generation platform for object detection, segmentation and other visual recognition tasks.
fukexue.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
instant-ngp
Instant neural graphics primitives: lightning fast NeRF and more
peft
🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
trl
Train transformer language models with reinforcement learning.
Tuberculosis_ChestXray_Classifier
Classification for chest X ray images of tuberculosis using PyTorch, Timm, and modified EfficientNet family. This repo is implemented to our paper Detection of tuberculosis from chest X-ray images: Boosting the performance with vision transformer and transfer learning" published on ESWA
TuberculosisNet
Open Source project to help predict Tuberculosis from chest X-Rays.
VRT
VRT: A Video Restoration Transformer (official repository)