Lists (11)
Stars
Learning Continuous Image Representation with Local Implicit Image Function, in CVPR 2021 (Oral)
[IJCV2024] Exploiting Diffusion Prior for Real-World Image Super-Resolution
Unofficial implementation of Image Super-Resolution via Iterative Refinement by Pytorch
🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.
A collection of high-impact and state-of-the-art SR methods
a variational autoencoder method for clustering single-cell mutation data
Insight Toolkit (ITK) -- Official Repository. ITK builds on a proven, spatially-oriented architecture for processing, segmentation, and registration of scientific images in two, three, or more dime…
🔥 Open-source no-code web data extraction platform. Turn websites to APIs and spreadsheets with no-code robots in minutes! [In Beta]
Methods and Implements of Deep Clustering
Probabilistic model for inferring clonal population structure from deep NGS sequencing.
A curated list of awesome prompt/adapter learning methods for vision-language models like CLIP.
An educational resource to help anyone learn deep reinforcement learning.
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
NEAT (NExt-generation Analysis Toolkit) simulates next-gen sequencing reads and can learn simulation parameters from real data.
AI for Science 论文解读合集（持续更新ing），论文/数据集/教程下载：hyper.ai
基于深度学习的肿瘤辅助诊断系统，以图像分割为核心，利用人工智能完成肿瘤区域的识别勾画并提供肿瘤区域的特征来辅助医生进行诊断。有完整的模型构建、后端架设、工业级部署和前端访问功能。TensorRT、PyTorch 、OpenCV 、Flask、Vue
✨基于 3D 卷积神经网络(CNN)的阿尔兹海默智能诊断 Web 应用 Alzheimer's Intelligent Diagnosis Web Application based on 3D Convolutional Neural Network and the ADNI Dataset ✨ (with README in English) 🚩：图像识别可视化界面，快速部署深度学习模型…
A resource for learning about Machine learning & Deep Learning
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
A curated list of resources for using LLMs to develop more competitive grant applications.