Spatially Resolved Gene Expression Prediction from H&E Histology Images via Bi-modal Contrastive Learning

mclSTExp: Multimodal Contrastive Learning for Spatial Gene Expression Prediction Using Histology Images

DenseFuse (TIP2019) - Pytorch 0.4.1

DenseFuse (IEEE TIP 2019, Highly Cited Paper) - Python 3.6, TensorFlow 1.8.0

OpenMMLab Model Compression Toolbox and Benchmark.

OpenMMLab Detection Toolbox and Benchmark

机器学习算法的公式推导以及numpy实现

A cross-platform ChatGPT/Gemini UI (Web / PWA / Linux / Win / MacOS). 一键拥有你自己的跨平台 ChatGPT/Gemini 应用。

A curated list of awesome C++ (or C) frameworks, libraries, resources, and shiny things. Inspired by awesome-... stuff.

Qalculate! library and CLI

🔥 Linux下C++轻量级WebServer服务器

Code for visualizing the loss landscape of neural nets

(Unofficial) Data-Distortion Guided Self-Distillation for Deep Neural Networks (AAAI 2019)

Fast Fourier Transform-accelerated Interpolation-based t-SNE (FIt-SNE)

🔥数据科学竞赛 Baseline & Topline

[ICML 2022] This work investigates the compatibility between label smoothing (LS) and knowledge distillation (KD). We suggest to use an LS-trained teacher with a low-temperature transfer to render …

A memory-efficient implementation of DenseNets

Distilling Knowledge via Knowledge Review, CVPR 2021

Official PyTorch implementation of PS-KD

Open Source Neural Machine Translation and (Large) Language Models in PyTorch

Official implementation for paper "Relational Surrogate Loss Learning", ICLR 2022

Black-box Few-shot Knowledge Distillation