Zifeng's Projects
ACNet: Attention Complementary Network for RGBD semantic segmentation
Alpaca-LoRA as Chatbot service
some bravo or inspiring research works on the topic of curriculum learning
My B.E. graduate project codes.
ICLR'24 | BioBridge: Bridging Biomedical Foundation Models via Knowledge Graphs
An open dataset for semantic segmentation on construction site, released by the paper: "Deep Semantic Segmentation for Visual Understanding on Construction Sites".
My CUDA C practices while learning the CUDA C Programming Introduction.
Official Implementation of Information Theoretic Counterfactual Learning from Missing Not At Random Feedback. NeurIPS 2020.
【PyTorch】Easy-to-use,Modular and Extendible package of deep-learning based CTR models.
Read the Docs 最佳实践
A demo on face detection, classification and verification via tensorflow.
Resources and Implementations of Generative Adversarial Nets: GAN, DCGAN, WGAN, CGAN, InfoGAN
Evaluate Generative Relation Extraction
A collection of Python scripts that generates a scholar's impact chart and helps create a map of countries from which the scholar is cited
Graph4nlp is the library for the easy use of Graph Neural Networks for NLP. Welcome to visit our DLG4NLP website (https://dlg4nlp.github.io/index.html) for various learning resources!
Calculates the Hurst exponent of a time series based on Rescaled range (R/S) analysis.
How to use ILSVRC2015 video data for object tracking train and test.
Official Implementation of Unweighted Data Subsampling via Influence Function - AAAI 2020
AAAI 2020 - InteractE: Improving Convolution-based Knowledge Graph Embeddings by Increasing Feature Interactions
This repository is just for test
The homework of the course Learning From Data taught by Prof.HUANG in Tsinghua-Berkeley Shenzhen Institute(TBSI).
Programming Assignments for the Learning From Data taught by Professor Yang Li from TBSI.
一键解决知乎导入Markdown文件时图片和公式等问题。
EMNLP'22 | MedCLIP: Contrastive Learning from Unpaired Medical Images and Texts
The code for the paper "MediTab: Scaling Medical Tabular Data Predictors via Data Consolidation, Enrichment, and Refinement"