Long Zhao's starred repositories
awesome-described-object-detection
A curated list of papers and resources related to Described Object Detection, Open-Vocabulary/Open-World Object Detection and Referring Expression Comprehension. Updated frequently and pull requests welcomed.
HOI-Learning-List
A list of Human-Object Interaction Learning.
RU-Thesis-Dissertation-Latex-Template
The LaTeX template for Rutgers MS Thesis or PhD Dissertation
Machine-Learning-Interviews
This repo is meant to serve as a guide for Machine Learning/AI technical interviews.
leetcode-linghu-templete
算法面试必备,推荐刷题网站www.lintcode.com。北大学霸的《LeetCode刷题模板》+V领取: jiuzhangfeifei
PyTorch-StudioGAN
StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation.
taming-transformers
Taming Transformers for High-Resolution Image Synthesis
HCN-PrototypeLoss-PyTorch
Hierarchical Co-occurrence Network with Prototype Loss for Few-shot Learning (PyTorch)
fucking-algorithm
刷算法全靠套路,认准 labuladong 就够了!English version supported! Crack LeetCode, not only how, but also why.
TCNActionRecognition
Skeleton based action recognition models with TCN variants for learning interpretable representation.
HCN-pytorch
A pytorch reproduction of { Co-occurrence Feature Learning from Skeleton Data for Action Recognition and Detection with Hierarchical Aggregation }.
data-science-interviews
Data science interview questions and answers
sngan_projection
GANs with spectral normalization and projection discriminator
Mutual-Information-Variational-Bounds
A Tensorflow implementation Mutual Information estimation methods
Frozen-Graph-TensorFlow
Save, Load Frozen Graph and Run Inference From Frozen Graph in TensorFlow 1.x and 2.x
tensorflow-maml
TensorFlow 2.0 implementation of MAML.
Beyond-Binary-Supervision-CVPR19
Official pytorch Implementation of Deep Metric Learning Beyond Binary Supervision, CVPR 2019
smile-mi-estimator
PyTorch implementation for the ICLR 2020 paper "Understanding the Limitations of Variational Mutual Information Estimators"