Zijian Du's repositories
quantum
Hybrid Quantum-Classical Machine Learning in TensorFlow
machine-learning-interview-enlightener
This repo is meant to serve as a guide for Machine Learning/AI technical interviews.
detectron2
Detectron2 is FAIR's next-generation platform for object detection, segmentation and other visual recognition tasks.
machine-learning-interview
Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.
google-research
Google Research
yolov5
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
fiftyone
The open-source tool for building high-quality datasets and computer vision models
darknet
YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )
yolov3
YOLOv3 in PyTorch > ONNX > CoreML > TFLite
LeetCode-1
This repository contains the solutions and explanations to the algorithm problems on LeetCode. Only medium or above are included. All are written in C++/Python and implemented by myself. The problems attempted multiple times are labelled with hyperlinks.
machine-learning-systems-design
A booklet on machine learning systems design with exercises: https://huyenchip.com/machine-learning-systems-design/toc.html
mmdetection
OpenMMLab Detection Toolbox and Benchmark
transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
SETR
[CVPR 2021] Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers
segmenter
[ICCV2021] Official PyTorch implementation of Segmenter: Transformer for Semantic Segmentation
research-contributions
Implementations of recent research prototypes/demonstrations using MONAI.
DPT
Dense Prediction Transformers
PlotNeuralNet
Latex code for making neural networks diagrams
pytorch-cifar
95.47% on CIFAR10 with PyTorch
PyTorch-VAE
A Collection of Variational Autoencoders (VAE) in PyTorch.
robustness-vit
Contains code for the paper "Vision Transformers are Robust Learners" (AAAI 2022).
Deep-Learning-In-Production
Build, train, deploy, scale and maintain deep learning models. Understand ML infrastructure and MLOps using hands-on examples.
MLQuestions
Machine Learning and Computer Vision Engineer - Technical Interview Questions
ps4
assignment4 for CV
student-teacher-anomaly-detection
Student–Teacher Anomaly Detection with Discriminative Latent Embeddings
outlier-exposure
Deep Anomaly Detection with Outlier Exposure (ICLR 2019)
TransUNet
This repository includes the official project of TransUNet, presented in our paper: TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation.
SelfDeblur
Neural Blind Deconvolution Using Deep Priors (CVPR 2020)