Taylor Qin's Projects
Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
Open-source toolbox for visual fashion analysis based on PyTorch
Command line utility for forced alignment using Kaldi
An AI for Music Generation
The Music Ontology Specification provides main concepts and properties fo describing music (i.e. artists, albums, tracks, but also performances, arrangements, etc.) on the Semantic Web.
[ICCV 2021] Our work presents a novel neural rendering approach that can efficiently reconstruct geometric and neural radiance fields for view synthesis.
Code release for NeRF (Neural Radiance Fields)
A PyTorch implementation of NeRF (Neural Radiance Fields) that reproduces the results.
A collaboration friendly studio for NeRFs
Repository for tutorial on Neural ODEs prepared for the UCL AI Society
The repository for CVPR 2022 Paper "Neural 3D Video Synthesis"
Multi-view 3D reconstruction using neural rendering. Unofficial implementation of UNISURF, VolSDF, NeuS and more.
YSDA course in Natural Language Processing
Robust Object Classification of Occluded Objects in Forward Looking Infrared (FLIR) Cameras
Zishan (Taylor) Qin's personal website
Self-Supervised Learning Toolbox and Benchmark
This is a guide for sharing best practices in furtherance of our open source projects
PaddlePaddle GAN library, including lots of interesting applications like First-Order motion transfer, Wav2Lip, picture repair, image editing, photo2cartoon, image style transfer, GPEN, and so on.
source code for Stable Diffusion with Perp-Neg
An integrated CGRA design framework
Code for "Point-based Multi-view Stereo Network" (ICCV 2019 Oral) & "Visibility-aware Point-based Multi-view Stereo Network" (TPAMI)
Code for CVPR'2022 paper ✨ "Predict, Prevent, and Evaluate: Disentangled Text-Driven Image Manipulation Empowered by Pre-Trained Vision-Language Model"
DL course co-developed by YSDA, HSE and Skoltech
Repository of notes, code and notebooks in Python for the book Pattern Recognition and Machine Learning by Christopher Bishop
A notebook working with Python and MySQL, using MySQL Connector.
A clean and readable Pytorch implementation of CycleGAN
Pytorch implementation of cnn network
PyTorch Tutorial for Deep Learning Researchers