cbschen's repositories
awesome-virtual-try-on
A curated list of awesome research papers, projects, code, dataset, workshops etc. related to virtual try-on.
MIT-Course-18.065-18.0651
18.065/18.0651: Matrix Methods in Data Analysis, Signal Processing, and Machine Learning
StableVITON
[CVPR2024] StableVITON: Learning Semantic Correspondence with Latent Diffusion Model for Virtual Try-On
LeetCode-Go
โ Solutions to LeetCode by Go, 100% test coverage, runtime beats 100% / LeetCode ้ข่งฃ
DeepFaceLab
DeepFaceLab is the leading software for creating deepfakes.
tuning_playbook
A playbook for systematically maximizing the performance of deep learning models.
neurogym
A curated collection of neuroscience tasks with a common interface.
annotated_deep_learning_paper_implementations
๐งโ๐ซ 50! Implementations/tutorials of deep learning papers with side-by-side notes ๐; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), ๐ฎ reinforcement learning (ppo, dqn), capsnet, distillation, ... ๐ง
labml
๐ Monitor deep learning model training and hardware usage from your mobile phone ๐ฑ
Youtube-Code-Repository-philtabor-
Repository for most of the code from philtabor's YouTube channel
M3D-VTON
Official code for ICCV2021 paper "M3D-VTON: A Monocular-to-3D Virtual Try-on Network"
cloudml-samples
Cloud ML Engine repo. Please visit the new Vertex AI samples repo at https://github.com/GoogleCloudPlatform/vertex-ai-samples
executable-book-template
You can use the materials in this GitHub repository to host code and visualizations for your research projects!
course-content
Summer course content for Neuromatch Academy
mlcourse-ub-notebooks
Collection of iPython notebooks for UB CSE Machine Learning course (CSE 474/574)
neu560data
Datasets for NEU 560
NDN3
Upgraded NDN for Python3
dPCA
An implementation of demixed Principal Component Analysis (a supervised linear dimensionality reduction technique)
CSCI374_ML_final_submit
new repository for working scripts
deep-learning-coursera-forked-from-Kulbear-
Deep Learning Specialization by Andrew Ng on Coursera.
projects
My Data Science Projects from General Assembly