Dong-Jie-Chen
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The official repo for the paper "VeCLIP: Improving CLIP Training via Visual-enriched Captions"
A Unified Semi-Supervised Learning Codebase (NeurIPS'22)
Official implementation of SCLIP: Rethinking Self-Attention for Dense Vision-Language Inference
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
OpenFace – a state-of-the art tool intended for facial landmark detection, head pose estimation, facial action unit recognition, and eye-gaze estimation.
The author's officially unofficial PyTorch BigGAN implementation.
Learn how to design, develop, deploy and iterate on production-grade ML applications.
Two time-scale update rule for training GANs
Amortized version of the differentially private SGD algorithm published in "Deep Learning with Differential Privacy" by Abadi et al. Enforces privacy by clipping and sanitising the gradients with G…
Machine Learning and Artificial Intelligence for Medicine.
A collection of pre-trained StyleGAN 2 models to download
PyTorch Library for Active Learning to accompany Human-in-the-Loop Machine Learning book
A simple method to perform semi-supervised learning with limited data.
A PyTorch-based library for semi-supervised learning (NeurIPS'21)
A framework for Privacy Preserving Machine Learning
Perform data science on data that remains in someone else's server
A curated list of multi party computation resources and links.
This repository contains all the papers accepted in top conference of computer vision, with convenience to search related papers.
[CVPR 2020] G3AN: Disentangling Appearance and Motion for Video Generation
MoCoGAN: Decomposing Motion and Content for Video Generation
A handbook for ML built on answers.
Generating Tabular Synthetic Data using State of the Art GAN architecture
Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning.
Official code for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)
Pretrained models for TensorFlow.js
An awesome list of papers on privacy attacks against machine learning
CPU/GPU/TPU implementation of the Fréchet Inception Distance