ylsung Goto Github PK
Name: YI-LIN SUNG
Type: User
Company: UNC Chapel Hill
Bio: Multimodal Learning, Parameter-efficient learning, Continual Learning
Location: NC
Name: YI-LIN SUNG
Type: User
Company: UNC Chapel Hill
Bio: Multimodal Learning, Parameter-efficient learning, Continual Learning
Location: NC
(CVPR'20 Oral) Unsupervised Learning of Probably Symmetric Deformable 3D Objects from Images in the Wild
BackPACK - a backpropagation package built on top of PyTorch which efficiently computes quantities other than the gradient.
PyTorch implementation of various methods for continual learning (XdG, EWC, online EWC, SI, LwF, GR, GR+distill, RtF, ER, A-GEM, iCaRL).
Implementation / replication of DALL-E, OpenAI's Text to Image Transformer, in Pytorch
🤗 The largest hub of ready-to-use NLP datasets for ML models with fast, easy-to-use and efficient data manipulation tools
Code for "ECoFLaP: Efficient Coarse-to-Fine Layer-Wise Pruning for Vision-Language Models" (ICLR 2024)
Code for Federated Learning with Matched Averaging, ICLR 2020.
Unofficial PyTorch implementation of "FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence"
This is the PyTorch-0.4.0 implementation of few-shot learning on CIFAR-100 with graph neural networks (GNN)
A PyTorch implementation for exploring deep and shallow knowledge distillation (KD) experiments with flexibility
PyTorch codes for "LST: Ladder Side-Tuning for Parameter and Memory Efficient Transfer Learning"
:clipboard: Collection of evaluation code for natural language generation.
Implementation of semi-supervised learning using PyTorch Lightning
Elastic weight consolidation technique for incremental learning.
Tensors and Dynamic neural networks in Python with strong GPU acceleration
PyTorch-1.0 implementation for the adversarial training on MNIST/CIFAR-10 and visualization on robustness classifier.
95.47% on CIFAR10 with PyTorch
The lightweight PyTorch wrapper for ML researchers. Scale your models. Write less boilerplate
Code for "Image Generation from Scene Graphs", Johnson et al, CVPR 2018
Reproduced the popular Facebook game -- Tetris Battle! Also provided openAI environments.
Training RL agent to master Facebook TetrisBattle--PyTorch implementation
PyTorch codes for the paper "An Empirical Study of Multimodal Model Merging"
PyTorch code for "VL-Adapter: Parameter-Efficient Transfer Learning for Vision-and-Language Tasks" (CVPR2022)
https://ylsung.github.io/
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Open source projects and samples from Microsoft.
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Data-Driven Documents codes.
China tencent open source team.