Pinned Repositories
a-PyTorch-Tutorial-to-Class-Incremental-Learning
a PyTorch Tutorial to Class-Incremental Learning | a Distributed Training Template of CIL with core code less than 100 lines.
AnimateLCM
[SIGGRAPH ASIA 2024 TCS] AnimateLCM: Computation-Efficient Personalized Style Video Generation without Personalized Video Data
Awesome-Consistency-Models
Awesome List of Consistency Models
Be-Your-Outpainter
[ECCV 2024] Be-Your-Outpainter https://arxiv.org/abs/2403.13745
ECCV22-FOSTER
The official implementation for ECCV22 paper: "FOSTER: Feature Boosting and Compression for Class-Incremental Learning" in PyTorch.
Gen-L-Video
The official implementation for "Gen-L-Video: Multi-Text to Long Video Generation via Temporal Co-Denoising".
Motion-I2V
[SIGGRAPH 2024] Motion I2V: Consistent and Controllable Image-to-Video Generation with Explicit Motion Modeling
Phased-Consistency-Model
[NeurIPS 2024] Boosting the performance of consistency models with PCM!
PyCIL
PyCIL: A Python Toolbox for Class-Incremental Learning
Rectified-Diffusion
Rectified Diffusion: Straightness Is Not Your Need
G-U-N's Repositories
G-U-N/PyCIL
PyCIL: A Python Toolbox for Class-Incremental Learning
G-U-N/AnimateLCM
[SIGGRAPH ASIA 2024 TCS] AnimateLCM: Computation-Efficient Personalized Style Video Generation without Personalized Video Data
G-U-N/Phased-Consistency-Model
[NeurIPS 2024] Boosting the performance of consistency models with PCM!
G-U-N/Gen-L-Video
The official implementation for "Gen-L-Video: Multi-Text to Long Video Generation via Temporal Co-Denoising".
G-U-N/Be-Your-Outpainter
[ECCV 2024] Be-Your-Outpainter https://arxiv.org/abs/2403.13745
G-U-N/Rectified-Diffusion
Rectified Diffusion: Straightness Is Not Your Need
G-U-N/Motion-I2V
[SIGGRAPH 2024] Motion I2V: Consistent and Controllable Image-to-Video Generation with Explicit Motion Modeling
G-U-N/a-PyTorch-Tutorial-to-Class-Incremental-Learning
a PyTorch Tutorial to Class-Incremental Learning | a Distributed Training Template of CIL with core code less than 100 lines.
G-U-N/ECCV22-FOSTER
The official implementation for ECCV22 paper: "FOSTER: Feature Boosting and Compression for Class-Incremental Learning" in PyTorch.
G-U-N/Awesome-Consistency-Models
Awesome List of Consistency Models
G-U-N/ICLR23-BEEF
The implementation for ICLR2023 paper: "BEEF: Bi-Compatible Class-Incremental Learning via Energy-Based Expansion and Fusion" in PyTorch.
G-U-N/Stable-Consistency-Tuning
Stable Consistency Tuning: Understanding and Improving Consistency models
G-U-N/Parallel-Computing-Project
Parallel algorithms (quick-sort, merge-sort , enumeration-sort) implemented by p-threads and CUDA
G-U-N/G-U-N
G-U-N/Restricted-Boltzmann-Machine-for-AutoEncoder
reproduce and expansion: Hinton, Geoffrey E., and Ruslan R. Salakhutdinov. "Reducing the dimensionality of data with neural networks." science 313.5786 (2006): 504-507.
G-U-N/Awesome-Incremental-Learning
Awesome Incremental Learning
G-U-N/BDI-tileworld
Reproduce: Kinny, D., and M. George. "Commitment and Effectiveness of Situated Agents." IJCAI-91. 1991.
G-U-N/G-U-N.github.io
academic homepage.
G-U-N/Hands-on-RL
Hands-on-RL
G-U-N/deep-learning-from-scratch-2
『ゼロから作る Deep Learning ❷』(O'Reilly Japan, 2018)
G-U-N/effectivepython
Effective Python: Second Edition — Source Code and Errata for the Book
G-U-N/jittor
Jittor is a high-performance deep learning framework based on JIT compiling and meta-operators.
G-U-N/LDAM-DRW
[NeurIPS 2019] Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss
G-U-N/pytorch-distributed
A quickstart and benchmark for pytorch distributed training.
G-U-N/pytorch-multi-GPU-training-tutorial
G-U-N/S-Prompts
To promote S-Prompts.
G-U-N/tianshou
An elegant PyTorch deep reinforcement learning platform.
G-U-N/vit-pytorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
G-U-N/yaoyao-liu.github.io
My homepage's source code
G-U-N/yolov5
YOLOv5 in PyTorch > ONNX > CoreML > TFLite