KoDohwan's Stars
mlvlab/MELTR
MELTR: Meta Loss Transformer for Learning to Fine-tune Video Foundation Models (CVPR 2023)
KoDohwan/multiprocessing_pytorch_script
OpenGVLab/InternVideo
[ECCV2024] Video Foundation Models & Data for Multimodal Understanding
neuralmagic/sparsezoo
Neural network model repository for highly sparse and sparse-quantized models with matching sparsification recipes
neuralmagic/deepsparse
Sparsity-aware deep learning inference runtime for CPUs
neuralmagic/sparseml
Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models
imhgchoi/MAML-RL
Re-implementation of MAML RL in several environment settings
mlvlab/Rony2_task3
mlvlab/drone_ai_challenge
2021 Drone AI challenge
mlvlab/Drone_Task1
arogozhnikov/einops
Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)
minkyujeon/MAML_Pytorch
MAML implementation with pytorch
JialianW/TraDeS
Track to Detect and Segment: An Online Multi-Object Tracker (CVPR 2021)
dneirfi/soccervideo_highlight
kylemin/S3D
Release of the pretrained S3D Network in PyTorch (ECCV 2018)
KoDohwan/Auto-Augmentation-on-Text-Domain
KisuYang/EmotionX-KU
BERT-Max based Contextual Emotion Classifier