sangnekim's Stars
facebookresearch/segment-anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
microsoft/LoRA
Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"
artidoro/qlora
QLoRA: Efficient Finetuning of Quantized LLMs
facebookresearch/ConvNeXt
Code release for ConvNeXt model
kzl/decision-transformer
Official codebase for Decision Transformer: Reinforcement Learning via Sequence Modeling.
hila-chefer/Transformer-Explainability
[CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize classifications by Transformer based networks.
LuChengTHU/dpm-solver
Official code for "DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps" (Neurips 2022 Oral)
alxndrTL/mamba.py
A simple and efficient Mamba implementation in pure PyTorch and MLX.
52CV/CVPR-2023-Papers
DingXiaoH/RepLKNet-pytorch
Scaling Up Your Kernels to 31x31: Revisiting Large Kernel Design in CNNs (CVPR 2022)
guochengqian/PointNeXt
[NeurIPS'22] PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies
JierunChen/FasterNet
[CVPR 2023] Code for PConv and FasterNet
hancyran/RepSurf
[CVPR 2022 Oral] Official implementation for "Surface Representation for Point Clouds"
ShoufaChen/AdaptFormer
[NeurIPS 2022] Implementation of "AdaptFormer: Adapting Vision Transformers for Scalable Visual Recognition"
VITA-Group/SLaK
[ICLR 2023] "More ConvNets in the 2020s: Scaling up Kernels Beyond 51x51 using Sparsity"; [ICML 2023] "Are Large Kernels Better Teachers than Transformers for ConvNets?"
benhenryL/Deblurring-3D-Gaussian-Splatting
luogen1996/RepAdapter
Official implementation of "Towards Efficient Visual Adaption via Structural Re-parameterization".
dongzelian/SSF
[NeurIPS'22] This is an official implementation for "Scaling & Shifting Your Features: A New Baseline for Efficient Model Tuning".
rjbruin/flexconv
Code repository for the ICLR 2022 paper "FlexConv: Continuous Kernel Convolutions With Differentiable Kernel Sizes" https://openreview.net/forum?id=3jooF27-0Wy
eric-ai-lab/PEViT
Official implementation of AAAI 2023 paper "Parameter-efficient Model Adaptation for Vision Transformers"
daniel03c1/masked_wavelet_nerf
stnamjef/SPINN
Source code for Separable PINN
sangnekim/SMPConv
[CVPR2023] "SMPConv: Self-moving Point Representations for Continuous Convolution"
minjung-s/BallGAN
[ICCV23] BallGAN: 3D-aware Image Synthesis with a Spherical Background
jwcho5576/streamable_nf
Source code of "Streamable Neural Fields"
montrealrobotics/iv_rl
IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation
benhenryL/SharpNeRF
extremebird/Hydra
stnamjef/MipGrid
ilovemyminutes/CLIK
Jihyeong Ko et al., Contrastive Learning for Topic-Dependent Image Ranking, 2022