Pinned Repositories
awesome-multi-objective-optimization
A curated list of awesome multi-objective optimization research resources.
CanonicalPAE
[NeurIPS'21] Learning 3D Dense Correspondence via Canonical Point Autoencoder
CanonicalVAE
[ECCV'22] This repository is the implementation of "Autoregressive 3D Shape Generation via Canonical Mapping".
InstaNAS
⚡️ [AAAI'20][ICML'19 AutoML] InstaNAS: Instance-aware Neural Architecture Search
MnasNet-PyTorch
A PyTorch implementation of Mnasnet: MnasNet: Platform-Aware Neural Architecture Search for Mobile.
MobileNetV3-PyTorch
A PyTorch implementation of MobileNetV3
OctaveConv-Pytorch
An PyTorch implementation of Drop an Octave: Reducing Spatial Redundancy in Convolutional Neural Networks with Octave Convolution
SpatialRGPT
[NeurIPS'24] This repository is the implementation of "SpatialRGPT: Grounded Spatial Reasoning in Vision Language Models"
Tensorflow-Number-Plate-Recognition
An automatic number plate recognition system with pretrained weights.
TUVF
[ICLR'24] This repository is the implementation of "TUVF: Learning Generalizable Texture UV Radiance Fields"
AnjieCheng's Repositories
AnjieCheng/MnasNet-PyTorch
A PyTorch implementation of Mnasnet: MnasNet: Platform-Aware Neural Architecture Search for Mobile.
AnjieCheng/InstaNAS
⚡️ [AAAI'20][ICML'19 AutoML] InstaNAS: Instance-aware Neural Architecture Search
AnjieCheng/Tensorflow-Number-Plate-Recognition
An automatic number plate recognition system with pretrained weights.
AnjieCheng/SpatialRGPT
[NeurIPS'24] This repository is the implementation of "SpatialRGPT: Grounded Spatial Reasoning in Vision Language Models"
AnjieCheng/TUVF
[ICLR'24] This repository is the implementation of "TUVF: Learning Generalizable Texture UV Radiance Fields"
AnjieCheng/awesome-multi-objective-optimization
A curated list of awesome multi-objective optimization research resources.
AnjieCheng/MobileNetV3-PyTorch
A PyTorch implementation of MobileNetV3
AnjieCheng/CanonicalVAE
[ECCV'22] This repository is the implementation of "Autoregressive 3D Shape Generation via Canonical Mapping".
AnjieCheng/OctaveConv-Pytorch
An PyTorch implementation of Drop an Octave: Reducing Spatial Redundancy in Convolutional Neural Networks with Octave Convolution
AnjieCheng/CanonicalPAE
[NeurIPS'21] Learning 3D Dense Correspondence via Canonical Point Autoencoder
AnjieCheng/Fast-ImageNet-Dataloader
A fast data loader for ImageNet on PyTorch.
AnjieCheng/vimrc
AnjieCheng/Wikipedia-Workload-Prediction
An implementation of "Workload Prediction Using ARIMA Model and Its Impact on Cloud Applications’ QoS" using R language.
AnjieCheng/awesome-architecture-search
A curated list of awesome architecture search resources
AnjieCheng/Depth-Anything
[CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation
AnjieCheng/LLaVA
[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.