https://github.com/muzairkhattak/multimodal-prompt-learning
Learning Transferable Visual Models From Natural Language Supervision
Papers with Code 아카이브
Benchmarking
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/n1kkqt/line-art-colorization
User-Guided Deep Anime Line Art Colorization with Conditional Adversarial Networks
https://github.com/naamiinepal/xrayto3d-benchmark
Benchmarking Encoder-Decoder Architectures for Biplanar X-ray to 3D Shape Reconstruction
https://github.com/nahidalam/open_clip
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/nandomp/AICollaboratory
The Arcade Learning Environment: An Evaluation Platform for General Agents
https://github.com/nasir6/detection
https://github.com/naver-ai/rethinking-proxy-reward
Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks
https://github.com/nayanr/instance_segmentation
https://github.com/ncbi-nlp/ML_Net
ML-Net: multi-label classification of biomedical texts with deep neural networks
https://github.com/ncbi/BioRED
https://github.com/nemonameless/mmkp
https://github.com/neurai-lab/dsp
Benchmarking Neural Network Robustness to Common Corruptions and Surface Variations
https://github.com/neurosim/DNN_NeuroSim_V2.1
https://github.com/new-okaerinasai/mmdetection
https://github.com/nf-core/methylseq
https://github.com/ngonhi/mmdetection
https://github.com/nicola-bastianello/optopy
https://github.com/nihui/realsr-ncnn-vulkan
NTIRE 2020 Challenge on Real-World Image Super-Resolution: Methods and Results
https://github.com/nikhilrayaprolu/food-version2
https://github.com/nikivanstein/LLaMEA
https://github.com/ningdez/Tianchi_Cancer_303
https://github.com/nithinksath96/MMdetection_TensorRT_FP16
https://github.com/nithinksath96/mmdetection
https://github.com/nitin35/masktrackrcnn
https://github.com/noahj08/DeepConnotation
Building a Large Scale Dataset for Image Emotion Recognition: The Fine Print and The Benchmark
https://github.com/nopperl/clip_arxiv_pmc
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/ntucllab/climage_dataset
Learning with Noisy Labels Revisited: A Study Using Real-World Human Annotations
https://github.com/ntucllab/complementary_cifar
Learning with Noisy Labels Revisited: A Study Using Real-World Human Annotations
https://github.com/nutonomy/nuscenes-devkit
Panoptic nuScenes: A Large-Scale Benchmark for LiDAR Panoptic Segmentation and Tracking
https://github.com/nvlabs/diff-rt
Sionna: An Open-Source Library for Next-Generation Physical Layer Research
https://github.com/oaqa/FlexNeuART
https://github.com/oaqa/knn4qa
https://github.com/omron-sinicx/planning-datasets
OpenTraj: Assessing Prediction Complexity in Human Trajectories Datasets
https://github.com/open-compass/vlmevalkit
https://github.com/open-dataflow/rare
Benchmarking Retrieval-Augmented Generation in Multi-Modal Contexts
https://github.com/openai/cleverhans
Technical Report on the CleverHans v2.1.0 Adversarial Examples Library
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.