cvat-ai/cvat
Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale.
Language: Open Policy Agent
#annotation #annotation_tool #annotations #bounding_box #computer_vision #computer_vision_annotation #dataset #deep_learning #image_annotation #image_classification #image_labeling #image_labeling_tool #imagenet #labeling #labeling_tool #semantic_segmentation #video_annotation #yolo
Stars: 99 Issues: 14 Forks: 4
https://github.com/cvat-ai/cvat
Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale.
Language: Open Policy Agent
#annotation #annotation_tool #annotations #bounding_box #computer_vision #computer_vision_annotation #dataset #deep_learning #image_annotation #image_classification #image_labeling #image_labeling_tool #imagenet #labeling #labeling_tool #semantic_segmentation #video_annotation #yolo
Stars: 99 Issues: 14 Forks: 4
https://github.com/cvat-ai/cvat
GitHub
GitHub - cvat-ai/cvat: Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams…
Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale. - cvat-ai/cvat
b7leung/MLE-Flashcards
200+ detailed flashcards useful for reviewing topics in machine learning, computer vision, and computer science.
#ai #artificial_intelligence #computer_science #computer_vision #flashcards #interview #interview_preparation #machine_learning #review
Stars: 121 Issues: 1 Forks: 9
https://github.com/b7leung/MLE-Flashcards
200+ detailed flashcards useful for reviewing topics in machine learning, computer vision, and computer science.
#ai #artificial_intelligence #computer_science #computer_vision #flashcards #interview #interview_preparation #machine_learning #review
Stars: 121 Issues: 1 Forks: 9
https://github.com/b7leung/MLE-Flashcards
GitHub
GitHub - b7leung/MLE-Flashcards: 200+ detailed flashcards useful for reviewing topics in machine learning, computer vision, and…
200+ detailed flashcards useful for reviewing topics in machine learning, computer vision, and computer science. - b7leung/MLE-Flashcards
clovaai/donut
Official Implementation of OCR-free Document Understanding Transformer (Donut) and Synthetic Document Generator (SynthDoG), ECCV 2022
Language: Python
#computer_vision #document_ai #eccv_2022 #multimodal_pre_trained_model #nlp #ocr
Stars: 98 Issues: 2 Forks: 5
https://github.com/clovaai/donut
Official Implementation of OCR-free Document Understanding Transformer (Donut) and Synthetic Document Generator (SynthDoG), ECCV 2022
Language: Python
#computer_vision #document_ai #eccv_2022 #multimodal_pre_trained_model #nlp #ocr
Stars: 98 Issues: 2 Forks: 5
https://github.com/clovaai/donut
GitHub
GitHub - clovaai/donut: Official Implementation of OCR-free Document Understanding Transformer (Donut) and Synthetic Document Generator…
Official Implementation of OCR-free Document Understanding Transformer (Donut) and Synthetic Document Generator (SynthDoG), ECCV 2022 - clovaai/donut
roboflow-ai/notebooks
Set of Jupyter Notebooks linked to Roboflow Blogpost and used in our YouTube videos.
Language: Jupyter Notebook
#computer_vision #deep_learning #deep_neural_networks #image_classification #image_segmentation #object_detection #pytorch #tutorial #yolov5 #yolov6 #yolov7
Stars: 126 Issues: 1 Forks: 14
https://github.com/roboflow-ai/notebooks
Set of Jupyter Notebooks linked to Roboflow Blogpost and used in our YouTube videos.
Language: Jupyter Notebook
#computer_vision #deep_learning #deep_neural_networks #image_classification #image_segmentation #object_detection #pytorch #tutorial #yolov5 #yolov6 #yolov7
Stars: 126 Issues: 1 Forks: 14
https://github.com/roboflow-ai/notebooks
GitHub
GitHub - roboflow/notebooks: Examples and tutorials on using SOTA computer vision models and techniques. Learn everything from…
Examples and tutorials on using SOTA computer vision models and techniques. Learn everything from old-school ResNet, through YOLO and object-detection transformers like DETR, to the latest models l...
o-oconnell/minixfromscratch
Development and compilation setup for the book version of MINIX (3.1.0) on QEMU
Language: C
#bash #compilers #computer_architecture #data_structures_and_algorithms #filesystem #kernel #networking #operating_systems #programming #system_administration #system_programming
Stars: 921 Issues: 3 Forks: 41
https://github.com/o-oconnell/minixfromscratch
Development and compilation setup for the book version of MINIX (3.1.0) on QEMU
Language: C
#bash #compilers #computer_architecture #data_structures_and_algorithms #filesystem #kernel #networking #operating_systems #programming #system_administration #system_programming
Stars: 921 Issues: 3 Forks: 41
https://github.com/o-oconnell/minixfromscratch
GitHub
GitHub - o-oconnell/minixfromscratch: Development and compilation setup for the book versions of MINIX (2.0.0 and 3.1.0) on QEMU
Development and compilation setup for the book versions of MINIX (2.0.0 and 3.1.0) on QEMU - o-oconnell/minixfromscratch
SkalskiP/courses
This repository is a curated collection of links to various courses and resources about Artificial Intelligence (AI)
Language: Python
#computer_vision #deep_learning #deep_neural_networks #machine_learning #mlops #multimodal #natural_language_processing #nlp #transformers #tutorial
Stars: 323 Issues: 0 Forks: 29
https://github.com/SkalskiP/courses
This repository is a curated collection of links to various courses and resources about Artificial Intelligence (AI)
Language: Python
#computer_vision #deep_learning #deep_neural_networks #machine_learning #mlops #multimodal #natural_language_processing #nlp #transformers #tutorial
Stars: 323 Issues: 0 Forks: 29
https://github.com/SkalskiP/courses
GitHub
GitHub - SkalskiP/courses: This repository is a curated collection of links to various courses and resources about Artificial Intelligence…
This repository is a curated collection of links to various courses and resources about Artificial Intelligence (AI) - SkalskiP/courses
kevmo314/magic-copy
Magic Copy is a Chrome extension that uses Meta's Segment Anything Model to extract a foreground object from an image and copy it to the clipboard.
Language: TypeScript
#chrome_extension #computer_vision #image_processing
Stars: 375 Issues: 2 Forks: 24
https://github.com/kevmo314/magic-copy
Magic Copy is a Chrome extension that uses Meta's Segment Anything Model to extract a foreground object from an image and copy it to the clipboard.
Language: TypeScript
#chrome_extension #computer_vision #image_processing
Stars: 375 Issues: 2 Forks: 24
https://github.com/kevmo314/magic-copy
GitHub
GitHub - kevmo314/magic-copy: Magic Copy is a Chrome extension that uses Meta's Segment Anything Model to extract a foreground…
Magic Copy is a Chrome extension that uses Meta's Segment Anything Model to extract a foreground object from an image and copy it to the clipboard. - kevmo314/magic-copy
Jumpat/SegmentAnythingin3D
Segment Anything in 3D with NeRFs
#3d #3d_segmentation #computer_vision #nerf #segment_anything #segmentation
Stars: 224 Issues: 2 Forks: 7
https://github.com/Jumpat/SegmentAnythingin3D
Segment Anything in 3D with NeRFs
#3d #3d_segmentation #computer_vision #nerf #segment_anything #segmentation
Stars: 224 Issues: 2 Forks: 7
https://github.com/Jumpat/SegmentAnythingin3D
GitHub
GitHub - Jumpat/SegmentAnythingin3D: Segment Anything in 3D with NeRFs (NeurIPS 2023)
Segment Anything in 3D with NeRFs (NeurIPS 2023). Contribute to Jumpat/SegmentAnythingin3D development by creating an account on GitHub.
X-PLUG/mPLUG-Owl
mPLUG-Owl🦉: Modularization Empowers Large Language Models with Multimodality
Language: Python
#alpaca #chatbot #chatgpt #computer_vision #damo #gpt #gpt4 #gpt4_api #huggingface #instruction_tuning #large_language_models #llama #mplug #mplug_owl #multimodal #pretraining #pytorch #transformer #visual_reasoning #visual_recognition
Stars: 209 Issues: 1 Forks: 9
https://github.com/X-PLUG/mPLUG-Owl
mPLUG-Owl🦉: Modularization Empowers Large Language Models with Multimodality
Language: Python
#alpaca #chatbot #chatgpt #computer_vision #damo #gpt #gpt4 #gpt4_api #huggingface #instruction_tuning #large_language_models #llama #mplug #mplug_owl #multimodal #pretraining #pytorch #transformer #visual_reasoning #visual_recognition
Stars: 209 Issues: 1 Forks: 9
https://github.com/X-PLUG/mPLUG-Owl
GitHub
GitHub - X-PLUG/mPLUG-Owl: mPLUG-Owl: The Powerful Multi-modal Large Language Model Family
mPLUG-Owl: The Powerful Multi-modal Large Language Model Family - X-PLUG/mPLUG-Owl
nv-tlabs/NKSR
[CVPR 2023 Highlight] Neural Kernel Surface Reconstruction
Language: Python
#3d_reconstruction #computer_vision #graphics #neural_kernel #point_cloud
Stars: 250 Issues: 7 Forks: 6
https://github.com/nv-tlabs/NKSR
[CVPR 2023 Highlight] Neural Kernel Surface Reconstruction
Language: Python
#3d_reconstruction #computer_vision #graphics #neural_kernel #point_cloud
Stars: 250 Issues: 7 Forks: 6
https://github.com/nv-tlabs/NKSR
GitHub
GitHub - nv-tlabs/NKSR: [CVPR 2023 Highlight] Neural Kernel Surface Reconstruction
[CVPR 2023 Highlight] Neural Kernel Surface Reconstruction - nv-tlabs/NKSR
graphdeco-inria/gaussian-splatting
Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"
Language: Python
#computer_graphics #computer_vision #radiance_field
Stars: 348 Issues: 4 Forks: 14
https://github.com/graphdeco-inria/gaussian-splatting
Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"
Language: Python
#computer_graphics #computer_vision #radiance_field
Stars: 348 Issues: 4 Forks: 14
https://github.com/graphdeco-inria/gaussian-splatting
GitHub
GitHub - graphdeco-inria/gaussian-splatting: Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance…
Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering" - graphdeco-inria/gaussian-splatting
cvg/glue-factory
Training library for local feature detection and matching
Language: Python
#computer_vision #deep_learning #iccv2023 #image_matching
Stars: 200 Issues: 1 Forks: 13
https://github.com/cvg/glue-factory
Training library for local feature detection and matching
Language: Python
#computer_vision #deep_learning #iccv2023 #image_matching
Stars: 200 Issues: 1 Forks: 13
https://github.com/cvg/glue-factory
GitHub
GitHub - cvg/glue-factory: Training library for local feature detection and matching
Training library for local feature detection and matching - cvg/glue-factory
hustvl/GaussianDreamer
GaussianDreamer: Fast Generation from Text to 3D Gaussian Splatting with Point Cloud Priors
Language: Python
#aigc #computer_vision #diffusion_models #dreamfusion #gaussian_splatting #nerf #radiance_field #text_to_3d
Stars: 134 Issues: 0 Forks: 1
https://github.com/hustvl/GaussianDreamer
GaussianDreamer: Fast Generation from Text to 3D Gaussian Splatting with Point Cloud Priors
Language: Python
#aigc #computer_vision #diffusion_models #dreamfusion #gaussian_splatting #nerf #radiance_field #text_to_3d
Stars: 134 Issues: 0 Forks: 1
https://github.com/hustvl/GaussianDreamer
GitHub
GitHub - hustvl/GaussianDreamer: GaussianDreamer: Fast Generation from Text to 3D Gaussians by Bridging 2D and 3D Diffusion Models…
GaussianDreamer: Fast Generation from Text to 3D Gaussians by Bridging 2D and 3D Diffusion Models (CVPR 2024) - hustvl/GaussianDreamer
hkchengrex/Cutie
[arXiv 2023] Putting the Object Back Into Video Object Segmentation
Language: Python
#computer_vision #deep_learning #pytorch #segmentation #video_editing #video_object_segmentation #video_segmentation
Stars: 123 Issues: 1 Forks: 12
https://github.com/hkchengrex/Cutie
[arXiv 2023] Putting the Object Back Into Video Object Segmentation
Language: Python
#computer_vision #deep_learning #pytorch #segmentation #video_editing #video_object_segmentation #video_segmentation
Stars: 123 Issues: 1 Forks: 12
https://github.com/hkchengrex/Cutie
GitHub
GitHub - hkchengrex/Cutie: [CVPR 2024 Highlight] Putting the Object Back Into Video Object Segmentation
[CVPR 2024 Highlight] Putting the Object Back Into Video Object Segmentation - hkchengrex/Cutie