📺 Instill Console for 🔮 Instill Core: https://github.com/instill-ai/instill-core
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Updated
Jun 8, 2024 - TypeScript
📺 Instill Console for 🔮 Instill Core: https://github.com/instill-ai/instill-core
An AI-powered lighting control system that utilizes Arduino, Computer Vision, and color detection technology to automate the powering process.
Decoupled Kullback-Leibler Divergence Loss (DKL)
Containerized REST API for image & video classification, utilizing Hugging Face transformers.
NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNet-V3/V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
Image Content Filtering Using CNN and Transfer Learning
My 2024 Thesis. Developing an occlusion-aware engagement detection system.
The open-source tool for building high-quality datasets and computer vision models
Client interface for all things Cleanlab Studio
Label Studio is a multi-type data labeling and annotation tool with standardized output format
LabelImg is now part of the Label Studio community. The popular image annotation tool created by Tzutalin is no longer actively being developed, but you can check out Label Studio, the open source data labeling tool for images, text, hypertext, audio, video and time-series data.
YAYA - Yet annother YOLO annoter for images (in QT5). Support yolo format, image modifications, labeling and detecting with previously trained detector.
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.
A visualization tool to facilitate the comparison of user-implemented bias mitigation methods for AI models
Code repo for the paper "GENNAPE: Towards Generalized Neural Architecture Performance Estimators", accepted to AAAI-23.
A summative coursework for CSC8635 Machine Learning with Project
Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models
AiTLAS implements state-of-the-art AI methods for exploratory and predictive analysis of satellite images.
Comparison of ML algorithms on classification of radiographies (Pneumonia / No Pneumonia)
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