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Research scholar, Artificial Intelligence, Deep Learning, Cognitive Science.
Facial-Landmark-Detection. Facial Landmark Detection Framework
37ComputerVision-LLMs-Research. Experimenting and exploring Computer Vision with Deep Learning
10Face-Parts-Detection. Detect Facial parts using dlib and python
8gtsrb-smai. The German Traffic Sign Benchmark is a multi-class, single-image classification challenge. Humans are capable of recognizing the large variety of existing road signs with close to 100% correctness.Then what about machines, Can we make them intelligent like humans ?
6DeepEEG. EEG Visualization + Deep Learning
5problem-solution-dataset. A crowdsourced dataset of high-quality problem-solution code pairs.
4facerec. Jupyter Notebook
2photo-edit-app. Lightweight, scriptable photo editor with auto-exposure + cinematic LUTs
1SMAI. Statistical Methods in Artificial Intelligence
1InvVisRep. C++
1Tetris-Block-finding. Here you will find some of interesting computer vision applications
1PicChronicle. PicChronicle organizes your photos by year, month, and location. It extracts EXIF data and uses reverse geocoding to auto-categorize images, making browsing and archiving memories effortless.
1DIGIT-RECOGNIZER. Kaggle: Digit identifier
1sklearn_pycon2015. Materials for my Pycon 2015 scikit-learn tutorial.
1tutorials. A series of machine learning tutorials for Torch7
1kaggle-distracted-drivers-inceptionv3. Starter script for Kaggle's distracted driver comp. Tensor Flow + transfer learning + inception v3 pre-trainned model
1Traffic-Sign-Classification.keras. Deep leaning for traffic sign classification in keras and python
1awesome-python-books. :books: Directory of Python books
1ChatterBot. ChatterBot is a machine learning, conversational dialog engine for creating chat bots.
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