Shravankumar

Facial-Landmark-Detection. Facial Landmark Detection Framework

ComputerVision-LLMs-Research. Experimenting and exploring Computer Vision with Deep Learning

Face-Parts-Detection. Detect Facial parts using dlib and python

gtsrb-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 ?

DeepEEG. EEG Visualization + Deep Learning

problem-solution-dataset. A crowdsourced dataset of high-quality problem-solution code pairs.

facerec. Jupyter Notebook

photo-edit-app. Lightweight, scriptable photo editor with auto-exposure + cinematic LUTs

SMAI. Statistical Methods in Artificial Intelligence

InvVisRep. C++

Tetris-Block-finding. Here you will find some of interesting computer vision applications

PicChronicle. 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.

DIGIT-RECOGNIZER. Kaggle: Digit identifier

sklearn_pycon2015. Materials for my Pycon 2015 scikit-learn tutorial.

tutorials. A series of machine learning tutorials for Torch7

kaggle-distracted-drivers-inceptionv3. Starter script for Kaggle's distracted driver comp. Tensor Flow + transfer learning + inception v3 pre-trainned model

Traffic-Sign-Classification.keras. Deep leaning for traffic sign classification in keras and python

awesome-python-books. :books: Directory of Python books

ChatterBot. ChatterBot is a machine learning, conversational dialog engine for creating chat bots.