Jumabek

Jumabek Alikhan's starred repositories

google_vision_workspace

Integrates Google Vision features, including image labeling, face, logo, and landmark detection, optical character recognition (OCR), and detection of explicit content, into applications.

Language:DartMIT1800

ByteTrack-yolov7-implementation

Minimal implementation of YOLOv7 based ByteTrack MOT

Language:Jupyter NotebookMIT200

News-Aggregator

Django project to scrape a news website using Beautiful soup and display in our template.

Language:Python11700

mmaction2

OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark

Language:PythonApache-2.0405400

Human-Action-Recognition

Computer Vision Project : Action Recognition on UCF101 Dataset

Language:Jupyter Notebook3600

Human_Activity_Recognition

A new and computationally cheap method to perform human activity recognition using PoseNet and LSTM. Where we use PoseNet for Preprocessing and LSTM for understand the sequence.

Language:Jupyter NotebookMIT3200

har-joint-model

AROMA: A Deep Multi-Task Learning Based Simple and Complex Human Activity Recognition Method Using Wearable Sensors

Language:Python2700

Optical-Flow-Guided-Feature

Code for paper: Optical Flow Guided Feature: A Fast and Robust Motion Representation for Video Action Recognition

Language:PythonMIT2700

human-action-recognition

Multi Person Skeleton Based Action Recognition and Tracking

Language:PythonMIT12400

Human-Activity-Recognition

Recognizing human activities using Deep Learning

Language:Jupyter NotebookMIT4700

3d-cnn-action-recognition

Implementation of Action Recognition using 3D Convnet on UCF-101 dataset.

Language:Python7400

ActionAI

Real-Time Spatio-Temporally Localized Activity Detection by Tracking Body Keypoints

Language:PythonGPL-3.074000

Robyn is an experimental, AI/ML-powered and open sourced Marketing Mix Modeling (MMM) package from Meta Marketing Science. Our mission is to democratise modeling knowledge, inspire the industry through innovation, reduce human bias in the modeling process & build a strong open source marketing science community.

Language:Jupyter NotebookMIT108400

YoloV4TinyBarracuda

YOLOv4-tiny on Unity Barracuda

Language:C#MIT10700

prince-computer-vision

work-through of Computer Vision: Models, Learning, and Inference by Simon J.D. Prince

Language:Jupyter Notebook3500

glmnet_python

Language:Jupyter NotebookGPL-3.019900

denoiser

Real Time Speech Enhancement in the Waveform Domain (Interspeech 2020)We provide a PyTorch implementation of the paper Real Time Speech Enhancement in the Waveform Domain. In which, we present a causal speech enhancement model working on the raw waveform that runs in real-time on a laptop CPU. The proposed model is based on an encoder-decoder architecture with skip-connections. It is optimized on both time and frequency domains, using multiple loss functions. Empirical evidence shows that it is capable of removing various kinds of background noise including stationary and non-stationary noises, as well as room reverb. Additionally, we suggest a set of data augmentation techniques applied directly on the raw waveform which further improve model performance and its generalization abilities.

Language:PythonNOASSERTION161100