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Indian-Accent-Speech-Recognition
Traditional ASR (Signal & Cepstral Analysis, DTW, HMM) & DNNs (Custom Models + DeepSpeech) on Indian Accent SpeechSelf-Driving-Car-on-Indian-Roads
Computer Vision Guided Deep Learning Network & Machine Learning Techniques to build Fully-Functional Autonomous VehiclesADAS-Car-using-Raspberry-Pi
ADAS Car - with Collision Avoidance System (CAS) - on Indian Roads using LIDAR-Camera Low-Level Sensor Fusion. DIY Gadget built with Raspberry Pi, RP LIDAR A1, Pi Cam V2, LED SHIM, NCS 2 and accessories like speaker, power bank etcLSTM-Attention-based-Generative-Chat-bot
Personified Generative Chatbot using RNNs (LSTM) & Attention in TensorFlowAlgo-Trading-Math-Models
Math Techniques viz. ARIMA, Frequency Decomposition, Fourier Filtering, Linear Regression & Bi-directional LSTMs on Feature Engineered Stock Market Data.Topic-Modelling-LDA-NMF-W2V
Numerical combination of LDA and NMF cascaded with W2V to categorize 1M+ multi-lingual records into a 275-node, 5-level deep category tree.No-Touch-Display-Interface-at-Edge-IoT
Enabling HCI on the Edge: Gesture & Offline Sound Control of kiosks with AI models, hardware optimized with Intel OpenVINO, code optimized with VTuneFacial-Attendance-on-Pi-with-LIDAR
Face Recognition-based Attendance system deployable on Raspberry Pi with Movidius NCS2. RPLIDAR A1 is integrated for depth sensing to enable Door Access Control simulated with Pimoroni Blinkt!Multilingual-Text-Inversion-Detection-of-Scanned-Images
Efficient Text Localization Algorithm, Image Inversion Detection of Scanned Documents & Language Identification based on Shape Context and Traditional Computer Vision.Object-Detection-on-Mobile-Cam-for-Blind
Multi-Class Object Detection on Mobile Video Stream, using Deep Learning ConvNets, to assist the blind or to signal an incoming threat, without radars.Computer-Vision-Math-Magic-vs-AI
Computer Vision for Skew Correction, Text Inversion, Rotation Classification, Homography & Object Search with Applied MathCrime-Analysis-Prediction
Linear Model to predict the crime rate of North Carolina. Detailed EDA done prior to building modelML-Algorithms-in-MATLAB
MATLAB Code for Linear & Logistic Regression, SVM, K Means and PCA, Neural Networks Learning, Multiclass Classification, Anomaly Detection and Recommender systems.Indoor-Navigational-Assistance-with-RPi-and-Mobile
Indoor Navigational Assistance with Custom Object Detection and SLAM on Raspberry Pi and Android MobileScalable-ML-with-Spark
Scalable Machine Learning using Spark MLlib on Standalone, AWS EMR Cluster with Docker & Nvidia RAPIDS Accelerator mode.Automated-Reasoning-with-ML-Knowledge-Graph-and-Machine-Comprehension-with-AI
Machine Automated Reasoning using Grakn KGLib, Knowledge Graph Convolutional Networks (KGCNs) & Machine Comprehension using BERT-BIDAF-EnsembleGesture-Triggered-Alarm-on-Pi-or-Jetson-Nano
Gesture Triggered Alarm for Women Security based on Computer Vision, Mathematical Concavity Estimation, MQTT, OpenVINO and Pimoroni Blinkt! on RPi or Jetson NanoK-Means-Hierarchical-DBScan-Clustering-Analysis
Hyperparameter Tuning of K-Means using Elbow Method, Eps values based on MinPoints for DBScan and Hierarchical Clustering based on various values of 'k' is done to form different clusters, on which an analysis is done for semantic coherence.Multiple-MLP-Architectures-on-MNIST-database-using-Keras
To use different MLP architectures having different number of layers on the famous MNIST database. Tweaking methods like dropouts, batch normalization are applied and cross entropy loss is being tracked for analysis and comparison between architectures.CNN-Architectures-for-Handwritten-Image-Classification
To classify images containing handwritten digits using multiple custom-built CNN architectures, which may or may not are inspired from standard Convnet architectures such as LeNet, AlexNet, VGGNet, ResNet etc. A comparison between performance of different architectures are done.Clustering-on-Word-Vectors-using-Truncated-SVD
Semantic clustering of text using K-means on custom-built contextual Word Co-occurence matrix, decomposed using SVD. Truncated length of word vectors are estimated by plotting explained variance of decomposed matrix.Love Open Source and this site? Check out how you can help us