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Stock-Price-Prediction
Stock price prediction using LSTM and 1D Convoltional Layer implemented in keras with TF backend on daily closing price of S&P 500 data from Jan 2000 to Aug 2016Face-Recognition-Algorithms
Implemented and evaluated four basic face recognition algorithms: Eigenfaces, Fisherfaces, Support Vector Machine (SVM), and Sparse Representation-based Classification (SRC) on YaleB datasetModel-Compression
Reduce the model complexity by 612 times, and memory footprint by 19.5 times compared to base model, while achieving worst case accuracy threshold.Sequence-Models
Course 5 from deeplearning.aiscene-clustering
Clustering scenesComputationalPhotography
Implemented Texture Synthesis and Image Inpainting algorithmsTemperature-Prediction
Temperature prediction from imagesPlayer-Tracking
Tracks the wide receiver from a single shot video clip, where the offensive team is to leftUnified-Face-Landmark-and-Gender-Recognition
Face Detection, landmark detection and gender classification in a unified workflowCamera-Caliberation
Calibrate the camera of a robot vehicle for 3d and 2d camera caliberation.Eclectic-Nets
Collection of most popular Deep Learning architechtures trained with tensorflow, kerasEthnicity-Classifier
This classifier uses the sub-strings of size 3 to learn probability associated with each substring such that it belongs to a particular ethnic group using the census 2000 data. When a new string is presented, it is broken down into sub-strings of size 3, and prediction is done on each of the sub-string using the model computed before. The output accuracy of the predictor is 85%. The model can be improved by balancing the sub-strings and the across the ethnic groups. The model follows the Naive Bayes assumption of conditional independencek-Nearest-Neighbors
Nearest Neighbor classification for CIFAR-10Convolutional-Neural-Networks
Course 4 on deeplearning.aiopenai-api-short
Short course on Generative AI from DeepLearning AICoordinate-Gradient-Descent
Lasso is implemented on CIFAR-10 dataset via Co-ordinate Gradient descent algorithm.Classifiers
Project for CS-520(Intro to AI) at Rutgers UniversityPractical_Aspect_of_Deep_Learning
Course 2 on deeplearning.aiHow-Does-Word2Vec-Work
How does Word2Vec work ?RAG
RAG, and Adavanced RAG methodsLearning-To-Represent-Text
Learning to represent text using Word2VecKernelPerceptron
Classification on the Web Spam Dataset using Percepton and Kernel Perceptron with Polynomial, Gaussian, Exponential and Laplacian Kernels.Love Open Source and this site? Check out how you can help us