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Statistical-Learning
feature-selection-for-machine-learning
Deep-Learning
Implemented the deep learning techniques using Google Tensorflow that cover deep neural networks with a fully connected network using SGD and ReLUs; Regularization with a multi-layer neural network using ReLUs, L2-regularization, and dropout, to prevent overfitting; Convolutional Neural Networks (CNNs) with learning rate decay and dropout; and Recurrent Neural Networks (RNNs) for text and sequences with Long Short-Term Memory (LSTM) networks.HeteroArchGen4M2S
HeteroArchGen4M2S: An automatic software for configuring and running heterogeneous CPU-GPU architectures on Multi2Sim simulator. This tool is built on top of M2S simulator, it allows us to configure various heterogeneous CPU-GPU architectures (e.g., number of CPU cores, GPU cores, L1$, L2$, memory (size and latency (via CACTI 6.5)), network topologies (currently support 2D-Mesh, customized 2D-Mesh, and Torus networks)...). The output files include the results of network throughput and latency, caches/memory access time, and dynamic power of the cores (can be collected after running McPAT).RLE-NOC
SDC-term1-Behavioral-Cloning
Built and trained a convolutional neural network to drive the car itself autonomously in a simulator using Tensorflow (backend) and Keras. Experimented with a modified Nvidia architecture. Performed image processing with brightness, shadow augmentation, and flipped images. Used dropout and Adam optimizer to generalize the network for driving multiple tracks. The datasets are used via Udacity's source for training the model. Trained the model on Amazon AWS EC2 platform with GPU instances.recommender_systems_fkane
SDC-term1-Finding-Lane-Lines-on-Road
Computer Vision. Detected highway lane lines on a video stream. Used OpenCV image analysis techniques to identify lines, including Hough Transforms and Canny edge detection.Machine-Learning
Machine learning techniques, such as Linear Regression, Logistic Regression, Neural Networks (feedforward propagation, backpropagation algorithms), Diagnosing Bias/Variance, Evaluating a Hypothesis, Learning Curves, Error Analysis, Support Vector Machines, K-Means Clustering, PCA, Anomaly Detection System, and Recommender System.Wireless-network-802-11-DCF-MAC
Implemented a 802.11 DCF MAC Protocol operation with Gillbert-Elliot channel model, RTS/CTS exchange, in different network topologies. Used C++ for implementation.gem5-test
SDC-term2-Model-Predictive-Control
Implemented Model Predictive Control to drive the vehicle around the track (even with additional latency between commands).leetcode-contests
laceupleetcoding
homepage
data-science-from-scratch-1
ttungl.github.io
kaggle
Public codes for data science competitions on Kaggle.spark_scala_fkane
ds_salary_prediction
gem5
machine-learning-algorithms-implementation
Price-Dropping-Looker-v1.0
A tool for looking into the price dropped of the Amazon's items. Your "wishlist" items on Amazon will be alerted via your email if those prices are dropped below your expected price, ratings and reviews also are taken into account.Verilog-VHDL-ALU-16bit
ALU 16-bit design with LCD display VHDL coding on Spartan 3E FPGA Starter kit.Pingoin
Pingo'in [android app] is created by using a Google maps API. You can build your list of points of interest (POI) on the Googlemap, then the application will scan your map in the preset radius, if your POIs are within this radius, they will be displayed on your screen. Used Java, Eclipse for building the app, and used SVN for merging the code project.SDC-term1-Traffic-Sign-Classifier
Built and trained a deep neural network to classify traffic signs, using TensorFlow. Experimented with different network architectures. Performed image pre-processing and validation to guard against overfitting. The datasets are collected from the German Traffic Sign for training and random traffic signs downloaded from internet for testing.Java-Multithreading
Implemented the basis of java multithreading, including the basic threads synchronization, multiple locks using Synchronized Code Blocks, thread pools, countdown latches, Producer-Consumer, Wait and Notify, Low-level Synchronization, Re-entrant Locks, Deadlock, Semaphores, Callable and Future, Interrupting Threads, and Multithreading in Swing with SwingWorker.Love Open Source and this site? Check out how you can help us