Pinned Repositories
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.
feature-selection-for-machine-learning
feature_engine
Feature engineering package with sklearn like functionality
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).
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.
RLE-NOC
SDC-term1-Advanced-Lane-Finding
Detected highway lane boundaries on a video stream with OpenCV image analysis techniques, including camera calibration matrix, distortion correction, color transforms, gradients, etc., to create a thresholded binary image, a perspective transform to rectify binary image ("birds-eye view"). Detected lane pixels and fit to find the lane boundary, determined the curvature of the lane and vehicle position with respect to center. Warped the detected lane boundaries back onto the original image.
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.
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.
Statistical-Learning
ttungl's Repositories
ttungl/ampl-early-version
ampl-cplex
ttungl/awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
ttungl/booksim2
BookSim 2.0
ttungl/cracking-code
Practice some interesting problems. It depends on the sort of problems, different languages will be picked up for coding. I prefer coding mostly in Java, Python, C/C++, and Matlab.
ttungl/Data-Scientist-MOOC
Coursera class in data science using R
ttungl/DRAMSim2
Update: we've moved our code to a new place! This fork is to maintain page references. New repo:
ttungl/face-search
Face search engine
ttungl/google-ortools-optimization
ttungl/gpgpu-sim_distribution
GPGPU-Sim provides a detailed simulation model of a contemporary GPU (such as NVIDIA's Fermi and GT200 architectures) running CUDA and/or OpenCL workloads and now includes an integrated (and validated) energy model, GPUWattch.
ttungl/HORNET_SIMULATOR_MIT
ttungl/kaggler-template
Template for data science competitions. Includes makefiles and Python scripts for feature engineering, cross validation, ensemble, etc.
ttungl/lambda-chat
A chat application without servers - using only AWS Lambda, S3, DynamoDB and SNS
ttungl/Learning-Scala
Accumulate doc/samples during learning Scala to help self and other people.
ttungl/leetcode-1
(229 / 280) [中文|English] Solutions and notes of LEETCODE using C++/Java/Python/Sql/Shell Script.
ttungl/McPAT-v1.3
ttungl/multi2sim
Multi2Sim source code
ttungl/NOCulator
Clean Code Pulled from CMU Safari
ttungl/papers-we-love
Papers from the computer science community to read and discuss.
ttungl/parade-ara-simulator
PARADE: A Cycle-Accurate Full-System Simulation Platform for Accelerator-Rich Architectural Design and Exploration
ttungl/phoenix
an API and runtime environment for data processing with MapReduce for shared-memory multi-core & multiprocessor systems.
ttungl/PowerGraph
PowerGraph: A framework for large-scale machine learning and graph computation.
ttungl/simple-android-instant-messaging-application
Automatically exported from code.google.com/p/simple-android-instant-messaging-application
ttungl/sorting-algorithms
counting sort
ttungl/uah_cpe512
uah cpe512 examples
ttungl/voice-devs-lessons
A Cloud Guru Advanced Alexa Skills Kit Course
ttungl/vtr-verilog-to-routing
Verilog to Routing -- Open Source CAD Flow for FPGA Research
ttungl/yosys
Yosys Open SYnthesis Suite