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ctci-6th-edition-cpp

Cracking the Coding Interview 6th Ed. C++ Solutions

ctci-solutions

Python solutions to Cracking the Coding Interview (6th edition)

ctci_v6

:books: Cracking the Coding Interview 6th edition problems

cube

Independent Component Analysis based on the CUDA utility library (cube)

cuda

GPU-accelerated LIBSVM is a modification of the original LIBSVM that exploits the CUDA framework to significantly reduce processing time while producing identical results. The functionality and interface of LIBSVM remains the same. The modifications were done in the kernel computation, that is now performed using the GPU.

cuda-1

NVIDIA GPU Computing

cuda-convnet

Alex Krizhevsky's original code from Google Code

cuda-convnet2

Automatically exported from code.google.com/p/cuda-convnet2

cudakalmanfilter

Implemented the Kalman Filter Algorithms on GPU using CUDA programming language. Analysed the run-time performance gain obtained by parallel computation of the various stages of the algorithm.Speed up of 1000x is observed for large input sets.

cudamat

Python module for performing basic dense linear algebra computations on the GPU using CUDA.

cutter

A Qt and C++ GUI for radare2 reverse engineering framework

cvpr2015

cvx

A MATLAB system for disciplined convex programming

cvx-svm

SVM, kernel trick, CVX.

dali

A library containing both highly optimized building blocks and an execution engine for data pre-processing in deep learning applications

darknet_ros

YOLO ROS: Real-Time Object Detection for ROS

darpa-cgc-crs-details

This repository contains details of some of the CRS' used at CGC.

das

Doctor Appointment System

das-site

PHP 5.2 demo site to simulate Distributed Antenna System

data-engineering-on-gcp-cheatsheet

data-mining-python

Sheng's python codes for data manipulation and data mining

data-preprocessing

Data preprocessing is a data mining technique that involves transforming raw data into an understandable format.

data-race-test-

google's ThreadSanitizer

data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

data-science-your-way

Ways of doing Data Science Engineering and Machine Learning in R and Python

datacamp

DataCamp data-science courses

datacamp-1

🍧 A repository that contains courses I have taken on DataCamp

datacamp-community-tutorials

Tutorials for DataCamp (www.datacamp.com)

datacamp-courses

Some of my notebooks of Datacamp courses.

datacamp-python-data-science-track

All the slides, accompanying code and exercises all stored in this repo. 🎈