TrongDucLe's repositories
YOLOv4_with_OpenImagesV4_GoogleColab
YOLOv4 (v3/v2) - Windows and Linux version of Darknet Neural Networks for object detection (Tensor Cores are used)
Awesome-Competitive-Programming
Some awesome competitive programming problems with solutions
fsdl-text-recognizer-project
The source repository is at https://github.com/full-stack-deep-learning/fsdl-text-recognizer
Text2Face-GANs
Using conditional deep convolution GANs to generate face from text description.
TensorFlow_2_Object_Detection_API_with_Colab
TensorFlow 2 tutorial for object detection API with Google Colab
udacity-data-streaming
An event streaming pipeline built using Kafka, KSQL, Faust, and Spark Structured Streaming
big_data_study_notes
Studying notes on coursera's Big Data Essentials: HDFS, MapReduce and Spark RDD
Udacity-Data-Engineering-Nanodegree
Udacity's 5 Month Data Engineering Nanodegree program. This repo includes all the projects completed.
demo-a-start-alogrithm-heuristic
Implement demo of A-star algorithm by javacript, html,..
food101-classification
Multiclass Classification using Keras and TensorFlow on Food-101 Dataset
active-learning-course
Coursework of Intro Deep Learning class
vietnamese-spell-correct-and-text-classify
A spell corrector and text classifier using Deep Neural Network
Udacity-Data-Engineering-Nanodegree-2024
Udacity Data Engineering Nanodegree Projects
datalabframework
Productivity Utilities for Data Science with Python Notebooks
UCSD_Data_Science_and_Engineering
In the Data Science and Engineering program, engineering professionals combine the skills of software programmer, database manager, and statistician to create mathematical models of the data, identify trends/deviations, then present them in effective visual ways that can be understood by others. Data scientists unlock new sources of economic value, provide fresh insights into science, and inform decision makers by analyzing large, diverse, complex, longitudinal, and distributed data sets generated from instruments, sensors, internet transactions, email, video, and other digital sources. Students entering the MAS program for a degree in Data Science and Engineering will undertake courses in programming, analysis, and applications management and visualization. This program requires three foundational courses, four core courses, and two electives totaling thirty-four units, plus a capstone team project course of four units, for a total of thirty-eight units.
LearnAnalytics-sqldwintro-instructorled
This is the focus course for Azure SQL Datawarehouse