Syed Rahman's repositories
modern-bayes
Modern Bayesian statistics, STA 360/602, Duke University, Department of Statistical Science
AnomalyDetection
Twitter's Anomaly Detection in Pure Python
BigDataEssentials
Coursera + Yandex: Big Data Essentials: HDFS, MapReduce and Spark RDD
call_center_data
Analysis of call center data
coursera_go
Coursera course for learning Go.
cracking-the-data-science-interview
A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep
DataScienceCourse
This holds iPython notebooks and lecture slides for the Intro to Data Science Master's course I teach at NYU.
deep-learning-and-rare-event-prediction
Deep Learning and Rare Event Prediction
deeplearning-models
A collection of various deep learning architectures, models, and tips
DLSP20-final-project
DPSP20 Final Project
go-leetcode
A collection of 100+ popular LeetCode problems solved in Go.
maskrcnn-benchmark
Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.
numpy-100
100 numpy exercises (with solutions)
parallel-tutorial
Parallel computing in Python tutorial materials
partitionDAG
Implements the partition DAG algorithm
pytorch-Deep-Learning
Deep Learning (with PyTorch)
pytorch-PPUU
Code for Prediction and Planning Under Uncertainty (PPUU)
pytorch-unet
Simple PyTorch implementations of U-Net/FullyConvNet (FCN) for image segmentation
system-design-primer
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.