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hidden_markov_model

several kinds of inference problems of discrete Hidden Markov Models are explored - filtering, smoothing, and most likely explanation.

how-to-generate-music-demo

This is the code for "How to Generate Music - Intro to Deep Learning #9' by Siraj Raval on YouTube

ipyparallel

Interactive Parallel Computing in Python

kittiseg

A Kitti Road Segmentation model implemented in tensorflow.

mil.pytorch

PyTorch implementation of Multiple-instance learning

openai-neat

NEAT Solver for OpenAI

opencv-haar-classifier-training

Learn how to train your own OpenCV Haar classifier

p4_smartcab

Udacity MLND Project 4 - Smart Cab

planning

This project solves deterministic logistics planning problems for an Air Cargo transportation. We first construct a compact data structure called planning graph, then compare the performance of Forward state-space search algorithms with different heuristics.

pyprobml

Python code for "Machine learning: a probabilistic perspective"

python-data-structures-and-algorithms

Python Data Structures and Algorithms, by Packt

pytorch-fastcampus

PyTorch로 시작하는 딥러닝 입문 CAMP (2017.7~2017.12) 강의자료

radio

RadIO is a library for data science research of computed tomography imaging

records-research

refers

sudoku

Solve every sudoku via constraint propagation and search

survival-analysis-using-deep-learning

This repository contains morden baysian statistics and deep learning based research articles , software for survival analysis

tensorbox

Object detection in TensorFlow

tensorflow

Computation using data flow graphs for scalable machine learning

tensorvision

A simple toolkit to easily apply image classification networks to your data.

thinkdsp

Think DSP: Digital Signal Processing in Python, by Allen B. Downey.

trafficsigns

built and trained a fully supervised deep convolutional neural network that learns the classifier for RGB 32x32 pixel images from German traffic signs dataset.

tucker

TuckER: Tensor Factorization for Knowledge Graph Completion

video-classification-3d-cnn-pytorch

Video classification tools using 3D ResNet

vimpy

Perform inference on algorithm-agnostic variable importance in Python

vision

Datasets, Transforms and Models specific to Computer Vision

worksamples