6127 Open source projects that are alternatives of or similar to Storytelling With Data

Implementation of original style transfer paper (Gatys et al)

TRAINING DEEP NEURAL-NETWORKS USING A NOISE ADAPTATION LAYER

Brazilian-Portuguese word list and instructions booklet for Diceware

Time Series Forecast with Bitcoin value, to detect upward/down trends with Machine Learning Algorithms

A place to collect resources shared bythe community of Intel® Edge AI Foundation course

Tensorflow implementation of Multi-View 3D Object Detection Network (in progress)

A toolkit for controlling Euro Truck Simulator 2 with python to develop self-driving algorithms.

Wrapper of DELF Tensorflow Model

Todas os arquivos dos vídeos do Canal Sandeco

100天机器学习 （翻译+ 实操）

An example on how to train supervised classifiers for multi-label text classification using sklearn pipelines

Machine Learning Sound Classifier

R kernel for Jupyter

A re-implementation of mtcnn. Joint training, tutorial and deployment together.

All codes from the DataWhatNow blog.

Code for paper in CVPR2019, 'Attentive Feedback Network for Boundary-aware Salient Object Detection'

A repository for the paper "Real-Time Traffic Sign Recognition Based on Efficient CNNs in the Wild"

Enriching BERT with Knowledge Graph Embedding for Document Classification (PyTorch)

Visual Attribute Transfer through Deep Image Analogy in PyTorch!

[ACL 2020] PyTorch code for MART: Memory-Augmented Recurrent Transformer for Coherent Video Paragraph Captioning

A Primer on Gaussian Processes for Regression Analysis (PyData NYC 2019)

Implementing a Neural Network from Scratch

A repository of machine learning codes written for re-usability

kmeans using PyTorch

detect curved lane lines using HSV filtering and sliding window search.

Lecture Notes for Linear Algebra Featuring Python

The Numenta Anomaly Benchmark

Code for "Learning data-driven discretizations for partial differential equations"

A Scala kernel for Jupyter

Objectron is a dataset of short, object-centric video clips. In addition, the videos also contain AR session metadata including camera poses, sparse point-clouds and planes. In each video, the camera moves around and above the object and captures it from different views. Each object is annotated with a 3D bounding box. The 3D bounding box describes the object’s position, orientation, and dimensions. The dataset contains about 15K annotated video clips and 4M annotated images in the following categories: bikes, books, bottles, cameras, cereal boxes, chairs, cups, laptops, and shoes

Simple BitMEX trading robot.

Introduction to Chemical Engineering Analysis

[5 FPS - 150 FPS] Learning Deep Features for One-Class Classification (AnomalyDetection). Corresponds RaspberryPi3. Convert to Tensorflow, ONNX, Caffe, PyTorch. Implementation by Python + OpenVINO/Tensorflow Lite.

Datasets, tools, and benchmarks for representation learning of code.

Unofficial implementation of StyleGAN2 using TensorFlow 2.x.

Notebooks for learning about object motion and localization methods in the last section of CVND.

深度学习论文阅读、数据仓库实践体验。比做算法的懂工程落地，比做工程的懂算法模型。

Source material for Data Science for Telecom Tutorial at Strata Singapore 2015

Tutorial teaching the basics of Keras and some deep learning concepts

Support code for the medium blog on transfer learning. Link to the blog in the Readme file.

Convolutional Neural Network based regression approach for estimating machinery's remaining useful life

A companion code for my Medium post

Spectral Normalization for Keras Dense and Convolution Layers

Fifty different implementations of Fizzbuzz in Python.

Pytorch Implementation of Interaction Networks for Learning about Objects, Relations and Physics

Keras implementation of GradCAM.

Stanford cs224n 2019 homework

NJU Master Course **Big Data Mining and Analysis**

A DroneBlocks course on drone programming with Tello using Python scripts

⬛ Python Individual Conditional Expectation Plot Toolbox

Genetic algorithm tutorial for Python

Deep Learning with Tensor Flow for EEG MNE Epoch Objects

书籍：深度学习框架pytorch入门与实践

An implementation of the Viterbi Algorithm for training Hidden Markov models. This repo accompanies the video found here: https://www.youtube.com/watch?v=kqSzLo9fenk

This is a repo for all the tutorials put out by H2O.ai. This includes learning paths for Driverless AI, H2O-3, Sparkling Water and more...

Source code about Python Development

legend