5921 Open source projects that are alternatives of or similar to Pandas Highcharts

Installations for Data Science. Anaconda, RStudio, Spark, TensorFlow, AWS (Amazon Web Services).

Tensorflow notes

Transfer learning for music classification and regression tasks

Example Machine Learning Scripts for Numerai's Tournament

MAttNet: Modular Attention Network for Referring Expression Comprehension

Implementation of a seq2seq model for summarization of textual data. Demonstrated on amazon reviews, github issues and news articles.

Food detection and recommendation with deep learning

Deep learning based speech source separation using Pytorch

My attempt at reproducing the paper Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection

The LRP Toolbox provides simple and accessible stand-alone implementations of LRP for artificial neural networks supporting Matlab and Python. The Toolbox realizes LRP functionality for the Caffe Deep Learning Framework as an extension of Caffe source code published in 10/2015.

Repository with sample code and instructions for "Continuous Intelligence" and "Continuous Delivery for Machine Learning: CD4ML" workshops

The code repository for projects and tutorials in R and Python that covers a variety of topics in data visualization, statistics sports analytics and general application of probability theory.

TensorFlow Tutorials

An example attention network with simple dataset.

Based on the Pytorch-Transformers library by HuggingFace. To be used as a starting point for employing Transformer models in text classification tasks. Contains code to easily train BERT, XLNet, RoBERTa, and XLM models for text classification.

📓 deepleaning and cv notes.

Ever wondered how to code your Neural Network using NumPy, with no frameworks involved?

Statistical Rethinking (2nd ed.) with NumPyro

Starter files for Pluralsight course: Understanding Machine Learning with Python

add statistical annotations (pvalue significance) on an existing boxplot generated by seaborn boxplot

LSTMS for Predictive Maintenance

Segment-CNN: A Framework for Temporal Action Localization in Untrimmed Videos via Multi-stage CNNs

Sohu's 2018 content recognition competition 1st solution(搜狐内容识别大赛第一名解决方案)

Code for our paper "Hamiltonian Neural Networks"

Wi-Fi Geolocation Spoofing with the ESP8266

[tutorial]A functional, Data Science focused introduction to Python

Convert human motion from video to .bvh

source{d} datasets ("big code") for source code analysis and machine learning on source code

Official Repo for Google Cloud AI Platform

Analysis scripts of things related to satellites

Official PyTorch Implementation for "Rotate to Attend: Convolutional Triplet Attention Module." [WACV 2021]

VQVAEs, GumbelSoftmaxes and friends

Your new Telegram buddy powered by transformers

Self hosted alternative to Google Photos

Implementation of Statistical Learning Method, Second Edition.《统计学习方法》第二版，算法实现。

Seed, Expand, Constrain: Three Principles for Weakly-Supervised Image Segmentation

Develop production ready deep learning code, deploy it and scale it

Natural Language Processing with TensorFlow, published by Packt

Python version of Quantiacs toolbox and sample trading strategies

主要存储Datawhale组队学习中“推荐系统”方向的资料。

Data and code behind the articles and graphics at FiveThirtyEight

Experimental algorithms. Unsupported.

Code and Examples for Relevant Search

Implementing of the "A Neural Algorithm of Artistic Style"

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

Deep Learning / NLP tutorial for Chatbot Developers

Deep fusion project of deeply-fused nets, and the study on the connection to ensembling

虾神的Python示例代码库

NeMo: a toolkit for conversational AI

fastai V2 implementation of Timeseries classification papers.

Python is an interpreted, high-level, general-purpose programming language. Created by Guido van Rossum and first released in 1991, Python's design philosophy emphasizes code readability with its notable use of significant white space. (This repository contains Python 3 Code)

General Assembly's Data Science course in Washington, DC

Surrogate Modeling Toolbox

🧑‍🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

A collection of resources for pandas (Python) and related subjects.

Simple Encoder, Generator and Face Modificator with StyleGAN2

Movie plots by genre tutorial at PyData Berlin 2016

Compared performance of KNN, SVM, BPNN, CNN, Transfer Learning (retrain on Inception v3) on image classification problem. CNN is implemented with TensorFlow