6266 Open source projects that are alternatives of or similar to Learningdl

Client side rendering of Jupyter notebooks

Tutorials on visualizing data using python packages like bokeh, plotly, seaborn and igraph

Python version of Quantiacs toolbox and sample trading strategies

Beaker Extensions for Jupyter Notebook

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

for code created as part of http://studywolf.wordpress.com

An implementation of the ideas from this paper https://arxiv.org/pdf/1803.10122.pdf

Python 入门爬虫和数据分析实战

Applying Data Science and Machine Learning to Solve Real World Business Problems

Code and examples for JHU Computational Genomics class

declarative and reproducible Jupyter environments - powered by Nix

Movie plots by genre tutorial at PyData Berlin 2016

Detect text in natural images with SSD, Single Shot Detection

Reinforcement learning with A* and a deep heuristic

Convert existing soccer event stream data to SPADL and value player actions

Reinforcement Learning and Decision Making tutorials explained at an intuitive level and with Jupyter Notebooks

Transfer learning for music classification and regression tasks

PyHessian is a Pytorch library for second-order based analysis and training of Neural Networks

This is the code for "Predicting the Winning Team with Machine Learning" by Siraj Raval on Youtube

Food detection and recommendation with deep learning

It is open source ebook about TensorFlow kernel and implementation mechanism.

[DEPRECATED] An IPython notebook-compatible Javascript/HTML viewer for matplotlib animations

Github repo to upload demo files of youtube videos and linkedin

List of tech resources future me and other Javascript/Ruby/Python/Elixir/Elm developers might find useful

Contains files related to content and project of DSND

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

my blog

Generating multiple choice questions from text using Machine Learning.

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.

Statistics and Accepted paper list with arXiv link of EMNLP-IJCNLP 2019

Beautiful charting of pandas.DataFrame with Highcharts

A benchmark dataset for data-driven weather forecasting

Surrogate Modeling Toolbox

《统计学原理实验教程（Python）》书中代码实现。尽可能加注释，力求代码的可复用性。

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

Tutorial for using Kitti dataset easily

A (very incomplete) project that combines machine learning with music.

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

Kaggle Struggle

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

The remake of the https://github.com/biubug6/Pytorch_Retinaface

Quantitative finance research tools in Python

Analysis scripts of things related to satellites

Deep Learning 101 with PaddlePaddle （『飞桨』深度学习框架入门教程）

🧑‍🏫 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, ... 🧠

18.335 - Introduction to Numerical Methods course

Your new Telegram buddy powered by transformers

TensorFlow Tutorials

👩🏻‍⚕️Covid-19 estimation and forecast using statistical model; 新型冠状病毒肺炎统计模型预测 (Jan 2020)

ENet - A Neural Net Architecture for real time Semantic Segmentation

Open Content for self-directed learning in data science

This something about deep learning on Coursera by Andrew Ng

Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.

An interactive book on deep learning. Much easy, so MXNet. Wow. [Straight Dope is growing up] ---> Much of this content has been incorporated into the new Dive into Deep Learning Book available at https://d2l.ai/.

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

Data and code behind the articles and graphics at FiveThirtyEight

Code and Examples for Relevant Search

A collection of various deep learning architectures, models, and tips

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.