6311 Open source projects that are alternatives of or similar to Deep_learning_examples

UNCURL is a tool for single cell RNA-seq data analysis.

A Deep Learning Toolkit for DTI, Drug Property, PPI, DDI, Protein Function Prediction (Bioinformatics)

Protein Graph Library

Solutions to assignments of Coursera Specializations - Deep learning, Machine learning, Algorithms & Data Structures, Image Processing and Python For Everybody

Therapeutics Data Commons: Machine Learning Datasets and Tasks for Therapeutics

GCP Essentials for Bioinformatics Researchers

Deep learning infrastructure for bioinformatics

code for reading and processing Allen Institute for Brain Science data

Documenting my python implementation of Andrew Ng's Machine Learning course

🧑‍🏫 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, ... 🧠

STAT 451: Intro to Machine Learning @ UW-Madison (Fall 2020)

Code To Accompany YouTube Series Imaginary Numbers Are Real

Surrogate Modeling Toolbox

Explains nlp building blocks in a simple manner.

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

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/.

Remote protein homology detection suite.

Python version of Quantiacs toolbox and sample trading strategies

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

This repository contains my python (3) script examples that focus on use cases for Network Engineers.

declarative and reproducible Jupyter environments - powered by Nix

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

Code and examples for JHU Computational Genomics class

Detect text in natural images with SSD, Single Shot Detection

Transfer learning for music classification and regression tasks

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

Beautiful charting of pandas.DataFrame with Highcharts

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

python automatic data quality check toolkit

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

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

Code for our paper "Hamiltonian Neural Networks"

pyschedule - resource scheduling in python

TensorFlow Tutorials

Structured Inference Networks for Nonlinear State Space Models

Python 入门爬虫和数据分析实战

Beaker Extensions for Jupyter Notebook

Code and Examples for Relevant Search

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

A knowledge graph and a set of tools for drug repurposing

Movie plots by genre tutorial at PyData Berlin 2016

MAttNet: Modular Attention Network for Referring Expression Comprehension

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

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

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

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

Food detection and recommendation with deep learning

Contains files related to content and project of DSND

Code repository for Learning PySpark by Packt

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

Approximating Wasserstein distances with PyTorch

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

Generating multiple choice questions from text using Machine Learning.

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

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.

A benchmark dataset for data-driven weather forecasting

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

朱小五写文章涉及到的数据分析，爬虫，源数据