6001 Open source projects that are alternatives of or similar to Deepreplay

我的强化学习笔记和学习材料📖 still updating ... ...

my blog

A collection of all my datasets

Python library for reading and writing well data using Log ASCII Standard (LAS) files

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

Tutorial for using Kitti dataset easily

declarative and reproducible Jupyter environments - powered by Nix

Bayesian neural network using Pyro and PyTorch on MNIST dataset

🧑‍🏫 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, ... 🧠

Github repo to upload demo files of youtube videos and linkedin

2018-JDDC大赛第4名的解决方案

Approximating Wasserstein distances with PyTorch

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

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

WACV18 paper "DeepLung: Deep 3D Dual Path Nets for Automated Pulmonary Nodule Detection and Classification"

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

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

Kaggle airbus ship detection challenge 21st solution

Surrogate Modeling Toolbox

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

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/.

KoBERT와 CRF로 만든 한국어 개체명인식기 (BERT+CRF based Named Entity Recognition model for Korean)

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

Examples of using deep learning in Bioinformatics

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

Pytorch implementations of various Deep NLP models in cs-224n(Stanford Univ)

A knowledge graph and a set of tools for drug repurposing

code for R-C3D

pyschedule - resource scheduling in python

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

Code repository for Learning PySpark by Packt

AraVec is a pre-trained distributed word representation (word embedding) open source project which aims to provide the Arabic NLP research community with free to use and powerful word embedding models.

python automatic data quality check toolkit

This something about deep learning on Coursera by Andrew Ng

Python 入门爬虫和数据分析实战

三个月教你从零入门深度学习Tensorflow版配套代码

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

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

个人的技能树仓库，主要包含个人机器学习以及深度学习的笔记

Beautiful charting of pandas.DataFrame with Highcharts

Client side rendering of Jupyter notebooks

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

ENet - A Neural Net Architecture for real time Semantic Segmentation

TensorFlow Tutorials

Reinforcement learning with A* and a deep heuristic

Code and Examples for Relevant Search

An IDA Pro Plugin for embedding an IPython Kernel

MAttNet: Modular Attention Network for Referring Expression Comprehension

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

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

Open Content for self-directed learning in data science

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

Data Science in Julia course for JuliaAcademy.com, taught by Huda Nassar

Crawl & visualize ICLR papers and reviews.

Deep Learning to Improve Breast Cancer Detection on Screening Mammography

We are building an open database of COVID-19 cases with chest X-ray or CT images.

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