5921 Open source projects that are alternatives of or similar to Tutorial

跟大咖一起读源码

CatBoost tutorials repository

this repository accompanies the book "Grokking Deep Learning"

Python supercharged for the fastai library

Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)

An adversarial example library for constructing attacks, building defenses, and benchmarking both

Implementation of some classic Machine Learning model from scratch and benchmarking against popular ML library

Two time-scale update rule for training GANs

Simple but useful Python web scraping tutorial code.

A curated list of practical business machine learning (BML) and business data science (BDS) applications for Accounting, Customer, Employee, Legal, Management and Operations (by @firmai)

Repository of notes, code and notebooks for the book Pattern Recognition and Machine Learning by Christopher Bishop

Source code accompanying O'Reilly book: Machine Learning Design Patterns

Introduction to Deep Learning for Natural Language Processing

Some work of Andrew Ng's course on Coursera

Preparing for machine learning interviews

猫狗大战

Deep Learning Cookbox

An introduction to data science using Python and Pandas with Jupyter notebooks

PyTorch/TorchScript compiler for NVIDIA GPUs using TensorRT

Detectorch - detectron for PyTorch

Single cell current best practices tutorial case study for the paper:Luecken and Theis, "Current best practices in single-cell RNA-seq analysis: a tutorial"

A simple, minimal wrapper for tensorflow's seq2seq module, for experimenting with datasets rapidly

Training Very Deep Neural Networks Without Skip-Connections

PyTorch and Tensorflow functional model definitions

This holds iPython notebooks and lecture slides for the Intro to Data Science Master's course I teach at NYU.

A framework for using LSTMs to detect anomalies in multivariate time series data. Includes spacecraft anomaly data and experiments from the Mars Science Laboratory and SMAP missions.

Time series classification and clustering code written in Python.

Environment for reinforcement-learning algorithmic trading models

The codes I made while I practiced various TensorFlow examples

Code, exercises and tutorials of my personal blog ! 📝

a tensorflow implementation of WGAN

A TensorFlow implementation of DeepMind's Differential Neural Computers (DNC)

数据科学的笔记以及资料搜集

My solution to the book <A collection of Data Science Take-home Challenges>

My corrections for the Standford class assingments CS231n - Convolutional Neural Networks for Visual Recognition

A pedagogical implementation of Autograd

北邮《Python编程与实践》课程资料

fast.ai early development experiments

BERT score for text generation

Recipes for using Python's pandas library

This is a repository of a topic-centric public data sources in high quality for Recommender Systems (RS)

提供对YOLOv3及Tiny的多种剪枝版本，以适应不同的需求。

Data Analysis Baseline Library

Hands-On Machine Learning for Algorithmic Trading, published by Packt

Efficient Image Captioning code in Torch, runs on GPU

Open-source python package for the extraction of Radiomics features from 2D and 3D images and binary masks. Support: https://discourse.slicer.org/c/community/radiomics

Proposes neural networks that can generate animation of virtual characters for different actions.

ai challenger 2018细粒度情感分类第一名解决方案, A training framework itegrating tensorflow and pytorch

Python Deep Dive Course - Accompanying Materials

coursera吴恩达机器学习课程作业自写Python版本+Matlab原版

My implementations of cs231n 2017

A CLI tool to convert CSV / Excel / HTML / JSON / Jupyter Notebook / LDJSON / LTSV / Markdown / SQLite / SSV / TSV / Google-Sheets to a SQLite database file.

fast.ai Courses

Korean BERT pre-trained cased (KoBERT)

Bayesian Deep Learning Benchmarks