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

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

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

北邮《Python编程与实践》课程资料

Python toolkit for quantitative finance

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

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

A pedagogical implementation of Autograd

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

This is a Torch implementation of ["Deep Residual Learning for Image Recognition",Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun](http://arxiv.org/abs/1512.03385) the winners of the 2015 ILSVRC and COCO challenges.

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

BERT score for text generation

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

PyTorch and Tensorflow functional model definitions

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

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.

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

Environment for reinforcement-learning algorithmic trading models

Portfolio of data science projects completed by me for academic, self learning, and hobby purposes.

Recipes for using Python's pandas library

Domain-Adversarial Neural Network in Tensorflow

a tensorflow implementation of WGAN

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

The Ada Developers Academy Jump Start program, which is intended for anyone who is interested in beginning their journey into coding.

Simple but useful Python web scraping tutorial code.

猫狗大战

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)

CatBoost tutorials repository

Training Very Deep Neural Networks Without Skip-Connections

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

Korean BERT pre-trained cased (KoBERT)

Two time-scale update rule for training GANs

Bayesian Deep Learning Benchmarks

Detectorch - detectron for PyTorch

Preparing for machine learning interviews

Python supercharged for the fastai library

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)

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

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"

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

Mellotron: a multispeaker voice synthesis model based on Tacotron 2 GST that can make a voice emote and sing without emotive or singing training data

this repository accompanies the book "Grokking Deep Learning"

Repository of teaching materials, code, and data for my data analysis and machine learning projects.

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

Quantified Self Personal Data Aggregator and Data Analysis

https://habr.com/ru/post/276725/

跟大咖一起读源码

Numerical Tours of Signal Processing

PyTorch/TorchScript compiler for NVIDIA GPUs using TensorRT

Some work of Andrew Ng's course on Coursera

提供对YOLOv3及Tiny的多种剪枝版本，以适应不同的需求。

Python Deep Dive Course - Accompanying Materials

The codes I made while I practiced various TensorFlow examples

Data Analysis Baseline Library

数据科学的笔记以及资料搜集