6127 Open source projects that are alternatives of or similar to Pyplotz

Plos in Computational Biology paper related with github for researchers, code, source and document

Multilingual word vectors in 78 languages

PyTorch implementation of BTS Depth Estimator

Python tutorials as Jupyter Notebooks for NLP, ML, AI

some ctr model, implemented by PyTorch, such as Factorization Machines, Field-aware Factorization Machines, DeepFM, xDeepFM, Deep Interest Network

Deep reinforcement learning. In scikit-learn. In less than 50 effective lines.

This is the research product of the thesis manifold Learning of Latent Space Vectors in GAN for Image Synthesis. This has an application to the research, name a facial recognition system. The application was developed by consulting the FaceNet model.

Attention, I'm Trying to Speak: End-to-end speech synthesis (CS224n '18)

Read and Write

Computer Vision Nanodegree program from Udacity

ChallengeHub开源的各大比赛baseline集合

What Twitter reveals about the differences between cities and the monoculture of the Bay Area

Korean English NMT(Neural Machine Translation) with Gluon

Mastering-Python-Data-Analysis

Code Repository for the online course Feature Selection for Machine Learning

implement the paper" Very Deep Convolutional Networks for Natural Language Processing"(https://arxiv.org/abs/1606.01781 ) in tensorflow

[ICML 2020] PyTorch Code for "Efficient Continuous Pareto Exploration in Multi-Task Learning"

INFO 490: Foundations of Data Science, offered in the Fall 2016 Semester at the University of Illinois

How to train an object detection model with mmdetection

Mask On-Off control with computer vision

A Portfolio of Python Projects

Algoritmos de aprendizado de máquina criados manualmente para maior compreensão das suas funcionalidades

USC urban data science course series with Python and Jupyter

Twitter sentiment analysis based on Apache Spark, MLlib, Scala and Akka.

Advanced Data Science, University of Illinois Spring 2017

Short Course - Applied Machine Learning for Security Informatics

This repo contains code related to german traffic sign detection and classification using Faster-RCNN

Data manipulation, analysis and visualisation in Python - specialist course Doctoral schools of Ghent University

this is my presentaion area .个人演讲稿展示区，主要展示一些平时的个人演讲稿或者心得之类的，

Multilayer Neural Network using numpy.

Code from my blog post & online course

live code

LSTM-CRF for NER with ConLL-2002 dataset

Mask R-CNN

Text classification models. Used a submodule for other projects.

MRI analysis using PyTorch and MedicalTorch

Progressive Domain Adaptation for Object Detection

Telegram notification with IPython magics.

Code and data for the paper "A Neural Architecture for Generating Natural Language Descriptions from Source Code Changes"

Code for our paper "Generalized Orderless Pooling Performs Implicit Salient Matching" published at ICCV 2017.

PyTorch DataSet and Jupyter demos for MusicNet

We used Machine learning techniques to evaluate past data pertaining to the stock market and world affairs of the corresponding time period, in order to make predictions in stock trends. We built a model that will be able to buy and sell stock based on profitable prediction, without any human interactions. The model uses Natural Language Processing (NLP) to make smart “decisions” based on current affairs, article, etc. With NLP and the basic rule of probability, our goal is to increases the accuracy of the stock predictions.

Blackbox attacks for deep neural network models

《深度卷积网络：原理与实践》现已在淘宝天猫京东当当发售. 这里是其中的代码下载.

The data and code that used in my book.

This a Deep learning AI system which recognize handwritten characters, Here I use chars74k data-set for training the model

Build a neural network to code a basic a HTML and CSS website based on a picture of a design mockup.

Phi_K correlation analyzer library

A Los Angeles Times analysis of arrests of the homeless by the LAPD

DSSG Workshops

Training Toolbox for Caffe

Automatic 2D-to-3D Video Conversion with CNNs

Some notebooks

A 2-unit decal run by [email protected]'s education team

A custom MARL (multi-agent reinforcement learning) environment where multiple agents trade against one another (self-play) in a zero-sum continuous double auction. Ray [RLlib] is used for training.

A workshop on data privacy methods for data scientists.

Machine Learning in Asset Management (by @firmai)

Advbox is a toolbox to generate adversarial examples that fool neural networks in PaddlePaddle、PyTorch、Caffe2、MxNet、Keras、TensorFlow and Advbox can benchmark the robustness of machine learning models. Advbox give a command line tool to generate adversarial examples with Zero-Coding.