5921 Open source projects that are alternatives of or similar to Tensorflow2.0

Explore and download data from Census APIs

A use-case focused tutorial for time series forecasting with python

Tutorial on how to create your own object detection dataset and train using TensorFlow's API

An Introduction to Statistical Learning with Applications in PYTHON

Harry Potter and the Allocation of Dirichlet

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Машинное обучение на ФКН ВШЭ

Satellite data processing experiments

Documentation and library for decoding omnipod communications.

Machine Learning for Music and Sound Synthesis workshop

Source code for 'Practical Machine Learning with Python' by Dipanjan Sarkar, Raghav Bali, and Tushar Sharma

Tensorflow 2.0 Quick Start Guide, published by Packt

Full train/inference/submission pipeline adapted to the competition from https://github.com/matterport/Mask_RCNN

Set of scripts and data for reproducing dog breed classification model training, analysis, and inference.

1st place solution for the AntaiCup-International-E-commerce-Artificial-Intelligence-Challenge

AWS Certified Machine Learning - Specialty (MLS-C01)

CS224D Assignments

主要展示Datawhale的组队学习计划。

[obsolete] Static Widgets for IPython Notebooks

Activities and exercises for the Part IA computing course in Michaelmas Term

Material del curso de Deep Learning de la Universidad de Chile

Discuss requirments and develop code for #1-mvp-vbacc MVP (see also this channel on ossdc.org Slack)

Research by Carlos Góes

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Research Methods for Data Science with Python

Detection of Accounting Anomalies using Deep Autoencoder Neural Networks - A lab we prepared for NVIDIA's GPU Technology Conference 2018 that will walk you through the detection of accounting anomalies using deep autoencoder neural networks. The majority of the lab content is based on Jupyter Notebook, Python and PyTorch.

Bias detection in the news. Back and front end for areyoufakenews.com

Repo of simple adversarial examples on vanilla neural networks trained on MNIST

A End to End CNN Model which predicts the steering wheel angle based on the video/image

Face model to classify gender and race. Trained on LFWA+ Dataset.

IPython Notebook for training a word-level Convolutional Neural Network model for sentiment classification task on Yelp-Challenge-2016 review dataset.

PyData London 2019 Tutorial on Markov chain Monte Carlo with PyMC3

UNet is a fully convolutional network(FCN) that does image segmentation. Its goal is to predict each pixel's class. It is built upon the FCN and modified in a way that it yields better segmentation in medical imaging.

Machine learning with Python tutorial at MSU Data Science 2018

《动手学深度学习》 PyTorch 版本

Tacotron 2 - PyTorch implementation with faster-than-realtime inference modified to enable cross lingual voice cloning.

bert-loves-chemistry: a repository of HuggingFace models applied on chemical SMILES data for drug design, chemical modelling, etc.

Hadoop, Spark and Storm based anomaly detection implementations for data quality, cyber security, fraud detection etc.

🙄 Difficult algorithm, Simple code.

Materials for my scikit-learn tutorial

Introductory Python Series for UC Berkeley's D-Lab

Introduction to Machine Learning, a series of IPython Notebook and accompanying slideshow and video

Implementation of Excitation Backprop in Caffe

Deep Markov Models

The repository contains code walkthroughs which introduces Deep Learning in the field of Natural Language Processing.

Yet another black-box optimization library for Python

深度学习面试汇总，基本知识点的查漏补缺

Anomaly detection algorithm implementation in Python

Reinforcement Learning research

Code for CS570, Essentials of Data Science

Reproducible Data Analysis Workflow in Jupyter

STREAM: Single-cell Trajectories Reconstruction, Exploration And Mapping of single-cell data

Official Implementation for "Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation"