6614 Open source projects that are alternatives of or similar to Tensorflow Tutorial

An on-line movie recommender using Spark, Python Flask, and the MovieLens dataset

RETIRED - instead use https://github.com/robmarkcole/HASS-Deepstack-object

深度学习笔记

A deep neural network based self-driving car, that combines Lego Mindstorms NXT with the computational power of a Raspberry Pi 3.

Models and examples built with Swift for TensorFlow

A facial expression classification system that recognizes 6 basic emotions: happy, sad, surprise, fear, anger and neutral.

An autonomous AI racecar using NVIDIA Jetson Nano

Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening

step-by-step, implement a neural network with python and numpy to recognize handwritten number

This repository contains notebook implementations of the following Neural Process variants: Conditional Neural Processes (CNPs), Neural Processes (NPs), Attentive Neural Processes (ANPs).

Notebooks and code for the book "Introduction to Machine Learning with Python"

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

My blogs and code for machine learning. http://cnblogs.com/pinard

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

Geo-aware poisson blending

Python tools for data analysis

GSOC 2017 - Apache Organization - # Implementation of Factorization Machines on Spark using parallel stochastic gradient descent (python and scala)

Galvanize Capstone Project - Forecasting Wait Times at the US/Canada Border

strip output from Jupyter and IPython notebooks

Early stopping for PyTorch

This is a collection of all the code that can be found on my YouTube channel Sigma Coding.

Code for "PVNet: Pixel-wise Voting Network for 6DoF Pose Estimation" CVPR 2019 oral

A Chrome extension that adds a 3d photo effect to instagram pages.

Putting names to the players identified by BuzzFeed News in its tennis exposé.

Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.

A script that creates train, valid and test datasets for the ranking task from Ubuntu corpus dialogs.

Lectures for INFO8010 - Deep Learning, ULiège

Backtest 1000s of minute-by-minute trading algorithms for training AI with automated pricing data from: IEX, Tradier and FinViz. Datasets and trading performance automatically published to S3 for building AI training datasets for teaching DNNs how to trade. Runs on Kubernetes and docker-compose. >150 million trading history rows generated from +5000 algorithms. Heads up: Yahoo's Finance API was disabled on 2019-01-03 https://developer.yahoo.com/yql/

Python implementation of KNN and DTW classification algorithm

Classification Problem to detect credit card fraud

Υλικό για το μεταπτυχιακό μάθημα "Προγραμματισμός Σημασιολογικού Ιστού"

Hide screen when boss is approaching.

PyBites Code Challenges

Practice your pandas skills!

My implementations of cs231n 2017

fast.ai early development experiments

A hypothetical proof-of-concept book recommendation system for Project Gutenberg, using Natural Language Processing.

Swift for TensorFlow

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

Code, exercises and tutorials of my personal blog ! 📝

A small library for automatically adjustment of text position in matplotlib plots to minimize overlaps.

Deep Learning Cookbox

Efficient Image Captioning code in Torch, runs on GPU

misc

コメント生成ハッカソン用レポジトリ

The Hitchhiker's Guide to Data Science for Social Good

fast.ai Courses

Time series classification and clustering code written in Python.

Learn Julia via interactive tutorials!

Introduction to Deep Learning for Natural Language Processing

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

COVID-CT-Dataset: A CT Scan Dataset about COVID-19

Examples of matplotlib codes and plots

🌅The code of post "Image retrieval using MatconvNet and pre-trained imageNet"

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