6481 Open source projects that are alternatives of or similar to Deeplearning2020

💻 command-line bootcamp adventure in your browser

An LSTM Autoencoder for rare event classification

Detecting emotions using MFCC features of human speech using Deep Learning

Repository for reading Pascal VOC data in Python, rather than requiring MATLAB to read the XML files.

AIND Term 2 -- VUI Capstone Project

Collection of coursework I've done from Colt Steele's Udemy Web Development course

Modular multitask reinforcement learning with policy sketches

A community run, 5-day PyTorch Deep Learning Bootcamp

Exploring applications of deep learning to the world of wine

Videos of deep learning optimizers moving on 3D problem-landscapes

Tutorial for End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF

机器学习与深度学习算法示例

Book sample (AI Machine-learning Deep-learning)

Python Cellular Sheaf Library

机器学习实战

This repository shows a sample example to build, manage and orchestrate Machine Learning workflows using Amazon Sagemaker and Apache Airflow.

A complete set of Recommender Systems techniques used in the Spotify Recsys Challenge 2018 developed by a team of MSc students in Politecnico di Milano.

自然语言处理NLP在中文文本上的一些应用，如文本分类、情感分析、命名实体识别等

Breast Cancer Classification using CNN and transfer learning

This repo will contain the resources available in my blog for learning

A lightweight book theme built off of the pydata sphinx theme

公众号“无痛入门音乐科技”开源代码

A collection of code examples as well as presentations for training purposes

Udacity Data Engineering Nano Degree (DEND)

Original implementation of the paper "SMILES Transformer: Pre-trained Molecular Fingerprint for Low Data Drug Discovery" by Shion Honda et al.

100+ python programming exercise problem discussed ,explained and solved in different ways

Discovering Interpretable GAN Controls [NeurIPS 2020]

Stanford Project: Artificial Intelligence is changing virtually every aspect of our lives. Today’s algorithms accomplish tasks that until recently only expert humans could perform. As it relates to finance, this is an exciting time to adopt a disruptive technology that will transform how everyone invests for generations. Models that explain the returns of individual stocks generally use company and stock characteristics, e.g., the market prices of financial instruments and companies’ accounting data. These characteristics can also be used to predict expected stock returns out-of-sample. Most studies use simple linear models to form these predictions [1] or [2]. An increasing body of academic literature documents that more sophisticated tools from the Machine Learning (ML) and Deep Learning (DL) repertoire, which allow for nonlinear predictor interactions, can improve the stock return forecasts [3], [4] or [5]. The main goal of this project is to investigate whether modern DL techniques can be utilized to more efficiently predict the movements of the stock market. Specifically, we train a LSTM neural network with time series price-volume data and compare its out-of-sample return predictability with the performance of a simple logistic regression (our baseline model).

Koç University deep learning framework.

“Hands-On Machine Learning with Scikit-Learn and TensorFlow” Excerpt From: Aurélien Géron. “Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems.” iBooks.

Duolingo of Technology

Beyond Accuracy: Behavioral Testing of NLP models with CheckList

[repo not maintained] Check out https://diffgram.com if you want to build a visual intelligence

Implemented the YOLO algorithm for scene text detection in keras-tensorflow (No object detection API used) The code can be tweaked to train for a different object detection task using YOLO.

FCOS: Fully Convolutional One-Stage Object Detection.

Vision Framework IOS WWDC 2017

Models and Pipelines for the Spark NLP library

Convolutional Gaussian processes based on GPflow.

Gemfield homework or libgemfield.so

Code and instructions for making an animated map of Earth

Multi-purpose tool for sound design and music production implemented in TensorFlow.

Local Light Field Synthesis (Pratul P. Srinivasan, Tongzhou Wang, Ashwin Sreelal, Ravi Ramamoorthi, Ren Ng ICCV 2017)

Taking a pretrained GloVe model, and using it as a TensorFlow embedding weight layer **inside the GPU**. Therefore, you only need to send the index of the words through the GPU data transfer bus, reducing data transfer overhead.

GitHub Action for repo2docker

Материалы курса по компьютерной лингвистике Школы Лингвистики НИУ ВШЭ

🚀 The ultimate collection of various Software Design Patterns implemented in Swift [Swift 5.0, 28 Patterns].

Natural Language Processing

📝 Подборка ресурсов по машинному обучению

Caffe implementation of Mobilenet-SSD face detector (NCS compatible)

DEPRECATED: please see individual lesson repositories for current material.

Exploring Procedural Generation algorithms in Godot

VGG-19 deep learning model trained using ISCX 2012 IDS Dataset