987 Open source projects that are alternatives of or similar to Skater

Data-centric declarative deep learning framework

Bitcoin price Prediction ( Time Series ) using LSTM Recurrent neural network

Video to Text: Generates description in natural language for given video (Video Captioning)

Detecting Sarcasm on Twitter using both traditonal machine learning and deep learning techniques.

[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-guided therapy

PyTorch tutorial for learners

Example of Multiple Multivariate Time Series Prediction with LSTM Recurrent Neural Networks in Python with Keras.

This is a Statistical Learning application which will consist of various Machine Learning algorithms and their implementation in R done by me and their in depth interpretation.Documents and reports related to the below mentioned techniques can be found on my Rpubs profile.

Arm Machine Learning tutorials and examples

pytorch-kaldi is a project for developing state-of-the-art DNN/RNN hybrid speech recognition systems. The DNN part is managed by pytorch, while feature extraction, label computation, and decoding are performed with the kaldi toolkit.

List of papers, code and experiments using deep learning for time series forecasting

An Engine-Agnostic Deep Learning Framework in Java

Source code of CHAMELEON - A Deep Learning Meta-Architecture for News Recommender Systems

🚀 Build and manage real-life data science projects with ease!

Deep Learning Toolkit for Medical Image Analysis

Tensorflow in Docker on Mesos #tfmesos #tensorflow #mesos

Toolkit to Hack Your Deep Learning Models

ANNdotNET - deep learning tool on .NET Platform.

Data compression in TensorFlow

Open standard for machine learning interoperability

DeepHyper: Scalable Asynchronous Neural Architecture and Hyperparameter Search for Deep Neural Networks

OneFlow is a performance-centered and open-source deep learning framework.

This is Andrew NG Coursera Handwritten Notes.

OpenChem: Deep Learning toolkit for Computational Chemistry and Drug Design Research

OpenRec is an open-source and modular library for neural network-inspired recommendation algorithms

Understanding emotions from audio files using neural networks and multiple datasets.

Fabric for Deep Learning (FfDL, pronounced fiddle) is a Deep Learning Platform offering TensorFlow, Caffe, PyTorch etc. as a Service on Kubernetes

Caffe2 is a lightweight, modular, and scalable deep learning framework.

An Open Source Machine Learning Framework for Everyone

A flexible, high-performance serving system for machine learning models

MNN is a blazing fast, lightweight deep learning framework, battle-tested by business-critical use cases in Alibaba

An implementation of zoneout regularizer on LSTM-RNN by Tensorflow

JavaScript implementation of simple multilayer perceptron (MLP)

Ipython Notebooks for solving problems like classification, segmentation, generation using latest Deep learning algorithms on different publicly available text and image data-sets.

DeepFake Detection: Detect the video is fake or not using InceptionResNetV2.

THEANO-KALDI-RNNs is a project implementing various Recurrent Neural Networks (RNNs) for RNN-HMM speech recognition. The Theano Code is coupled with the Kaldi decoder.

Service Classification based on Service Description

3-day dive into deep learning at csc

The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on dealing with medical images.

Deep Learning Toolbox for Torch

A collection of computer vision projects for Acute Lymphoblastic Leukemia classification/early detection.

An app to analyze the text and fixing the anomaly of the message that deviates from what is standard, normal, or expected. #AndroidDevChallenge

Try out deep learning models online on Google Colab

Say the magic word 😸

CleverCSV is a Python package for handling messy CSV files. It provides a drop-in replacement for the builtin CSV module with improved dialect detection, and comes with a handy command line application for working with CSV files.

Pyncov-19: Learn and predict the spread of COVID-19

DITRAS (DIary-based TRAjectory Simulator), a mathematical model to simulate human mobility

PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf

https://arxiv.org/abs/1707.00836

Image Classification on CIFAR-10 Dataset using Multi Layer Perceptrons in Python from Scratch.

R Interface to Open Neural Network Exchange (ONNX)

Tribuo - A Java machine learning library

京东JData算法大赛-高潜用户购买意向预测

Rust library for Self Organising Maps (SOM).

For recognising hand gestures using RNN and LSTM... Implementation in TensorFlow

Performance-optimized wheels for TensorFlow (SSE, AVX, FMA, XLA, MPI)

Repository of publicly available talks by Leon Eyrich Jessen, PhD. Talks cover Data Science and R in the context of research

Implementing different RNN models (LSTM,GRU) & Convolution models (Conv1D, Conv2D) on a subset of Amazon Reviews data with TensorFlow on Python 3. A sentiment analysis project.

Lets Learn AI

🚀 The TensorFlow Object Counting API is an open source framework built on top of TensorFlow and Keras that makes it easy to develop object counting systems!