Rainfall analysis of Maharashtra - Season/Month wise forecasting. Different methods have been used. The main goal of this project is to increase the performance of forecasted results during rainy seasons.

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Jupyter Notebook python data-science machine-learning deep-learning time-series analysis lstm neural-networks ann maharashtra time-series-analysis series-forecasting

neuralnilm prototype

No description or website provided.

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Jupyter Notebook python energy deep-learning neural-networks nilm energy-disaggregation

nn-segmentation-for-lar

Neural networks to segment some type of biomedical images

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python bioinformatics keras mri neural-networks convolutional-neural-networks mit-license

ner-tagger-dynet

See http://github.com/onurgu/joint-ner-and-md-tagger This repository is basically a Bi-LSTM based sequence tagger in both Tensorflow and Dynet which can utilize several sources of information about each word unit like word embeddings, character based embeddings and morphological tags from an FST to obtain the representation for that specific wor…

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sed python shell perl Jupyter Notebook awk tensorflow named-entity-recognition neural-networks reimplementation dynet sequence-tagger bi-lstm

NDD

Drug-Drug Interaction Predicting by Neural Network Using Integrated Similarity

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python deep-neural-networks neural-network similarity neural-networks drug-discovery similarity-measures predictive-modeling snf ndd drug-drug-interaction drug-target-interactions drug-similarities

nn-toolbox

A toolbox of commonly used deep learning components, procedures and applications

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python data-science machine-learning deep-learning pytorch neural-networks

dlime experiments

In this work, we propose a deterministic version of Local Interpretable Model Agnostic Explanations (LIME) and the experimental results on three different medical datasets shows the superiority for Deterministic Local Interpretable Model-Agnostic Explanations (DLIME).

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Jupyter Notebook python machine-learning random-forest scikit-learn neural-networks clusters knn lime classifiers explainable-ai explainable-ml xai heirarchical-clustering breast-cancer-dataset dlime

receptive field analysis toolbox

A toolbox for receptive field analysis and visualizing neural network architectures

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python javascript visualization machine-learning deep-learning tensorflow pytorch neural-networks hacktoberfest neural-architecture-search receptive-field neural-architecture-optimization receptive-field-analysis

m-phate

Multislice PHATE for tensor embeddings

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python shell visualization deep-learning neural-networks interpretable-deep-learning

reading-group

Discussions on papers, frameworks, blogs and ideas every Saturday.

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Jupyter Notebook python nlp machine-learning computer-vision deep-learning neural-networks papers discussions

SparkMlpDow30

A new stock trading and prediction model based on a MLP neural network utilizing technical analysis indicator values as features (using Apache Spark MLlib)

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java neural-networks financial-analysis spark-mllib price-prediction

deep learning ecology

Educational Resources on Neural Networks for Ecology and Remote Sensing

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Jupyter Notebook education teaching remote-sensing neural-networks ecology

Prediction-using-Bayesian-Neural-Network

Prediction of continuous signals data and Web tracking data using dynamic Bayesian neural network. Compared with other network architectures aswell.

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matlab TeX time-series neural-networks object-tracking prediction-algorithm

MI-MVI 2016

Semestral project for the subject Methods of computational inteligence @ fit.cvut.cz

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Jupyter Notebook python game reinforcement-learning keras neural-networks supervised-learning deep-q-network keras-neural-networks 2048

Image-Captioning-with-Beam-Search

Generating image captions using Xception Network and Beam Search in Keras

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Jupyter Notebook keras cnn lstm neural-networks rnn image-captioning beam-search xception andrej-karpathy

picovoice

The end-to-end platform for building voice products at scale

✭ 316

typescript java javascript C#swift python nodejs android ios machine-learning microcontroller embedded ai deep-learning offline dotnet voice voice-commands voice-recognition speech-recognition neural-networks

perfect match

➕➕ Perfect Match is a simple method for learning representations for counterfactual inference with neural networks.

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python r shell machine-learning deep-learning neural-networks causal-inference

neural-decoder

Neural Network Decoders for Quantum Error Correcting Codes

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python quantum-computing neural-networks quantum-information error-correcting-codes

torchprune

A research library for pytorch-based neural network pruning, compression, and more.

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shell python Dockerfile machine-learning sparsity compression deep-learning pytorch neural-networks pruning tensor-decomposition neural-architecture-search weight-pruning sparsification filter-pruning tinyml generalization-ability coresets pruning-algorithms

autograph

Machine Learning Library for Rust

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rust machine-learning cuda neural-networks

lt1

Course on Language Technologies and NLP

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TeX course neural-networks language-technology language-models graduate-course

ml gallery

This is a master project of some experiments with Neural Networks. Every project here is runnable, visualized and explained clearly.

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javascript react natural-language-processing reinforcement-learning computer-vision deep-learning p5 pytorch neural-networks unsupervised-learning visualizations tensorflowjs fastapi chakra-ui

Word-Embeddings-and-Document-Vectors

An evaluation of word-embeddings for classification

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python shell elasticsearch word2vec naive-bayes-classifier neural-networks scikitlearn-machine-learning fasttext-embeddings

dotnets

Create simple drawings of neural networks using graphviz

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python Makefile graphviz neural-networks

MachineRay

This is a project that uses AI to create abstract art. It is released under the CC BY-NC-SA license. See License.txt for details.

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Jupyter Notebook art machine-learning artificial-intelligence gan neural-networks abstract-art stylegan2

st gridnet

A Python implementation of the model described in our publication "A convolutional neural network for common-coordinate registration of high-resolution histology images" developed principally for applications to registration of spatial transcriptomics image data.

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python Jupyter Notebook neural-networks image-registration spatial-transcriptomics tissue-registration visium-st

DCASE2017-baseline-system

DCASE 2017 Baseline system

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HTML python machine-learning neural-networks dcase

about

Find out about our group, latest talks, papers and projects.

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deep-learning artificial-intelligence neural-networks nus

EN-FA-CS-Dictionary

💬 An English-Persian Dictionary of Computer Science and Artificial Intelligence

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computer-science machine-learning natural-language-processing computer-vision deep-learning dictionary artificial-intelligence neural-networks

alprbd

Automated Bangla License Plate Detection and Recognition - Implementation. For thesis report visit- https://github.com/dipu-bd/thesis-report

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python image-processing neural-networks research-project license-plate

ultimate-volleyball

3D RL Volleyball environment built on Unity ML-Agents

✭ 60

C#machine-learning reinforcement-learning ai deep-learning unity unity3d deep-reinforcement-learning neural-networks

NSL

Implementation for <Neural Similarity Learning> in NeurIPS'19.

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python shell dynamic similarity neural-networks meta-learning few-shot neurips-2019 spherenet neural-similarity

anatome

Ἀνατομή is a PyTorch library to analyze representation of neural networks

✭ 50

Jupyter Notebook python pytorch neural-networks representation-learning pytorch-library

FlashRL

No description or website provided.

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python game machine-learning reinforcement-learning ai deep-learning deep-reinforcement-learning artificial-intelligence neural-networks tree-search reinforcement-learning-environments per-arne

Merkurius

Portable Deep Learning Library for .NET

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C#machine-learning deep-neural-networks deep-learning dotnet neural-networks dotnet-core dotnet-standard

axon

Nx-powered Neural Networks

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elixir deep-learning neural-networks nx optimizers

EntityEmbedding-Working Example

This repository contains a notebook demonstrating a practical implementation of the so-called Entity Embedding for Encoding Categorical Features for Training a Neural Network.

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Jupyter Notebook encoding neural-networks categorical-features entity-embedding

Causing

Causing: CAUsal INterpretation using Graphs

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