This repository contains all the programming exercises in Python for the Coursera course called "Machine Learning" by Adjunct Professor Andrew Ng at Stanford University.

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Jupyter Notebook data-science machine-learning svm linear-regression coursera neural-networks

Minimalistic-Multiple-Layer-Neural-Network-from-Scratch-in-Python

Minimalistic Multiple Layer Neural Network from Scratch in Python.

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python deep-neural-networks deep-learning neural-network regression neural-networks deep-learning-algorithms classification perceptron gradient-descent backpropagation-learning-algorithm backpropagation neural-network-example depplearning

WeSTClass

[CIKM 2018] Weakly-Supervised Neural Text Classification

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python shell text-classification keras neural-networks weakly-supervised-learning

jax-resnet

Implementations and checkpoints for ResNet, Wide ResNet, ResNeXt, ResNet-D, and ResNeSt in JAX (Flax).

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python machine-learning computer-vision deep-learning neural-networks resnet flax jax

warren

Web app to predict closing stock prices in real time using Facebook's Prophet time series algorithm with a multi-variate, single-step time series forecasting strategy.

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Jupyter Notebook CSS python HTML flask neural-networks stock-price-prediction final-year-project yahoo-finance fbprophet series-forecasting stock-market-prediction predict-stock-prices forecasting-model

Anki-decks-deeplearning.ai

This repository contains flashcard decks for DeepLearning.ai courses.

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machine-learning deep-learning neural-networks anki flashcard-decks

SA-PINNs

Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]

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python deep-learning neural-network tensorflow scientific-computing neural-networks pdes sciml pinns physics-informed-learning adaptive-pinns stiff-pdes

Kaggle-Twitter-Sentiment-Analysis

Kaggle Twitter Sentiment Analysis Competition

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python machine-learning sentiment-analysis text-classification keras neural-networks

deepai-js-client

Simple Javascript Client Library for Browser and Node.js for calling DeepAI's APIs

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javascript nodejs machine-learning html5 deep-learning artificial-intelligence style-transfer neural-networks

autowebcompat

Automatically detect web compatibility issues

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python Jupyter Notebook javascript Dockerfile machine-learning deep-learning neural-networks

MachineLearning

A collection of Python code and machine learning exercises

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python Jupyter Notebook shell machine-learning neural-networks boltzmann-machines

nn robustness analysis

Python tools for analyzing the robustness properties of neural networks (NNs) from MIT ACL

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python Jupyter Notebook deep-learning robotics neural-networks control-systems reachability-analysis adversarial-attacks robustness-verification robustness-analysis

Open-L2O

Open-L2O: A Comprehensive and Reproducible Benchmark for Learning to Optimize Algorithms

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C++fortran python CMake c Cuda neural-networks convex-optimization meta-learning learning-to-learn nonconvex-optimization learning-to-optimize

Personalised-aesthetic-assessment-using-residual-adapters

Jupyter notebooks used as supporting material for an msc thesis about personalised aesthetic assessment using residual adapters.

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Jupyter Notebook python deep-neural-networks computer-vision deep-learning thesis notebook photography picture image-processing neural-networks image-manipulation image-classification enhancement deep-learning-tutorial aesthetic-engine aesthetic-visual-analysis residual-adapters personalised-aesthetics-assessment

ntds 2016

Material for the EPFL master course "A Network Tour of Data Science", edition 2016.

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Jupyter Notebook python javascript c TeX Makefile education data-science machine-learning epfl graphs neural-networks

Neural-Network-from-Scratch-Python

A simple implementation to create and train a neural network in python. This implementation does not use any machine learning framework.

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Jupyter Notebook python deep-neural-networks deep-learning neural-network neural-networks artificial-neural-networks

FLAME

FLAME: a library for atomistic modeling environments

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fortran python c Makefile M4 OpenEdge ABL machine-learning neural-networks global-optimization atomistic-simulations interatomic-potentials

glossary

https://machinelearning.wtf/ - An online glossary of machine learning terms.

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SCSS HTML machine-learning deep-neural-networks reinforcement-learning deep-learning machine-learning-algorithms mathematics artificial-intelligence neural-networks

Cognitive-Stories

A Darwin Ecosystem open source Cognitve project with BCI systems and IBM Watson Technology

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HTML processing java openbci neural-networks bci-systems darwin-ecosystem cognitive-story cognitive-stories

DE resnet unet hyb

Depth estimation from RGB images using fully convolutional neural networks.

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python computer-vision deep-learning cnn pytorch artificial-intelligence neural-networks resnet unet depth-estimation nyu-depth-v2 nyu-depth

Apricot

Desktop Agent for Windows

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C#agent machine-learning gui ui dotnet wpf neural-networks user-interface windows-desktop rss-aggregator windows-app graphical-user-interface wpf-application

PCA and autoencoders

Dimensionality reduction

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Jupyter Notebook pca-analysis neural-networks autoencoders

Ensemble-Pytorch

A unified ensemble framework for PyTorch to improve the performance and robustness of your deep learning model.

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python deep-learning pytorch neural-networks ensemble ensemble-learning deeplearning gradient-boosting pytorch-tutorial bagging voting-classifier

AvatarGAN

Generate Cartoon Images using Generative Adversarial Network

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Jupyter Notebook machine-learning avatar deep-learning tensorflow artificial-intelligence generative-adversarial-network gan neural-networks avatar-generator gans emoji-generator

pytorch-partial-crf

CRF, Partial CRF and Marginal CRF in PyTorch

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python crf pytorch neural-networks conditional-random-fields partial-crf

c2board

Tensorboard for Caffe2

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python Makefile visualization deep-learning artificial-intelligence neural-networks tensorboard caffe2

dlaicourse-Tensorflow

Repository containing Jupyter Notebooks for the TensorFlow in Practice specialization in Coursera

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Jupyter Notebook machine-learning deep-learning artificial-intelligence neural-networks artificial-neural-networks convolutional-neural-networks

shapeshop

Towards Understanding Deep Learning Representations via Interactive Experimentation

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python HTML javascript CSS deep-learning interactive neural-networks deep-visualization interpretability model-exploration

speakerIdentificationNeuralNetworks

⇨ The Speaker Recognition System consists of two phases, Feature Extraction and Recognition. ⇨ In the Extraction phase, the Speaker's voice is recorded and typical number of features are extracted to form a model. ⇨ During the Recognition phase, a speech sample is compared against a previously created voice print stored in the database. ⇨ The hi…

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matlab python Jupyter Notebook Mathematica machine-learning deep-neural-networks neural-networks speaker-recognition speaker-identification

global-attribution-mapping

GAM (Global Attribution Mapping) explains the landscape of neural network predictions across subpopulations

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python Makefile neural-networks explainable-ai explainable-ml

graph parser

SOTA TAG Parser

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python neural-networks tree-adjoining-grammar biaffine-parser

porfir

Голосовой ассистент Порфирьевич

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kotlin android nlp speech-synthesis speech-recognition neural-networks voice-assistant

information-theory-deep-learning

Resources and Implementations (PyTorch) for Information Theoretical concepts in Deep Learning

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Jupyter Notebook deep-neural-networks deep-learning information-theory pytorch neural-networks

pyconvsegnet

Semantic Segmentation PyTorch code for our paper: Pyramidal Convolution: Rethinking Convolutional Neural Networks for Visual Recognition (https://arxiv.org/pdf/2006.11538.pdf)

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python Cuda C++shell machine-learning computer-vision deep-learning pytorch neural-networks segmentation pattern-recognition semantic-segmentation scene-recognition ade20k scene-parsing pyconv

FigureQA-baseline

TensorFlow implementation of the CNN-LSTM, Relation Network and text-only baselines for the paper "FigureQA: An Annotated Figure Dataset for Visual Reasoning"

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python microsoft deep-learning tensorflow neural-networks vqa relation-network relational-reasoning visual-question-answering figure-analysis

ARC

Code for Attentive Recurrent Comparators

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python deep-learning artificial-intelligence neural-networks

INFO320

Neural Networks and Bayesian Learning

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Jupyter Notebook neural-networks bayesian-deep-learning bayesian-models approximate-bayesian-inference pyro-ppl

retinanet-tensorflow

Implementation of RetinaNet in TensorFlow

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python shell machine-learning computer-vision deep-learning neural-networks object-detection

zahak

A UCI compatible chess AI in Go

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go c assembly C++chess-engine chess neural-networks uci-chess-engine uci-protocol nnue

barrage

Barrage is an opinionated supervised deep learning tool built on top of TensorFlow 2.x designed to standardize and orchestrate the training and scoring of complicated models.

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