uncertainty-wizardUncertainty-Wizard is a plugin on top of tensorflow.keras, allowing to easily and efficiently create uncertainty-aware deep neural networks. Also useful if you want to train multiple small models in parallel.
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Xtreme-VisionA High Level Python Library to empower students, developers to build applications and systems enabled with computer vision capabilities.
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ecceML Prediction of Bible Topics and Passages (Python / React)
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Clustering-in-PythonClustering methods in Machine Learning includes both theory and python code of each algorithm. Algorithms include K Mean, K Mode, Hierarchical, DB Scan and Gaussian Mixture Model GMM. Interview questions on clustering are also added in the end.
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kdsb17Gaussian Mixture Convolutional AutoEncoder applied to CT lung scans from the Kaggle Data Science Bowl 2017
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Nearest-Celebrity-FaceTensorflow Implementation of FaceNet: A Unified Embedding for Face Recognition and Clustering to find the celebrity whose face matches the closest to yours.
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SharkStockAutomate swing trading using deep reinforcement learning. The deep deterministic policy gradient-based neural network model trains to choose an action to sell, buy, or hold the stocks to maximize the gain in asset value. The paper also acknowledges the need for a system that predicts the trend in stock value to work along with the reinforcement …
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faster rcnnAn implementation of Faster R-CNN applied to vehicle detection.
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Pytorch Sentiment AnalysisTutorials on getting started with PyTorch and TorchText for sentiment analysis.
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BrainyBrainy is a virtual MRI analyzer. Just upload the MRI scan file and get 3 different classes of tumors detected and segmented. In Beta.
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NeuralNetworksImplementation of a Neural Network that can detect whether a video is in-game or not
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german-sentiment-libAn easy to use python package for deep learning-based german sentiment classification.
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WGAN GPKeras model and tensorflow optimization of 'improved Training of Wasserstein GANs'
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StockerBotTwitter Bot to follow financial trends in publicly traded companies
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levheimcubeNo description or website provided.
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TF2DeepFloorplanTF2 Deep FloorPlan Recognition using a Multi-task Network with Room-boundary-Guided Attention. Enable tensorboard, quantization, flask, tflite, docker, github actions and google colab.
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GLOM-TensorFlowAn attempt at the implementation of GLOM, Geoffrey Hinton's paper for emergent part-whole hierarchies from data
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ubmsFit models to data from unmarked animals using Stan. Uses a similar interface to the R package 'unmarked', while providing the advantages of Bayesian inference and allowing estimation of random effects.
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Keras catVSdog tf estimatorSource for post "An Easy Guide to build new TensorFlow Datasets and Estimator with Keras Model"
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empythyAutomated NLP sentiment predictions- batteries included, or use your own data
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Attention MechanismsImplementations for a family of attention mechanisms, suitable for all kinds of natural language processing tasks and compatible with TensorFlow 2.0 and Keras.
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Word-Level-Eng-Mar-NMTTranslating English sentences to Marathi using Neural Machine Translation
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cnn-visualization-keras-tf2Filter visualization, Feature map visualization, Guided Backprop, GradCAM, Guided-GradCAM, Deep Dream
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DCASE2020 task1Code for DCASE 2020 task 1a and task 1b.
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Senti4SDAn emotion-polarity classifier specifically trained on developers' communication channels
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deep-blueberryIf you've always wanted to learn about deep-learning but don't know where to start, then you might have stumbled upon the right place!
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CRNN-OCR-liteLightweight CRNN for OCR (including handwritten text) with depthwise separable convolutions and spatial transformer module [keras+tf]
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KerasMNISTKeras MNIST for Handwriting Detection
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labml🔎 Monitor deep learning model training and hardware usage from your mobile phone 📱
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machine learning courseArtificial intelligence/machine learning course at UCF in Spring 2020 (Fall 2019 and Spring 2019)
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coral-ordinalTensorflow Keras implementation of ordinal regression using consistent rank logits (CORAL) by Cao et al. (2019)
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KervolutionKervolution implementation using TF2.0
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100DaysOfMLCodeI am taking up the #100DaysOfMLCode Challenge 😎
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brand-sentiment-analysisScripts utilizing Heartex platform to build brand sentiment analysis from the news
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ForExUsing ML to create a ForEx trader to invest my personal finances to get rid of student debt
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RG-FlowThis is project page for the paper "RG-Flow: a hierarchical and explainable flow model based on renormalization group and sparse prior". Paper link: https://arxiv.org/abs/2010.00029
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analyzing-reddit-sentiment-with-awsLearn how to use Kinesis Firehose, AWS Glue, S3, and Amazon Athena by streaming and analyzing reddit comments in realtime. 100-200 level tutorial.
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JoSH[KDD 2020] Hierarchical Topic Mining via Joint Spherical Tree and Text Embedding
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banglabertThis repository contains the official release of the model "BanglaBERT" and associated downstream finetuning code and datasets introduced in the paper titled "BanglaBERT: Language Model Pretraining and Benchmarks for Low-Resource Language Understanding Evaluation in Bangla" accpeted in Findings of the Annual Conference of the North American Chap…
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ACANCode for NAACL 2019 paper: Adversarial Category Alignment Network for Cross-domain Sentiment Classification
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cnn-text-classificationText classification with Convolution Neural Networks on Yelp, IMDB & sentence polarity dataset v1.0
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german-sentimentA data set and model for german sentiment classification.
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