Generative inpaintingDeepFill v1/v2 with Contextual Attention and Gated Convolution, CVPR 2018, and ICCV 2019 Oral
Stars: ✭ 2,659 (+934.63%)
AgePredictorAge classification from text using PAN16, blogs, Fisher Callhome, and Cancer Forum
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Ml ExamplesArm Machine Learning tutorials and examples
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Customer segmentationAnalysing the content of an E-commerce database that contains list of purchases. Based on the analysis, I develop a model that allows to anticipate the purchases that will be made by a new customer, during the following year from its first purchase.
Stars: ✭ 80 (-68.87%)
LearnopencvLearn OpenCV : C++ and Python Examples
Stars: ✭ 15,385 (+5886.38%)
OneflowOneFlow is a performance-centered and open-source deep learning framework.
Stars: ✭ 2,868 (+1015.95%)
jtkThe Mines Java Toolkit
Stars: ✭ 53 (-79.38%)
Character Based CnnImplementation of character based convolutional neural network
Stars: ✭ 205 (-20.23%)
Chameleon recsysSource code of CHAMELEON - A Deep Learning Meta-Architecture for News Recommender Systems
Stars: ✭ 202 (-21.4%)
RkdOfficial pytorch Implementation of Relational Knowledge Distillation, CVPR 2019
Stars: ✭ 257 (+0%)
Metu-CENGAll the homeworks, studies and projects I've done at Metu-CENG
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NeuraletNeuralet is an open-source platform for edge deep learning models on edge TPU, Jetson Nano, and more.
Stars: ✭ 200 (-22.18%)
NoMLA notebook for machine learning interview
Stars: ✭ 54 (-78.99%)
vlainic.github.ioMy GitHub blog: things you might be interested, and probably not...
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Keras UnetHelper package with multiple U-Net implementations in Keras as well as useful utility tools helpful when working with image semantic segmentation tasks. This library and underlying tools come from multiple projects I performed working on semantic segmentation tasks
Stars: ✭ 196 (-23.74%)
pySmoothA unique time series library in Python that consists of Kalman filters (discrete, extended, and unscented), online ARIMA, and time difference model.
Stars: ✭ 29 (-88.72%)
QuantumSpeech-QCNNIEEE ICASSP 21 - Quantum Convolution Neural Networks for Speech Processing and Automatic Speech Recognition
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HdltexHDLTex: Hierarchical Deep Learning for Text Classification
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taller SparkRTaller SparkR para las Jornadas de Usuarios de R
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setigenPython library for generating and injecting artificial narrow-band signals into radio frequency data
Stars: ✭ 19 (-92.61%)
GermanwordembeddingsToolkit to obtain and preprocess german corpora, train models using word2vec (gensim) and evaluate them with generated testsets
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sdpDeep nonparametric estimation of discrete conditional distributions via smoothed dyadic partitioning
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MegalodonVarious ML/DL Resources organised at a single place.
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CerboPerform Efficient ML/DL Modelling easily
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PlotneuralnetLatex code for making neural networks diagrams
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audiowmarkAudio Watermarking
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Sparse Evolutionary Artificial Neural NetworksAlways sparse. Never dense. But never say never. A repository for the Adaptive Sparse Connectivity concept and its algorithmic instantiation, i.e. Sparse Evolutionary Training, to boost Deep Learning scalability on various aspects (e.g. memory and computational time efficiency, representation and generalization power).
Stars: ✭ 182 (-29.18%)
bristolParallel random matrix tools and complexity for deep learning
Stars: ✭ 25 (-90.27%)
scim[wip]Speech recognition tool-box written by Nim. Based on Arraymancer.
Stars: ✭ 17 (-93.39%)
Andrew Ng NotesThis is Andrew NG Coursera Handwritten Notes.
Stars: ✭ 180 (-29.96%)
vmdpyVariational mode decomposition (VMD) in Python
Stars: ✭ 158 (-38.52%)
Bmw Yolov4 Inference Api CpuThis is a repository for an nocode object detection inference API using the Yolov4 and Yolov3 Opencv.
Stars: ✭ 180 (-29.96%)
zoofszoofs is a python library for performing feature selection using a variety of nature-inspired wrapper algorithms. The algorithms range from swarm-intelligence to physics-based to Evolutionary. It's easy to use , flexible and powerful tool to reduce your feature size.
Stars: ✭ 142 (-44.75%)
bsuir-csn-cmsn-helperRepository containing ready-made laboratory works in the specialty of computing machines, systems and networks
Stars: ✭ 43 (-83.27%)
AudioProcessing-toolboxextract the time domain or frequent domain features from wav format audio
Stars: ✭ 26 (-89.88%)
awesome-multimodal-mlReading list for research topics in multimodal machine learning
Stars: ✭ 3,125 (+1115.95%)
BookLibraryBook Library of P&W Studio
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MLclassMy main Machine Learning class
Stars: ✭ 56 (-78.21%)
Deep Math Machine Learning.aiA blog which talks about machine learning, deep learning algorithms and the Math. and Machine learning algorithms written from scratch.
Stars: ✭ 173 (-32.68%)
Pytorch Kaldipytorch-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.
Stars: ✭ 2,097 (+715.95%)
Improved Dynamic Memory Networks Dmn PlusTheano Implementation of DMN+ (Improved Dynamic Memory Networks) from the paper by Xiong, Merity, & Socher at MetaMind, http://arxiv.org/abs/1603.01417 (Dynamic Memory Networks for Visual and Textual Question Answering)
Stars: ✭ 165 (-35.8%)
speechreca simple speech recognition app using the Web Speech API Interfaces
Stars: ✭ 18 (-93%)
Onnx Caffe2Caffe2 implementation of Open Neural Network Exchange (ONNX)
Stars: ✭ 164 (-36.19%)
OpencvInstallationshell script for openCV installation and configuration in linux based system. Most easy way to configue openCV, you only need to run opencv.sh shell file.
Stars: ✭ 16 (-93.77%)
dspfunSet of *nix utilities for experimentation and learning about spectral analysis of images
Stars: ✭ 21 (-91.83%)
mdctA fast MDCT implementation using SciPy and FFTs
Stars: ✭ 42 (-83.66%)
EgoSplittingA NetworkX implementation of "Ego-splitting Framework: from Non-Overlapping to Overlapping Clusters" (KDD 2017).
Stars: ✭ 78 (-69.65%)
ML-For-Beginners12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
Stars: ✭ 40,023 (+15473.15%)