solar-c

solar-c's Stars

• ray-project/ray

  Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

  Language:Python33.7k47218.8k5.7k

• modin-project/modin

  Modin: Scale your Pandas workflows by changing a single line of code

  Language:Python9.9k1174.2k651

• minimaxir/textgenrnn

  Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines of code.

  Language:Python4.9k136230752

• jettify/pytorch-optimizer

  torch-optimizer -- collection of optimizers for Pytorch

  Language:Python3k3364299

• benedekrozemberczki/pytorch_geometric_temporal

  PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)

  Language:Python2.7k39187376

• lucidrains/perceiver-pytorch

  Implementation of Perceiver, General Perception with Iterative Attention, in Pytorch

  Language:Python1.1k3159133

• google-deepmind/neural-processes

  This repository contains notebook implementations of the following Neural Process variants: Conditional Neural Processes (CNPs), Neural Processes (NPs), Attentive Neural Processes (ANPs).

  Language:Jupyter Notebook985429149

• PAIR-code/what-if-tool

  Source code/webpage/demos for the What-If Tool

  Language:HTML91129125170

• ratschlab/RGAN

  Recurrent (conditional) generative adversarial networks for generating real-valued time series data.

  Language:Python6403637182

• rizkiarm/LipNet

  Keras implementation of 'LipNet: End-to-End Sentence-level Lipreading'

  Language:Python64028118228

• abey79/vsketch

  Generative plotter art environment for Python

  Language:Python49988150

• nschaetti/EchoTorch

  A Python toolkit for Reservoir Computing and Echo State Network experimentation based on pyTorch. EchoTorch is the only Python module available to easily create Deep Reservoir Computing models.

  Language:Python4471821117

• hsd1503/resnet1d

  PyTorch implementations of several SOTA backbone deep neural networks (such as ResNet, ResNeXt, RegNet) on one-dimensional (1D) signal/time-series data.

  Language:Python4267696

• matousc89/padasip

  Python Adaptive Signal Processing

  Language:Python303171751

• NYUMedML/GNN_for_EHR

  Code for "Graph Neural Network on Electronic Health Records for Predicting Alzheimer’s Disease"

  Language:Python248151259

• deepconvolution/LipNet

  Automated Lip reading from real-time videos in tensorflow in python

  Language:Jupyter Notebook15514845

• VIPL-Audio-Visual-Speech-Understanding/learn-an-effective-lip-reading-model-without-pains

  The PyTorch Code and Model In "Learn an Effective Lip Reading Model without Pains", (https://arxiv.org/abs/2011.07557), which reaches the state-of-art performance in LRW-1000 dataset.

  Language:Python15012637

• broadinstitute/ml4h

  Language:Python1222412623

• MRSRL/complex-networks-release

  Implementation related to the paper "Analysis of deep complex-valued convolutional neural networks for MRI reconstruction and phase-focused applications" by Elizabeth K. Cole et. al; Toolbox for complex-valued convolution and activation functions using an unrolled architecture.

  Language:Python1157324

• hhi-aml/ecg-selfsupervised

  Self-supervised representation learning from 12-lead ECG data

  Language:Python735522

• hassanhub/LipReading

  Language:Jupyter Notebook659625

• antonior92/ecg-age-prediction

  Scripts and modules for training and testing neural network for age prediction from the ECG. Companion code to the paper "Deep neural network-estimated electrocardiographic age as a mortality predictor".

  Language:Python603423

• PierreElias/IntroECG

  Resource library for getting started with deep learning work using electrocardiograms

  Language:Jupyter Notebook541213

• bcol23/HyperIM

  PyTorch implementation of the paper "Hyperbolic Interaction Model For Hierarchical Multi-Label Classification"

  Language:Python485812

• karolpiczak/echonet

  Convolutional neural networks for sound classification

  Language:Python20434

• elmar-peise/python-lsf

  Improved interface for the LSF batch job scheduler

  Language:Python123110

• AdityaKshettri/Power_Line_Interference_Removal_in_ECG_Signal

  Comparison of IIR Notch Filter for removal of power line interference in ECG signal using MATLAB 2015a

  Language:MATLAB11215

• irvined1982/python-lsf-collection

  A collection of python classes and utilities for manipulating Platform LSF

  Language:Python5312

• a2gs/BinanceTrailingStop

  Trailing Stop tool for Binance

  Language:Python2200

• Jakub-Marek/ECG-Filtering-AdaptiveFilters

  For this project, raw ECG signal data will be taken and subjected to an adaptive filter which is aimed to attenuate the P wave, QRS complex, T wave, and U wave of the ECG signal. The specifications will be chosen to best minimize the mean square error and maximize the peak signal to noise ratio between the raw ECG data. Three adaptive filters were applied: least means square, normalized least means squares, and recursive least squares.

  Language:Python1101