SciPy

LSTM-Crypto-Price-PredictionSC4RECOIN/LSTM-Crypto-Price-Prediction

Predicts Bitcoin price trends using an LSTM-RNN with technical indicators for automated trading via the Binance API.

scBERTTencentAILabHealthcare/scBERT

A BERT-based foundation model pretrained on large-scale scRNA-seq data for automated cell type annotation in single-cell analysis.

NNDIALshawnwun/NNDIAL

An open-source toolkit for building end-to-end trainable task-oriented dialogue models with neural networks.

tfdeployriga/tfdeploy

Deploy TensorFlow graphs for fast evaluation and export to environments without TensorFlow, using NumPy.

GitHub repositorypglira/simpleICP

A simple, multi-language implementation of the Iterative Closest Point algorithm for 3D point cloud registration.

Deep stacked residual bidirectional LSTMs for HARguillaume-chevalier/HAR-stacked-residual-bidir-LSTMs

A deep learning architecture using stacked residual bidirectional LSTM cells with TensorFlow for human activity recognition from sensor data.

scikit-rvmJamesRitchie/scikit-rvm

A scikit-learn compatible Python implementation of the Relevance Vector Machine for sparse Bayesian learning.

Gammatonedetly/gammatone

A Python toolkit for generating gammatone-based spectrograms using perceptual models of human hearing.

Optimal Transport Toolsgoogle-research/ott

A Python toolbox for solving optimal transport problems with JAX-powered computational efficiency.

visualize_MLayush1997/visualize_ML

A Python package for automated univariate and bivariate data analysis and visualization to streamline machine learning workflows.

climinBRML/climin

A Python package providing gradient-based optimizers specifically designed for machine learning scenarios.

map2gazeboshilohc/map2gazebo

ROS package that converts 2D occupancy grid maps into 3D Gazebo simulation environments with obstacle meshes.

bayesloopchristophmark/bayesloop

A Python probabilistic programming framework for objective model selection in time-varying parameter time series models.

neurolabzueve/neurolab

A simple and powerful neural network library for Python with a MATLAB-like API and flexible configuration.

Attentive Object Trackingakosiorek/hart

A TensorFlow implementation of hierarchical attentive recurrent neural networks for single object tracking in videos.

Deep Belief Nets for Topic Modelinglarsmaaloee/deep-belief-nets-for-topic-modeling

A Python toolbox using deep belief networks for topic modeling on document data, producing latent representations for content-based recommendation.

quantecon_nyu_2016jstac/quantecon_nyu_2016

A PhD-level course on computational economics covering Python, Julia, and economic modeling techniques.

Torch7 Tutorialsclementfarabet/ipam-tutorials

Tutorial materials for the 2012 IPAM Graduate Summer School on Deep Learning and Feature Learning using Theano and Torch.

windMLcigroup-ol/windml

A Python framework for accessing wind data sources and performing renewable energy forecasting and prediction.

scikit-mdrEpistasisLab/scikit-mdr

A scikit-learn-compatible Python implementation of Multifactor Dimensionality Reduction (MDR) for feature construction.

maptracemzucker/maptrace

A Python tool that converts raster map images into clean, watertight polygonal vector maps for crisp display graphics.

PyDMDmathLab/PyDMD

A Python package for Dynamic Mode Decomposition, providing tools to extract spatiotemporal coherent structures from time-varying datasets.

Introduction to Deep Learning Using Python (GitHub)rouseguy/intro2deeplearning

A hands-on workshop introducing deep learning concepts with practical examples using neural networks, CNNs, RNNs, and autoencoders.

Tutorials to get started on signal processing for machine learningjinglescode/python-signal-processing

A Python package and tutorial collection for signal processing and machine learning, built on NumPy and SciPy.

pydiogmentSuperKogito/pydiogment

Python library for audio augmentation, generating multiple audio files from a mono source with speed, tone, and amplitude modifications.

Multilingual Latent Dirichlet Allocation LDAArtificiAI/Multilingual-Latent-Dirichlet-Allocation-LDA

A Python pipeline for multilingual text clustering using Latent Dirichlet Allocation with stop words removal, n-gram features, and inverse stemming.

Unsupervised Object Countingakosiorek/attend_infer_repeat

A TensorFlow implementation of Attend, Infer, Repeat (AIR), a generative model for fast scene understanding by reconstructing objects sequentially.

Big-fishfish-quant/big-fish

A Python toolbox for analyzing smFISH microscopy images, including spot detection and cell segmentation.

Selected Topics in Audio Signal Processingspatialaudio/selected-topics-in-audio-signal-processing-exercises

Interactive Jupyter notebook exercises for an audio signal processing lecture, covering practical implementations and simulations.

Filtering signal, plotting the STFT and the Laplace transformguillaume-chevalier/filtering-stft-and-laplace-transform

A Python demonstration of applying a Butterworth low-pass filter to a signal and visualizing its Short-Time Fourier Transform and Laplace transform.

SnapVXsnap-stanford/snapvx

A Python solver for convex optimization problems defined on graphs, enabling distributed optimization across network structures.

MDCTnils-werner/mdct

A fast Modified Discrete Cosine Transform implementation using SciPy and FFTs for audio coding applications.

BioPyjaredthecoder/BioPy

A Python library implementing biologically-inspired algorithms including neural networks, genetic programming, and particle swarm optimization.

gtfs-segmentsUTEL-UIUC/gtfs_segments

A Python library that processes GTFS bus data to generate concise stop spacing segments and visualizations for transit analysis.

tmmaxbahremsd/tmmax

A high-performance JAX-based library for computing optical properties of multilayer thin-film structures using the transfer matrix method.

FlashDeconvcafferychen777/flashdeconv

A fast spatial deconvolution tool for transcriptomics data that scales to million-spot datasets while preserving rare cell type signals.