Projects
- NEURAL-py-EEG — A Neonatal EEG Pre-Processing and Feature Set in python
- neural-renderer-paddle — PaddlePaddle implementation of "A 3D mesh renderer for neural networks"
- neural-response-map — Library to visualize the activations of the hidden layers of artificial neural networks
- neural-semigroups — Neural networks powered research of semigroups
- Neural-Signal-Analysis — A comprehensive Python library for human brain/ cortical organoid/spheroid eeg/ecog/mea data analysis including FFT, Higuchi Fractal Dimension, Transfer Entropy, and more.
- neural-solution — Repository of IntelĀ® Neural Compressor
- neural-source-filter — Python package for NSF (unofficial)
- neural-speed — no summary
- neural-structured-learning — Neural Structured Learning is an open-source TensorFlow framework to train neural networks with structured signals
- neural-style — A PyTorch implementation of artistic style transfer
- neural-style-transfer — This is the python library to convert style of content image to given style image
- neural-tangents — Fast and Easy Infinite Neural Networks in Python
- neural-tools — Luminance and histogram matching tools
- neural3d — Unofficial API for neural3d.xyz
- neuralart — A library for rendering generative art from a randomly initialized neural network.
- neuralartstudio — App for experimenting and creating your own art using neural style transfer
- neuralbandit — Reproducing the experiments of the NeuralBandit and BanditForest papers.
- NeuralBasics — no summary
- neuralbridge — Easy-to-use, one-liner AI model conversion tool between AI frameworks to ensure faster model development and portability with ONNX.
- neuralcompression — A collection of tools for neural compression enthusiasts
- neuralcoref — Coreference Resolution in spaCy with Neural Networks
- neuralee — NeuralEE: a GPU-accelerated elastic embedding dimensionality reduction method for visualization of large-scale scRNA-seq data
- neuralezee — Machine Learning
- neuralfields — A type of potential-based recurrent neural networks implemented with PyTorch
- neuralfilter — neural attention filter
- neuralfit — A neuro-evolution package.
- neuralflow — Deep learning framework built with numpy (cupy)
- neuralflow-cpu — Deep learning framework built with numpy
- NeuralFoil — NeuralFoil is an airfoil aerodynamics analysis tool using physics-informed machine learning, in pure Python/NumPy.
- neuralforecast — Time series forecasting suite using deep learning models
- neuralforge — An educational framework similar to PyTorch, built to be interpretable and easy to implement.
- neuralg — Package providing torch-based neural network approximators of linear algebra operations.
- neuralgym011 — Deep Learning Toolkit (modified)
- neuralgym11 — Deep Learning Toolkit (modified)
- neuralgym111 — Deep Learning Toolkit (modified)
- neuralhydrology — Library for training deep learning models with environmental focus
- neuralib — A Neural-AV library for identifying and classifying malware
- neuralink — This is a learning notes from deeplearning.AI at Coursera, which also provides basic DeepLearning tools.
- neuralint — Neuralint package
- neuralintents — Simple interface for working with intents and chatbots.
- neuralintentsplus — Simple interface for working with intents and chatbots. A built upon version of Neuralnines package.
- neuralIR — test package for in-house colbert
- neuralite — A streamlined Python framework for rapidly building and deploying machine learning-based AIs.
- neuralken — A package to create feedforward neural networks in a short amount of code
- neuralkernel — neural networks as a general-purpose computational framework
- neuralkg — An Open Source Library for Diverse Representation Learning of Knowledge Graphs
- neuralknight — A Chess-playing AI
- neuralml — Biblioteca para criar rede neurais simples
- neuralnest — NeuralNest: An open-source personal AI assistant designed for seamless data integration from various sources, offering versatile connections to Language Learning Models (LLMs), enhanced security, and human-in-the-loop options for a personalized AI experience.
- neuralnet — A high-level library on top of Theano.
- neuralnet-pytorch — no summary
- neuralnet-visualize — Generate a neural network architecture Image
- neuralnetlib — A simple convolutional neural network library with only numpy as dependency
- neuralnetlogical — Neural Network Logic Operators
- neuralnetlogicalop — Neural Network Logic Operators
- neuralnetop — Neural Network Logic Operators
- neuralnetoperator — Neural Network Logic Operators
- neuralnetoperators — Neural Network Logic Operators
- neuralnetpredictor — no summary
- NeuralNetPy — NeuralNetPy is a neural network library created using numpy that allows you to create, train, and save deep learning models.
- neuralnets — A library, based on PyTorch, that implements basic neural network algorithms and useful functions
- neuralnetwork — Artificial Neural Network
- NeuralNetworkCoordinates — NeuralNetworkCoordinates: Precise coordinates for visualizing intricate neural network transformations. Uncover spatial insights, enhance interpretability, and tailor custom visualizations with this specialized Python package.
- NeuralNetworkPY — An easy-to-use Neural Network library I'm building from scratch.
- neuralnetworks-shine7 — Feed Forward Neural Networks
- NeuralNMF — no summary
- neuralogic — PyNeuraLogic lets you use Python to create Differentiable Logic Programs.
- neuraloperator — Learning (Tensorized) Neural Operators in PyTorch.
- neuraloperators — Neural Network Logic Operators
- neuralpde — Neuralpde combines differentiable ode solvers with CNNs to learn PDEs using the method of lines
- neuralpit — NeuralPit SDK
- NeuralPlayground — The standardised environment for the hippocampus and entorhinal cortex models
- neuralplex — An object oriented neural network implementation.
- neuralplot — A Library for visualizing Neural Networks.
- neuralpp — Neural Probabilistic Programs (NeuralPPs)
- neuralpredictors — Sinz Lab Neural System Identification Utilities
- neuralprocesses — A framework for composing Neural Processes in Python
- neuralprophet — NeuralProphet is an easy to learn framework for interpretable time series forecasting.
- neuralpuzzle — A Simple Python package that helps anyone
on building and running deep neural network
in a second.
- neuralpy-torch — A Keras like deep learning library works on top of PyTorch
- neuralqa — NeuralQA: Question Answering on Large Datasets
- neuralrecommender — Simple interface for Recommendation Systems implemented with Neural Networks
- neuralsage — A tool to analyse deep learning models
- neuralsalience — Embeddings ponderation scheme, freely adapted from the paper : 'Learning Neural Word Salience Scores' https://arxiv.org/pdf/1709.01186.pdf
- neuralsampler — neural sampler
- neuralsens — The neuralsens package facilitates sensitivity analysis on neural network models, quantifying input importance. It provides functions for calculating and plotting input significance, and obtaining neuron layer activation functions and derivatives. Compatible with models created in R and Python, it's a robust toolkit for understanding input contributions in neural networks.
- neuralshare-node — Neuralshare's node
- neuralspace — no summary
- neuraltoolkit — A powerful and fast set of tools for loading data, filtering, processing, working with data formats, and basic utilities for electrophysiology and behavioral data.
- neuralviz2 — Testing
- neuralwatermark — no summary
- NeuralWaveFunction — VMC with neural networks as test functions
- neuralworks-lib — neuralworks lib test
- neuralworks-preproc — 2023/02/17
- NeuralX — a user-friendly Python package for neural networks.
- neuranet — NeuraNET Python API library
- neurartist — Ready-to-use artistic deep learning algorithms
- neurax — Easy connections to remote machines
- neuraxle-tensorflow — TensorFlow steps, savers, and utilities for Neuraxle. Neuraxle is a Machine Learning (ML) library for building neat pipelines, providing the right abstractions to both ease research, development, and deployment of your ML applications.
- neurdflib — TEMP RELEASE of new features for RDFLib