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Neural Network

Artificial neural networks (ANN) are computational systems that "learn" to perform tasks by considering examples, generally without being programmed with any task-specific rules.

Here are 20,094 public repositories matching this topic...

gopala-kr / summary

summaries of all the papers I read

machine-learning information-retrieval reinforcement-learning computer-vision deep-learning neural-network speech-recognition quantum-computing arxiv nlp-resources blockchain-technology

Updated Sep 17, 2024

Gitstar-OC / mindect

markdown machine-learning deep-learning neural-network nextjs seo supervised-learning seo-optimization unsupervised-learning mdx

Updated Sep 17, 2024
MDX

alkorolyov / sophius

NN architecture generation by templates in pytorch

neural-network genetic-algorithm pytroch

Updated Sep 17, 2024
Jupyter Notebook

pytorch / pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

python machine-learning deep-learning neural-network gpu numpy autograd tensor

Updated Sep 17, 2024
Python

virgs / flappy-bird-ai

Flappy bird played by neural network improved by a genetic algorithm.

neural-network genetic-algorithm flappy-bird artificial-intelligence

Updated Sep 17, 2024
TypeScript

pytorch / executorch

On-device AI across mobile, embedded and edge for PyTorch

machine-learning mobile embedded deep-learning neural-network gpu tensor

Updated Sep 17, 2024
C++

google / XNNPACK

High-efficiency floating-point neural network inference operators for mobile, server, and Web

cpu neural-network inference multithreading simd matrix-multiplication neural-networks convolutional-neural-networks convolutional-neural-network inference-optimization mobile-inference

Updated Sep 17, 2024
C

tensorflow / tensorflow

An Open Source Machine Learning Framework for Everyone

python machine-learning deep-neural-networks deep-learning neural-network tensorflow ml distributed

Updated Sep 17, 2024
C++

rishikaa1 / Neural-Network-from-scratch

A self-coded neural network from scratch for regression and classification tasks, featuring custom loss and activation functions. Developed as a B.Tech mini project.

deep-learning neural-network numpy regression classification from-scratch custom-neural-network

Updated Sep 17, 2024
Python

bnfrsMusic / MLRust

rust machine-learning neural-network

Updated Sep 17, 2024
Rust

KasaiHarcore / Artificial-Intelligent-Skills

A Long Term Training On Artificial Intelligence

python git docker learning machine-learning django deep-learning neural-network tensorflow scikit-learn mathematics cnn pytorch seaborn artificial-intelligence rnn matplotlib opencv-python

Updated Sep 17, 2024
Jupyter Notebook

onnx / onnx

Open standard for machine learning interoperability

machine-learning deep-neural-networks deep-learning neural-network mxnet tensorflow scikit-learn keras ml dnn pytorch onnx

Updated Sep 17, 2024
Python

Kotbenek / Hiragana-recognition

Handwritten hiragana recognition software

python machine-learning neural-network tensorflow hiragana cnn character-recognition convolutional-neural-network handwritten-character-recognition

Updated Sep 17, 2024
Python

netron

lutzroeder / netron

Visualizer for neural network, deep learning and machine learning models

machine-learning ai deep-learning neural-network tensorflow numpy keras ml pytorch visualizer machinelearning deeplearning darknet coreml onnx tensorflow-lite safetensors

Updated Sep 17, 2024
JavaScript

djl

deepjavalibrary / djl

An Engine-Agnostic Deep Learning Framework in Java

java machine-learning deep-neural-networks ai deep-learning neural-network mxnet tensorflow ml pytorch autograd onnxruntime djl

Updated Sep 17, 2024
Java

pennylane

PennyLaneAI / pennylane

PennyLane is a cross-platform Python library for quantum computing, quantum machine learning, and quantum chemistry. Train a quantum computer the same way as a neural network.

Updated Sep 17, 2024
Python

DALI

NVIDIA / DALI

A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.

python machine-learning deep-learning neural-network mxnet gpu image-processing pytorch gpu-tensorflow data-processing data-augmentation audio-processing paddle image-augmentation fast-data-pipeline

Updated Sep 17, 2024
C++

MrfoxAK / Artificial-Intelligence

This is All About AI & ML

python data-science machine-learning natural-language-processing deep-learning neural-network machine-learning-algorithms feature-selection feature-extraction feature-engineering datavisualization dataanalysis datapreprocessing jyputer-notebook airtificialintelligence

Updated Sep 17, 2024
Jupyter Notebook

speechbrain / speechbrain.github.io

The SpeechBrain project aims to build a novel speech toolkit fully based on PyTorch. With SpeechBrain users can easily create speech processing systems, ranging from speech recognition (both HMM/DNN and end-to-end), speaker recognition, speech enhancement, speech separation, multi-microphone speech processing, and many others.

Updated Sep 17, 2024
HTML

qdrant

qdrant / qdrant

Qdrant - High-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/

Updated Sep 17, 2024
Rust

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Related Topics

deep-learning machine-learning tensorflow