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Top 697 neural-networks open source projects

sktime companion package for deep learning based on TensorFlow

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python deep-learning machine-learning neural-networks time-series scikit-learn

Start Machine Learning In 2020

A complete guide to start and improve in machine learning (ML), artificial intelligence (AI) in 2021 without ANY background in the field and stay up-to-date with the latest news and state-of-the-art techniques!

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Lambdanet

Purely functional artificial neural network library implemented in Haskell.

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haskell deep-learning neural-networks

Cs224n Winter Together

an Open Course Platform for Stanford CS224n (2020 Winter)

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javascript deep-learning nlp neural-networks stanford

Tf 2.0 Hacks

Contains my explorations of TensorFlow 2.x

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jupyter-notebook deep-learning neural-networks

Nn vis

A project for processing neural networks and rendering to gain insights on the architecture and parameters of a model through a decluttered representation.

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python visualization opengl neural-networks rendering-engine

Easy Deep Learning With Keras

Keras tutorial for beginners (using TF backend)

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Handwriting Generation

Implementation of handwriting generation with use of recurrent neural networks in tensorflow. Based on Alex Graves paper (https://arxiv.org/abs/1308.0850).

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python tensorflow neural-networks lstm

Cppflow

Run TensorFlow models in C++ without installation and without Bazel

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c cpp tensorflow neural-networks model inference tensorflow-models tensorflow-examples

Tensorlayer Tricks

How to use TensorLayer

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N Beats

Keras/Pytorch implementation of N-BEATS: Neural basis expansion analysis for interpretable time series forecasting.

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python deep-learning pytorch neural-networks

Brevitas

Brevitas: quantization-aware training in PyTorch

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python pytorch neural-networks speech-recognition image-classification fpga text-to-speech quantization

Cyclegan

Tensorflow implementation of CycleGAN

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python tensorflow neural-networks generative-adversarial-network paper cyclegan

Amazon Forest Computer Vision

Amazon Forest Computer Vision: Satellite Image tagging code using PyTorch / Keras with lots of PyTorch tricks

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Tbd Nets

PyTorch implementation of "Transparency by Design: Closing the Gap Between Performance and Interpretability in Visual Reasoning"

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jupyter-notebook deep-learning machine-learning pytorch visualization neural-networks vqa

Paragraph Vectors

📄 A PyTorch implementation of Paragraph Vectors (doc2vec).

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python deep-learning machine-learning pytorch nlp neural-networks unsupervised-learning

Machine learning basics

Plain python implementations of basic machine learning algorithms

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Jupyter Notebook machine-learning neural-network algorithm neural-networks machine-learning-algorithms logistic-regression linear-regression kmeans ipynb perceptron k-nearest-neighbours k-nn k-nearest-neighbor python-implementations

Supervisely

AI for everyone! 🎉 Neural networks, tools and a library we use in Supervisely

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python jupyter-notebook deep-learning ai neural-networks

Mace Models

Mobile AI Compute Engine Model Zoo

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deep-learning neural-networks style-transfer mobilenet

Artificio

Deep Learning Computer Vision Algorithms for Real-World Use

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Deepspeech

DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers.

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C++python c shell C#swift deep-learning machine-learning tensorflow neural-networks embedded speech-recognition offline speech-to-text deepspeech on-device

Dgi

Deep Graph Infomax (https://arxiv.org/abs/1809.10341)

✭ 326

python pytorch neural-networks unsupervised-learning

Probability

Probabilistic reasoning and statistical analysis in TensorFlow

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Jupyter Notebook python deep-learning machine-learning tensorflow data-science neural-networks statistics bayesian-methods

Lightnet

🌓 Bringing pjreddie's DarkNet out of the shadows #yolo

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python c cython machine-learning computer-vision neural-network artificial-intelligence object-detection ai neural-networks image-classification yolo

Pywick

High-level batteries-included neural network training library for Pytorch

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python deep-learning pytorch neural-networks classification semantic-segmentation

Cs231

Complete Assignments for CS231n: Convolutional Neural Networks for Visual Recognition

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jupyter-notebook deep-learning tensorflow computer-vision convolutional-neural-networks neural-networks image-captioning stanford

Neural Pipeline

Neural networks training pipeline based on PyTorch

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python deep-learning pytorch object-detection neural-networks image-classification pipeline image-segmentation supervised-learning

Inceptiontime

InceptionTime: Finding AlexNet for Time Series Classification

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python deep-learning neural-networks time-series-analysis scalable inception

Kraken

OCR engine for all the languages

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python neural-networks lstm ocr

Gdrl

Grokking Deep Reinforcement Learning

✭ 304

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Pytorch exercises

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jupyter-notebook pytorch neural-networks exercises

Soft Dtw

Python implementation of soft-DTW.

✭ 300

python neural-networks time-series

Segmentation models.pytorch

Segmentation models with pretrained backbones. PyTorch.

Neuralpde.jl

Physics-Informed Neural Networks (PINN) and Deep BSDE Solvers of Differential Equations for Scientific Machine Learning (SciML) accelerated simulation

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julia neural-network neural-networks

Mlpractical

Machine Learning Practical course repository

✭ 295

jupyter-notebook machine-learning neural-networks

Komputation

Komputation is a neural network framework for the Java Virtual Machine written in Kotlin and CUDA C.

✭ 295

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Pix2depth

DEPRECATED: Depth Map Estimation from Monocular Images

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python deep-learning keras neural-networks gans pix2pix cyclegan

Deep Learning Papers

Papers about deep learning ordered by task, date. Current state-of-the-art papers are labelled.

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Uncertainty Baselines

High-quality implementations of standard and SOTA methods on a variety of tasks.

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Rust Autograd

Tensors and differentiable operations (like TensorFlow) in Rust

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rust deep-learning machine-learning neural-networks tensor automatic-differentiation

Pytorch Lesson Zh

pytorch 包教不包会

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Sealion

The first machine learning framework that encourages learning ML concepts instead of memorizing class functions.

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python machine-learning data-science neural-networks data-analysis unsupervised-learning modeling

Awesome Distributed Deep Learning

A curated list of awesome Distributed Deep Learning resources.

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Sharpneat

SharpNEAT - Evolution of Neural Networks. A C# .NET Framework.

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Rlgraph

RLgraph: Modular computation graphs for deep reinforcement learning

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Flux.jl

Relax! Flux is the ML library that doesn't make you tensor

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Moniel

Interactive Notation for Computational Graphs

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javascript deep-learning neural-networks

Pycox

Survival analysis with PyTorch

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python deep-learning machine-learning pytorch neural-networks

Deeplearning.ai Assignments

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Awesome Ai Awesomeness

A curated list of awesome awesomeness about artificial intelligence

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Keras Vis

Neural network visualization toolkit for keras

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Deeplearning Challenges

Codes for weekly challenges on Deep Learning by Siraj

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jupyter-notebook deep-learning machine-learning computer-vision neural-networks

Ergo

🧠 A tool that makes AI easier.

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python deep-learning machine-learning tensorflow keras neural-networks dataset gpu

Graph Based Deep Learning Literature

links to conference publications in graph-based deep learning

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Jupyter Notebook deep-learning neural-networks graph graph-convolutional-networks graph-neural-networks graph-representation-learning conference-publications

Deeplearning.ai Notes

These are my notes which I prepared during deep learning specialization taught by AI guru Andrew NG. I have used diagrams and code snippets from the code whenever needed but following The Honor Code.

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Carrot

🥕 Evolutionary Neural Networks in JavaScript

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javascript nodejs machine-learning browser neural-networks lstm recurrent-neural-networks easy-to-use

Painters

🎨 Winning solution for the Painter by Numbers competition on Kaggle.

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python deep-learning machine-learning neural-networks kaggle competition

Place Recognition Using Autoencoders And Nn

Place recognition with WiFi fingerprints using Autoencoders and Neural Networks