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Top 1253 neural-network open source projects

An Open Source Machine Learning Framework for Everyone

✭ 161,335

python C++MLIR Starlark HTML go deep-learning machine-learning tensorflow neural-network deep-neural-networks distributed ml

Tfjs

A WebGL accelerated JavaScript library for training and deploying ML models.

✭ 15,834

javascript typescript C++python Starlark HTML deep-learning machine-learning neural-network webgl wasm gpu-acceleration web-assembly deep-neural-network

Artificial Intelligence Deep Learning Machine Learning Tutorials

A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Climate / Energy, Automotives, Retail, Pharma, Medicine, Healthcare, Policy, Ethics and more.

Deep Learning Book

Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"

✭ 2,705

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Datacamp Python Data Science Track

All the slides, accompanying code and exercises all stored in this repo. 🎈

✭ 250

python nlp data-science neural-network natural-language-processing neural-networks pandas scikit-learn machinelearning datascience

Flownet3d

FlowNet3D: Learning Scene Flow in 3D Point Clouds (CVPR 2019)

✭ 249

python tensorflow neural-network point-cloud

Mixture Density Networks For Distribution And Uncertainty Estimation

A generic Mixture Density Networks (MDN) implementation for distribution and uncertainty estimation by using Keras (TensorFlow)

✭ 249

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Zincbase

A batteries-included kit for knowledge graphs

✭ 249

python prolog neural-network knowledge-graph knowledge-base

Deepreg

Medical image registration using deep learning

✭ 245

python deep-learning neural-network deep-neural-networks convolutional-neural-networks

Compressai

A PyTorch library and evaluation platform for end-to-end compression research

✭ 246

python deep-learning machine-learning pytorch neural-network deep-neural-networks compression

Voice Gender

Gender recognition by voice and speech analysis

✭ 248

r machine-learning data-science neural-network artificial-intelligence ai speech voice logistic-regression signal

Good Papers

I try my best to keep updated cutting-edge knowledge in Machine Learning/Deep Learning and Natural Language Processing. These are my notes on some good papers

✭ 248

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Pretty Print Confusion Matrix

Confusion Matrix in Python: plot a pretty confusion matrix (like Matlab) in python using seaborn and matplotlib

✭ 244

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Ml Games

Machine learning games. Use combination of genetic algorithms and neural networks to control the behaviour of in-game objects.

✭ 247

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Nexus

Experimental tensor-typed deep learning

✭ 244

scala deep-learning neural-network tensor

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.

✭ 242

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Deep Learning Papers For Fish

a list of pappers in deep learning for new-comes.

✭ 243

deep-learning neural-network papers

Panotti

A multi-channel neural network audio classifier using Keras

✭ 244

python tensorflow keras neural-network convolutional-neural-networks

Kerasdeepspeech

A Keras CTC implementation of Baidu's DeepSpeech for model experimentation

✭ 245

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Torchfusion

A modern deep learning framework built to accelerate research and development of AI systems

✭ 244

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Lightnet

Efficient, transparent deep learning in hundreds of lines of code.

✭ 243

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Image Super Resolution

🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.

✭ 3,293

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Bertviz

Tool for visualizing attention in the Transformer model (BERT, GPT-2, Albert, XLNet, RoBERTa, CTRL, etc.)

✭ 3,443

python javascript Jupyter Notebook machine-learning pytorch nlp visualization neural-network natural-language-processing transformer bert roberta gpt2

Igel

a delightful machine learning tool that allows you to train, test, and use models without writing code

Mozart

An optical music recognition (OMR) system. Converts sheet music to a machine-readable version.

✭ 241

jupyter-notebook neural-network music opencv reader sklearn optical-character-recognition

Backpropagation

Implementing multilayer neural networks through backpropagation using Java.

✭ 242

java machine-learning neural-network backpropagation

Minidnn

A header-only C++ library for deep neural networks

✭ 241

deep-learning machine-learning neural-network

Segan pytorch

Speech Enhancement Generative Adversarial Network in PyTorch

✭ 242

python pytorch neural-network deeplearning gans

Learningx

Deep & Classical Reinforcement Learning + Machine Learning Examples in Python

✭ 241

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The Elements Of Statistical Learning Notebooks

Jupyter notebooks for summarizing and reproducing the textbook "The Elements of Statistical Learning" 2/E by Hastie, Tibshirani, and Friedman

✭ 241

python3 jupyter-notebook machine-learning pytorch neural-network matplotlib scipy

Blasjs

Pure Javascript manually written 👌 implementation of BLAS, Many numerical software applications use BLAS computations, including Armadillo, LAPACK, LINPACK, GNU Octave, Mathematica, MATLAB, NumPy, R, and Julia.

✭ 241

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Deepnlp Models Pytorch

Pytorch implementations of various Deep NLP models in cs-224n(Stanford Univ)

✭ 2,760

Jupyter Notebook deep-learning pytorch nlp neural-network natural-language-processing rnn deep-nlp-models stanford-univ cs-224n

Bmw Yolov4 Inference Api Gpu

This is a repository for an nocode object detection inference API using the Yolov3 and Yolov4 Darknet framework.

✭ 237

python deep-learning docker api computer-vision dockerfile neural-network rest-api gpu deeplearning yolo yolov3 inference bounding-boxes

Nascell Automl

✭ 236

python machine-learning neural-network automl

Juggernaut

Neural Network in Rust

✭ 235

rust neural-network

Hearthstone Ai

A Hearthstone AI based on Monte Carlo tree search and neural nets written in modern C++.

✭ 233

neural-network ai hearthstone

Pyconv

Pyramidal Convolution: Rethinking Convolutional Neural Networks for Visual Recognition (https://arxiv.org/pdf/2006.11538.pdf)

✭ 231

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Modernmt

Neural Adaptive Machine Translation that adapts to context and learns from corrections.

✭ 231

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Darkon

Toolkit to Hack Your Deep Learning Models

✭ 231

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Hamiltonian Nn

Code for our paper "Hamiltonian Neural Networks"

✭ 229

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Color Accessibility Neural Network Deeplearnjs

🍃 Using a Neural Network to improve web accessibility in JavaScript.

✭ 230

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Deep Rl Trading

playing idealized trading games with deep reinforcement learning

✭ 228

python deep-learning machine-learning neural-network reinforcement-learning time-series trading deep-reinforcement-learning stock stock-market dqn quantitative-trading q-learning

Unet Pytorch

U-Net implementation for PyTorch based on https://arxiv.org/abs/1505.04597

✭ 229

python deep-learning pytorch neural-network semantic-segmentation

Nima.pytorch

NIMA: Neural IMage Assessment

✭ 227

python deep-learning machine-learning pytorch computer-vision neural-network arxiv

Deep Learning In Production

Develop production ready deep learning code, deploy it and scale it

✭ 216

python jupyter-notebook deep-learning machine-learning tensorflow neural-network cloud ai deeplearning semantic-segmentation deployment training unet production

Paddle

PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）

✭ 17,232

python C++Cuda CMake shell c deep-learning machine-learning neural-network scalability efficiency paddlepaddle distributed-training

Pytorch Handbook

pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行

✭ 15,817

Jupyter Notebook deep-learning machine-learning pytorch neural-network pytorch-tutorials pytorch-handbook

Nemo

NeMo: a toolkit for conversational AI

✭ 3,685

Jupyter Notebook python Roff shell C++HTML deep-learning nlp neural-network speech-recognition nlp-machine-learning text-to-speech machine-translation speech-synthesis speech-to-text nmt

Tensormol

Tensorflow + Molecules = TensorMol

✭ 226

python machine-learning tensorflow neural-network simulation chemistry molecular-dynamics

Text summarization with tensorflow

Implementation of a seq2seq model for summarization of textual data. Demonstrated on amazon reviews, github issues and news articles.

✭ 226

python jupyter-notebook deep-learning machine-learning tensorflow nlp neural-network natural-language-processing seq2seq encoder-decoder summarization sequence-to-sequence text-summarization

Abagail

The library contains a number of interconnected Java packages that implement machine learning and artificial intelligence algorithms. These are artificial intelligence algorithms implemented for the kind of people that like to implement algorithms themselves.

✭ 225

java machine-learning neural-network optimization-algorithms

Ivis

Dimensionality reduction in very large datasets using Siamese Networks

✭ 224

python machine-learning neural-network data-visualization

My Awesome Ai Bookmarks

Curated list of my reads, implementations and core concepts of Artificial Intelligence, Deep Learning, Machine Learning by best folk in the world.

✭ 223

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Headliner

🏖 Easy training and deployment of seq2seq models.

✭ 221

python tensorflow nlp neural-network seq2seq

Rnn ctc

Recurrent Neural Network and Long Short Term Memory (LSTM) with Connectionist Temporal Classification implemented in Theano. Includes a Toy training example.

✭ 220

python deep-learning neural-network lstm ocr speech-recognition rnn recurrent-neural-networks speech-to-text captcha theano gru ctc

Mirror

Visualisation tool for CNNs in pytorch

✭ 219

python jupyter-notebook deep-learning pytorch neural-network

Neural Network P5

Deprecated! See:

✭ 218

javascript p5js machine-learning neural-network genetic-algorithm neuroevolution

Libonnx

A lightweight, portable pure C99 onnx inference engine for embedded devices with hardware acceleration support.

✭ 217

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Arima Lstm Hybrid Corrcoef Predict

Applied an ARIMA-LSTM hybrid model to predict future price correlation coefficients of two assets

✭ 218

jupyter-notebook machine-learning neural-network

Neuralnetworksanddeeplearning.com.pdf

LaTeX/PDF + Epub version of the online book (http://neuralnetworksanddeeplearning.com) ”Neural Networks and Deep Learning“ by Michael Nielsen (@mnielsen)

✭ 216

deep-learning machine-learning tex neural-network neural-networks latex

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