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Top 1253 neural-network open source projects

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"
FlowNet3D: Learning Scene Flow in 3D Point Clouds (CVPR 2019)
Mixture Density Networks For Distribution And Uncertainty Estimation
A generic Mixture Density Networks (MDN) implementation for distribution and uncertainty estimation by using Keras (TensorFlow)
A batteries-included kit for knowledge graphs
A PyTorch library and evaluation platform for end-to-end compression research
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
Pretty Print Confusion Matrix
Confusion Matrix in Python: plot a pretty confusion matrix (like Matlab) in python using seaborn and matplotlib
Ml Games
Machine learning games. Use combination of genetic algorithms and neural networks to control the behaviour of in-game objects.
Experimental tensor-typed deep learning
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.
Deep Learning Papers For Fish
a list of pappers in deep learning for new-comes.
A multi-channel neural network audio classifier using Keras
A modern deep learning framework built to accelerate research and development of AI systems
Efficient, transparent deep learning in hundreds of lines of code.
Tool for visualizing attention in the Transformer model (BERT, GPT-2, Albert, XLNet, RoBERTa, CTRL, etc.)
An optical music recognition (OMR) system. Converts sheet music to a machine-readable version.
Implementing multilayer neural networks through backpropagation using Java.
A header-only C++ library for deep neural networks
Segan pytorch
Speech Enhancement Generative Adversarial Network in PyTorch
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
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.
Bmw Yolov4 Inference Api Gpu
This is a repository for an nocode object detection inference API using the Yolov3 and Yolov4 Darknet framework.
Neural Network in Rust
Hearthstone Ai
A Hearthstone AI based on Monte Carlo tree search and neural nets written in modern C++.
Pyramidal Convolution: Rethinking Convolutional Neural Networks for Visual Recognition (
Neural Adaptive Machine Translation that adapts to context and learns from corrections.
Unet Pytorch
U-Net implementation for PyTorch based on
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)
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
Text summarization with tensorflow
Implementation of a seq2seq model for summarization of textual data. Demonstrated on amazon reviews, github issues and news articles.
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.
Dimensionality reduction in very large datasets using Siamese Networks
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.
🏖 Easy training and deployment of seq2seq models.
Rnn ctc
Recurrent Neural Network and Long Short Term Memory (LSTM) with Connectionist Temporal Classification implemented in Theano. Includes a Toy training example.
Visualisation tool for CNNs in pytorch
A lightweight, portable pure C99 onnx inference engine for embedded devices with hardware acceleration support.
Arima Lstm Hybrid Corrcoef Predict
Applied an ARIMA-LSTM hybrid model to predict future price correlation coefficients of two assets
LaTeX/PDF + Epub version of the online book ( ”Neural Networks and Deep Learning“ by Michael Nielsen (@mnielsen)
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