2402 Open source projects that are alternatives of or similar to Machine Learning Curriculum

Setup and customize deep learning environment in seconds.

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Get started with Machine Learning in TensorFlow with a selection of good reads and implemented examples!

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This is a STORN (Stochastical Recurrent Neural Network) implementation for keras!

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This is the Curriculum to learn Machine Leaning from scratch to expert.

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C++ project to implement MTCNN, a perfect face detect algorithm, on different DL frameworks. The most popular frameworks: caffe/mxnet/tensorflow, are all suppported now

This repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, such as text generation, machine translation, deep convolution GAN and other actual combat code.

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DenseNet Caffe Models, converted from https://github.com/liuzhuang13/DenseNet

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arcface and retinaface model convert mxnet to onnx.

Go package for computer vision using OpenCV 4 and beyond.

Temporal Segments LSTM and Temporal-Inception for Activity Recognition

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CNN model inference benchmarks for some popular deep learning frameworks

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

CapsNet (Capsules Net) in Geoffrey E Hinton paper "Dynamic Routing Between Capsules" - State Of the Art

O-CNN: Octree-based Convolutional Neural Networks for 3D Shape Analysis

A set of functions for supervised feature learning/classification of mental states from EEG based on "EEG images" idea.

The data is the future of oil, digging the potential value of the data is very meaningful. This library records my road of machine learning study.

Repository for most of the code from my YouTube channel

Implementation of a hierarchical CNN based model to detect Big Five personality traits

Mxnet2Caffe_Tensor RT

Implementation of State-of-the-art Text Classification Models in Pytorch

This is an open sourced book on deep learning.

Python library to easily log experiments and parallelize hyperparameter search for neural networks

RMDL: Random Multimodel Deep Learning for Classification

Deep Convolutional Neural Networks for Musical Source Separation

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

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Models and code related to sketch simplification of rough sketches.

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