6257 Open source projects that are alternatives of or similar to Learning

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.

A collection of computer vision projects for Acute Lymphoblastic Leukemia classification/early detection.

Face Mask Detection system based on computer vision and deep learning using OpenCV and Tensorflow/Keras

Intro to Deep Learning, including recurrent, convolution, and feed forward neural networks.

Implementation for <SphereFace: Deep Hypersphere Embedding for Face Recognition> in CVPR'17.

Auto-ReID and Other Person Re-Identification Projects

A course in reinforcement learning in the wild

Code repo for realtime multi-person pose estimation in CVPR'17 (Oral)

AIOpen是一个按人工智能三要素（数据、算法、算力）进行AI开源项目分类的汇集项目，项目致力于跟踪目前人工智能（AI）的深度学习（DL）开源项目，并尽可能地罗列目前的开源项目，同时加入了一些曾经研究过的代码。通过这些开源项目，使初次接触AI的人们对人工智能（深度学习）有更清晰和更全面的了解。

Periodic Spatial Generative Adversarial Networks

MTCNN with Motion Detection, on Raspberry Pi with Love

This repository stores the files used for my summer internship's work on "teacher-student learning", an experimental method for training deep neural networks using a trained teacher model.

code for py-R-FCN-multiGPU maintained by bupt-priv

Code examples for training AlexNet using Keras and Theano

VPGNet: Vanishing Point Guided Network for Lane and Road Marking Detection and Recognition (ICCV 2017)

Deep networks for Earth Observation

Keras version of Realtime Multi-Person Pose Estimation project

The repository includes Notebook files and documents of the course I completed in NVIDIA Deep Learning Institute. Feel free to acess and work with the Notebooks and other files.

DL course co-developed by YSDA, HSE and Skoltech

This toolbox is support material for the book on CNN (http://www.convolution.network).

开源人脸口罩检测模型和数据 Detect faces and determine whether people are wearing mask.

Materials for the course of machine learning at Imperial College organized by Yandex SDA

Deformable Convolutional Networks on caffe

Automatic image captioning model based on Caffe, using features from bottom-up attention.

Training Toolbox for Caffe

Introduction to Deep Neural Networks with Keras and Tensorflow

[5 FPS - 150 FPS] Learning Deep Features for One-Class Classification (AnomalyDetection). Corresponds RaspberryPi3. Convert to Tensorflow, ONNX, Caffe, PyTorch. Implementation by Python + OpenVINO/Tensorflow Lite.

Bottom-up attention model for image captioning and VQA, based on Faster R-CNN and Visual Genome

Deep Learning libraries tested on images and time series

Sets up a VM with Keras, TensorFlow, TFLearn and Theano installed

SphereFace+ Implementation for <Learning towards Minimum Hyperspherical Energy> in NIPS'18.

Setup and customize deep learning environment in seconds.

Reimplementation of DRAW

Trojan Attack on Neural Network

Code and files of the deep learning model used to win the Nexar Traffic Light Recognition challenge

💻 Make machines learn so that you don't have to struggle to program them; The ultimate list

中文 Python 笔记

Evaluation of the CNN design choices performance on ImageNet-2012.

3-day dive into deep learning at csc

SeqFace : Making full use of sequence information for face recognition

Oriented Response Networks, in CVPR 2017

Source code for the MICCAI 2016 Paper "Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional NeuralNetworks and 3D Conditional Random Fields"

🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

😌 Automatically detects and crops faces from batches of pictures.

这是一个完整的，端到端的机器学习项目，非常适合有一定基础后拿来练习，以提高对完整机器学习项目的认识

Kubeflow’s superfood for Data Scientists

A collection of pre-trained, state-of-the-art models in the ONNX format

CCF BDCI 2019 互联网新闻情感分析 复赛top1解决方案

Code for Machine Learning for Algorithmic Trading, 2nd edition.

Python binding for Microsoft LightGBM

Automatic headphone equalization from frequency responses

Fast and flexible AutoML with learning guarantees.

风格迁移三部曲

Using approximate bayesian posteriors in deep nets for active learning

Jupyter notebook tutorials from QuantConnect website for Python, Finance and LEAN.

Probabilistic reasoning and statistical analysis in TensorFlow

Code and files to go along with CS329s machine learning model deployment tutorial.

《程序员面试金典》(cc150)