matlab画樱花树源代码-my_stars:我的GitHub明星精选清单！

# Awesome Stars [](https://github.com/sindresorhus/awesome) > A curated list of my GitHub stars! Generated by [starred](https://github.com/maguowei/starred) ## Contents - [C](#c) - [C++](#c++) - [Gnuplot](#gnuplot) - [Go](#go) - [HTML](#html) - [Haskell](#haskell) - [Java](#java) - [JavaScript](#javascript) - [Jupyter Notebook](#jupyter-notebook) - [Lex](#lex) - [Lua](#lua) - [Matlab](#matlab) - [OpenEdge ABL](#openedge-abl) - [Others](#others) - [PHP](#php) - [Python](#python) - [R](#r) - [Roff](#roff) - [SRecode Template](#srecode-template) - [Shell](#shell) - [SourcePawn](#sourcepawn) - [TeX](#tex) ## C - [phrase2vec](https://github.com/zseymour/phrase2vec) - Implementation of phrase2vec from modified word2vec code. - [iclr2017](https://github.com/mchen24/iclr2017) - Doc2VecC from the paper "Efficient Vector Representation for Documents through Corruption" - [tinier-nn](https://github.com/codekansas/tinier-nn) - :iphone: Binarized Neural Network TF training code + C matrix / eval library. - [libpostal](https://github.com/openvenues/libpostal) - A C library for parsing/normalizing street addresses around the world. Powered by statistical NLP and open geo data. - [orp](https://github.com/ProjectVault/orp) - ## C++ - [faiss](https://github.com/facebookresearch/faiss) - A library for efficient similarity search and clustering of dense vectors. - [leela-zero](https://github.com/leela-zero/leela-zero) - Go engine with no human-provided knowledge, modeled after the AlphaGo Zero paper. - [tesseract](https://github.com/tesseract-ocr/tesseract) - Tesseract Open Source OCR Engine (main repository) - [singular](https://github.com/karlstratos/singular) - - [AntonymDetection](https://github.com/tticoin/AntonymDetection) - Implementation of Word Embedding-based Antonym Detection using Thesauri and Distributional Information in NAACL2015 ## Gnuplot - [open-source-rover](https://github.com/nasa-jpl/open-source-rover) - A build-it-yourself, 6-wheel rover based on the rovers on Mars! ## Go - [tenet](https://github.com/robertsdionne/tenet) - Implements Decoupled Neural Interfaces using Synthetic Gradients https://arxiv.org/abs/1608.05343. - [rwa](https://github.com/unixpickle/rwa) - RWA recurrent neural networks ## HTML - [machine-learning](https://github.com/ethen8181/machine-learning) - :earth_americas: machine learning tutorials (mainly in Python3) - [fastText](https://github.com/facebookresearch/fastText) - Library for fast text representation and classification. - [A-Guide-to-Deep-Learning](https://github.com/YerevaNN/A-Guide-to-Deep-Learning) - A detailed guide to deep learning: http://yerevann.com/a-guide-to-deep-learning/ - [datefinder](https://github.com/akoumjian/datefinder) - Find dates inside text using Python and get back datetime objects ## Haskell - [DeepDarkFantasy](https://github.com/ThoughtWorksInc/DeepDarkFantasy) - A Programming Language for Deep Learning ## Java - [ACBiMA](https://github.com/windx0303/ACBiMA) - ACBiMA - [mgfsm](https://github.com/uma-pi1/mgfsm) - Large scale frequent sequence mining - [boilerpipe](https://github.com/kohlschutter/boilerpipe) - Work in progress transmit from Google Code ## JavaScript - [deeptraffic](https://github.com/lexfridman/deeptraffic) - DeepTraffic is a deep reinforcement learning competition, part of the MIT Deep Learning series. - [regexgen](https://github.com/devongovett/regexgen) - Generate regular expressions that match a set of strings - [neural-network-papers](https://github.com/robertsdionne/neural-network-papers) - - [hacker-scripts](https://github.com/NARKOZ/hacker-scripts) - Based on a true story ## Jupyter Notebook - [A-Meta-Transfer-Objective-For-Learning-To-Disentangle-Causal-Mechanisms](https://github.com/authors-1901-10912/A-Meta-Transfer-Objective-For-Learning-To-Disentangle-Causal-Mechanisms) - Code for "A Meta Transfer Objective For Learning To Disentangle Causal Mechanisms" - [GDL_code](https://github.com/davidADSP/GDL_code) - The official code repository for examples in the O'Reilly book 'Generative Deep Learning' - [Biological_Learning](https://github.com/DimaKrotov/Biological_Learning) - Example of "biological" learning for MNIST - [mit-deep-learning](https://github.com/lexfridman/mit-deep-learning) - Tutorials, assignments, and competitions for MIT Deep Learning related courses. - [DL-workshop-series](https://github.com/Machine-Learning-Tokyo/DL-workshop-series) - Material used for Deep Learning related workshops for Machine Learning Tokyo (MLT) - [Research-Computer-Vision](https://github.com/harrisonjansma/Research-Computer-Vision) - Implementations of computer vision concepts. - [nn-learn](https://github.com/go2carter/nn-learn) - repo for learning neural nets and related material - [Generative-Adversarial-Network-Tutorial](https://github.com/uclaacmai/Generative-Adversarial-Network-Tutorial) - Tutorial on creating your own GAN in Tensorflow - [deep-learning-notes](https://github.com/kmkolasinski/deep-learning-notes) - Experiments with Deep Learning - [dopamine](https://github.com/google/dopamine) - Dopamine is a research framework for fast prototyping of reinforcement learning algorithms. - [KDD18-Gluon](https://github.com/szha/KDD18-Gluon) - KDD18 Tutorial: Deep Learning and Natural Language Processing with Apache MXNet (Incubating) Gluon - [Grokking-Deep-Learning](https://github.com/iamtrask/Grokking-Deep-Learning) - this repository accompanies the book "Grokking Deep Learning" - [pytorch-Deep-Learning-Minicourse](https://github.com/Atcold/pytorch-Deep-Learning-Minicourse) - Minicourse in Deep Learning with PyTorch - [artistic-style-transfer](https://github.com/hnarayanan/artistic-style-transfer) - Convolutional neural networks for artistic style transfer. - [Novel-Deep-Learning-Model-for-Traffic-Sign-Detection-Using-Capsule-Networks](https://github.com/dineshresearch/Novel-Deep-Learning-Model-for-Traffic-Sign-Detection-Using-Capsule-Networks) - capsule networks that achieves outstanding performance on the German traffic sign dataset - [probability](https://github.com/tensorflow/probability) - Probabilistic reasoning and statistical analysis in TensorFlow - [lstar_extraction](https://github.com/tech-srl/lstar_extraction) - implementation of ICML 2018 paper, Extracting Automata from Recurrent Neural Networks Using Queries and Counterexamples - [TernausNetV2](https://github.com/ternaus/TernausNetV2) - TernausNetV2: Fully Convolutional Network for Instance Segmentation - [tfwss](https://github.com/philferriere/tfwss) - Weakly Supervised Segmentation with Tensorflow. Implements instance segmentation as described in Simple Does It: Weakly Supervised Instance and Semantic Segmentation, by Khoreva et al. (CVPR 2017). - [deep_learning](https://github.com/jhui/deep_learning) - - [OSSDC-VisionBasedACC](https://github.com/OSSDC/OSSDC-VisionBasedACC) - Discuss requirments and develop code for #1-mvp-vbacc MVP (see also this channel on ossdc.org Slack) - [DeepRL-Agents](https://github.com/awjuliani/DeepRL-Agents) - A set of Deep Reinforcement Learning Agents implemented in Tensorflow. - [estool](https://github.com/hardmaru/estool) - Evolution Strategies Tool - [yrsnlp-2016](https://github.com/neubig/yrsnlp-2016) - Structured Neural Networks for NLP: From Idea to Code - [europilot](https://github.com/marsauto/europilot) - A toolkit for controlling Euro Truck Simulator 2 with python to develop self-driving algorithms. - [influence-release](https://github.com/kohpangwei/influence-release) - - [InferSent](https://github.com/facebookresearch/InferSent) - InferSent sentence embeddings - [edward](https://github.com/blei-lab/edward) - A probabilistic programming language in TensorFlow. Deep generative models, variational inference. - [wbc-classification](https://github.com/dhruvp/wbc-classification) - Classify