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86 search results found
Deepnlp Models Pytorch
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2,372
Pytorch implementations of various Deep NLP models in cs-224n(Stanford Univ)
Machine Learning
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2,260
머신러닝 입문자 혹은 스터디를 준비하시는 분들에게 도움이 되고자 만든 repository입니다. (This repository is intented for helping whom are interested in machine learning study)
Cs224u
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2,007
Code for Stanford CS224u
Coco Caption
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635
Cs231
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571
My corrections for the Standford class assingments CS231n - Convolutional Neural Networks for Visual Recognition
Cs231n 2017
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524
Completed the CS231n 2017 spring assignments from Stanford university
Cs131_release
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422
Released assignments for the Stanford's CS131 course on Computer Vision.
Ufldl Tutorial
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382
Deep Learning and Unsupervised Feature Learning Tutorial Solutions
Coursera Stanford Ml Python
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365
Coursera/Stanford Machine Learning course assignments in python
Cs231
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276
Complete Assignments for CS231n: Convolutional Neural Networks for Visual Recognition
Machine Learning Notebooks
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258
Stanford Machine Learning course exercises implemented with scikit-learn
Stanford Cs231
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229
Resources for students in the Udacity's Machine Learning Engineer Nanodegree to work through Stanford's Convolutional Neural Networks for Visual Recognition course (CS231n).
Squad
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184
Building QA system for Stanford Question Answering Dataset
Machinelearning_ng
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163
吴恩达机器学习coursera课程,学习代码(2017年秋) The Stanford Coursera course on MachineLearning with Andrew Ng
Stanford_cs231n_2019
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147
Solutions and comments to assignments for 2019 Stanford's course on convolutional neural networks
Bayareadlschool
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116
Slides and exercises for the Theano tutorial at the Deep Learning School in Stanford, September 24-25, 2016
Dogbreed_gluon
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115
kaggle Dog Breed Identification
Cs229 Python
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114
Exercises and solutions to Stanford CS229 Machine Learning in Python
Cs231n Convolutional Neural Networks Solutions
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110
Assignment solutions for the CS231n course taught by Stanford on visual recognition. Spring 2017 solutions are for both deep learning frameworks: TensorFlow and PyTorch.
Cs231n 2019 Assignments
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108
Solution to CS231n Assignments 2019
Nlp Cheat Sheet Python
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98
NLP Cheat Sheet, Python, spacy, LexNPL, NLTK, tokenization, stemming, sentence detection, named entity recognition
Machine Learning
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92
My Attempt(s) In The World Of ML/DL....
Cdss
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88
Clinical decision support system by HealthRex laboratory at Stanford University.
Deep Learning Deliberate Practice
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79
Deliberate Practice for Learning Deep Learning
Cs231n
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75
stanford cs231n 2016 assignment
Reef
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71
Automatically labeling training data
Ml Coursera
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67
This repository contains all the programming exercises in Python for the Coursera course called "Machine Learning" by Adjunct Professor Andrew Ng at Stanford University.
Aerial_pedestrian_detection
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65
Machine_learning
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62
Tutorials/tips on machine learning related topics
Machine Learning
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60
Awesome list (courses, books, videos etc.) and implementation of Machine Learning Algorithms
Dlcl204
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40
Digital Humanities Across Borders
Coco Caption
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39
Adds SPICE metric to coco-caption evaluation server codes
Cvx101 Hw With Python
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39
Home work in python using cvxpy to Stephen Boyd's Convex Optimization class (CVX101 Stanford)
Athene_system
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38
Chexpert Entries
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36
Notebooks and scripts for making submissions to the CheXpert Competition
Stanford Cs161
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34
Unofficial repo for Design and Analysis of Algorithms, Stanford University, Fall 2017.
Stanford Cs231n Assignments 2020
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32
This repository contains my solutions to the assignments for Stanford's CS231n "Convolutional Neural Networks for Visual Recognition" (Spring 2020).
Stanford Cars
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31
Learning computer vision by striving to maximise accuracy on the Stanford Cars dataset
Starmap
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25
Software for processing and analyzing STARmap experiments.
Cs231n 2019
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24
Notes and assignment solution to http://cs231n.stanford.edu
Independent_study
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23
Independent Study @ Harvard GSD
Dogbreeds
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22
Dog Breed Classification Stanford Dog Dataset
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21
An example of using CNN for classification of dogs
Citation Function
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18
Measuring the Evolution of a Scientific Field through Citation Frames
Stanford Cs231n Assignments
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18
The assignments of CS231n finished by me
2015talk Deeplearn Cnn
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17
A short hands-on of CNN using Stanford CS231n online material
Cars
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16
An attempt at the Stanford Cars dataset (https://ai.stanford.edu/~jkrause/cars/car_dataset Largely taken from foamliu's code (https://github.com/foamliu/Car-Recognition) modified to require less pre-processing, less memory, and be more user friendly.
Deep Learning Notes
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15
Deep Learning Coursera Specialization • Lecture Notes • Lab Assignments
Grad Cam Text
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15
Implementation of Grad-CAM for text.
Bootcamp
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15
Annual computing Boot Camp for new (and other) KIPAC members
Dynamic Coattention Network For Squad
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15
Tensorflow implementation of DCN for question answering on the Stanford Question Answering Dataset (SQuAD)
Seq2struct
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12
Opencourse
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11
OpenCourse assignments and projects
Jupyter_notebooks
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11
Jupyter notebooks for testing concepts
Cs231
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10
My solutions to Stanford's CS231n: Convolutional Neural Networks for Visual Recognition
Stanford Cars Classification
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10
Stanford Cars Classification using keras and fastai
Cmu_67300
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10
This is the repository for the CMU course 67-300: Search Engines
Pos Tag Workshop
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10
Understanding of POS tags and build a POS tagger from scratch
Machine Learning Lecture Notes
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9
Lecture notes and codes for machine learning
Clneg
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9
Clinical Text Summarization with Syntax-Based Negation and Semantic Concept Identification
Stanford Music 364
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9
Guest lecture for Music 364, CCRMA, Stanford University, with Blair Kaneshiro.
Cs231n
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8
Basic operation implementation
Image Inventory Reconciliation With Svm And Cnn
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7
Response to Amazon's Bin Image Data Set Challenge. Inventory reconciliation with machine learning: SVMs and CNNs. Research at Stanford University, by: Pablo Rodriguez Bertorello, Sravan Sripada, and Nutchapol Dendumrongsup
Hyperquest
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7
Mimic HyperQuest from Stanford University, CS231n
Kaggle Dogbreed Gluon
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7
Kaggle competition——Dog Breed Identification
Aiforsea Cv Cars
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7
Fine-Grained Visual Classification on Stanford Cars Dataset
Named Entity Recognition
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7
This is a project in python to extract named entities from the given text corpus. You can use this project directly on your text corpus (changing path in config file) to train the model and score it on new corpus.
Cs231n
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7
Stanford cs231n (HKUST COMP4901J Fall 2018 Deep Learning in Computer Vision) Assignment Repository
Kdd2016
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7
Notebook Code following NLP talk at KDD 2016
Stanford Cars Dataset Vehicle Recognition
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6
Both custom built and state-of-the-art (ResNet34 and Xception) CNN deep learning architectures are analyzed. Class engineering, learning rate/weight decay tuning and one-cycle policy are implemented.
Machine Learning Coursera Stanford
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6
Machine Learning adventure in python
Cs231n Solutions
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6
Solutions for CS231n course from Stanford University: Convolutional Neural Networks for Visual Recognition
Stanford Cs269q
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6
Stanford CS 269Q: Quantum Computer Programming
Dataquest
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6
The git repo for every AI and python enthusiast
Twitterstudiescode
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6
Cs231n Assignments Spring19
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6
My personal solutions to the CS231n assignments (Spring 2019). CS231n: "CNN" is a Computer Vision class taught at Stanford.
Cs221 Ai Project
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5
Stanford CS221 Artificial Intelligence Project
Stanford Progj 2021
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5
Course site for Programming in Journalism (COMM 177P/277P), Winter 2021
Chinese_stylometry
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5
This repository contains various Jupyter notebooks pertaining to the use of stylometric analysis for Chinese literature. These notebooks were originally created for my DHAsia workshop at Stanford in February 2016.
Cs231n
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5
Stanford University-CS231n: Convolutional Neural Networks for Visual Recognition
Mindreader
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5
Vizwiz Captions
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5
VizWiz Project @ https://vizwiz.org
Stanfordhacks
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5
Stanford Hacks building detection, ...
Stanford Cs224n
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5
Exercise answers to the problem sets from CS224n: Natural Language Processing with Deep Learning Winter quarter (January - March, 2017)
Cs224n
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5
Implementation of concepts from Stanford's CS224n NLP with Deep Learning
Stanford Dogs Classification
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5
This Repo includes code (written in python ) for Stanford dogs data set classification . I have used PyTorch library for this purpose.
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