Pytorch ByolPyTorch implementation of Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning
Stars: ✭ 213 (-14.46%)
Recsys core[电影推荐系统] Based on the movie scoring data set, the movie recommendation system is built with FM and LR as the core(基于爬取的电影评分数据集,构建以FM和LR为核心的电影推荐系统).
Stars: ✭ 245 (-1.61%)
DagmmMy attempt at reproducing the paper Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection
Stars: ✭ 231 (-7.23%)
TutmomTutorial on "Modern Optimization Methods in Python"
Stars: ✭ 214 (-14.06%)
PythonnumericaldemosWell-documented Python demonstrations for spatial data analytics, geostatistical and machine learning to support my courses.
Stars: ✭ 213 (-14.46%)
Neural Network From ScratchEver wondered how to code your Neural Network using NumPy, with no frameworks involved?
Stars: ✭ 230 (-7.63%)
Kekoxtutorial전 세계의 멋진 케라스 문서 및 튜토리얼을 한글화하여 케라스x코리아를 널리널리 이롭게합니다.
Stars: ✭ 213 (-14.46%)
Mixup GeneratorAn implementation of "mixup: Beyond Empirical Risk Minimization"
Stars: ✭ 250 (+0.4%)
PipelinedbHigh-performance time-series aggregation for PostgreSQL
Stars: ✭ 2,447 (+882.73%)
Hamiltonian NnCode for our paper "Hamiltonian Neural Networks"
Stars: ✭ 229 (-8.03%)
Skiftscikit-learn wrappers for Python fastText.
Stars: ✭ 213 (-14.46%)
SquadBuilding QA system for Stanford Question Answering Dataset
Stars: ✭ 213 (-14.46%)
Quantiacs PythonPython version of Quantiacs toolbox and sample trading strategies
Stars: ✭ 230 (-7.63%)
Drn cvpr2020Code and Dataset for CVPR2020 "Dynamic Refinement Network for Oriented and Densely Packed Object Detection"
Stars: ✭ 212 (-14.86%)
FusenetDeep fusion project of deeply-fused nets, and the study on the connection to ensembling
Stars: ✭ 230 (-7.63%)
DeepconvlstmDeep learning framework for wearable activity recognition based on convolutional and LSTM recurretn layers
Stars: ✭ 211 (-15.26%)
Dl tutorialTutorials for deep learning
Stars: ✭ 247 (-0.8%)
MldlMachine Learning and Deep Learning Resources
Stars: ✭ 211 (-15.26%)
MydatascienceportfolioApplying Data Science and Machine Learning to Solve Real World Business Problems
Stars: ✭ 227 (-8.84%)
Coloring T SneExploration of methods for coloring t-SNE.
Stars: ✭ 211 (-15.26%)
Pytorch Sentiment AnalysisTutorials on getting started with PyTorch and TorchText for sentiment analysis.
Stars: ✭ 3,209 (+1188.76%)
Sc17SuperComputing 2017 Deep Learning Tutorial
Stars: ✭ 211 (-15.26%)
Algforopt NotebooksJupyter notebooks associated with the Algorithms for Optimization textbook
Stars: ✭ 210 (-15.66%)
ConceptualsearchTrain a Word2Vec model or LSA model, and Implement Conceptual Search\Semantic Search in Solr\Lucene - Simon Hughes Dice.com, Dice Tech Jobs
Stars: ✭ 245 (-1.61%)
AcademyRay tutorials from Anyscale
Stars: ✭ 210 (-15.66%)
Applied Reinforcement LearningReinforcement Learning and Decision Making tutorials explained at an intuitive level and with Jupyter Notebooks
Stars: ✭ 229 (-8.03%)
Intro Numerical MethodsJupyter notebooks and other materials developed for the Columbia course APMA 4300
Stars: ✭ 210 (-15.66%)
Stat Nlp BookInteractive Lecture Notes, Slides and Exercises for Statistical NLP
Stars: ✭ 240 (-3.61%)
Predicting winning teamsThis is the code for "Predicting the Winning Team with Machine Learning" by Siraj Raval on Youtube
Stars: ✭ 229 (-8.03%)
Stanford Cs231Resources for students in the Udacity's Machine Learning Engineer Nanodegree to work through Stanford's Convolutional Neural Networks for Visual Recognition course (CS231n).
Stars: ✭ 249 (+0%)
Exerciseexercise for nndl
Stars: ✭ 2,649 (+963.86%)
Dsnd term1Contains files related to content and project of DSND
Stars: ✭ 229 (-8.03%)
Malaya Natural Language Toolkit for bahasa Malaysia, https://malaya.readthedocs.io/
Stars: ✭ 239 (-4.02%)
Question GenerationGenerating multiple choice questions from text using Machine Learning.
Stars: ✭ 227 (-8.84%)
Zhihu知乎看山杯 第二名 解决方案
Stars: ✭ 245 (-1.61%)
Sohu competitionSohu's 2018 content recognition competition 1st solution(搜狐内容识别大赛第一名解决方案)
Stars: ✭ 224 (-10.04%)
YoutubeliGithub repo to upload demo files of youtube videos and linkedin
Stars: ✭ 234 (-6.02%)
SfaScalable Time Series Data Analytics
Stars: ✭ 222 (-10.84%)
DragonnA toolkit to learn how to model and interpret regulatory sequence data using deep learning.
Stars: ✭ 222 (-10.84%)
Emnlp 2019 PapersStatistics and Accepted paper list with arXiv link of EMNLP-IJCNLP 2019
Stars: ✭ 236 (-5.22%)
SkyliftWi-Fi Geolocation Spoofing with the ESP8266
Stars: ✭ 223 (-10.44%)
JazzmlA (very incomplete) project that combines machine learning with music.
Stars: ✭ 235 (-5.62%)