Deeplearning.ai该存储库包含由deeplearning.ai提供的相关课程的个人的笔记和实现代码。
Stars: ✭ 181 (-68.74%)
Andrew Ng NotesThis is Andrew NG Coursera Handwritten Notes.
Stars: ✭ 180 (-68.91%)
Awesome Google ColabGoogle Colaboratory Notebooks and Repositories (by @firmai)
Stars: ✭ 863 (+49.05%)
Coursera SpecializationsSolutions to assignments of Coursera Specializations - Deep learning, Machine learning, Algorithms & Data Structures, Image Processing and Python For Everybody
Stars: ✭ 72 (-87.56%)
Coursera reinforcement learningCoursera Reinforcement Learning Specialization by University of Alberta & Alberta Machine Intelligence Institute
Stars: ✭ 114 (-80.31%)
CourseraQuiz & Assignment of Coursera
Stars: ✭ 774 (+33.68%)
CoursesQuiz & Assignment of Coursera
Stars: ✭ 454 (-21.59%)
Machinelearning ng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
Stars: ✭ 181 (-68.74%)
Coursera Deep Learning SpecializationNotes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models
Stars: ✭ 188 (-67.53%)
Data Science PortfolioPortfolio of data science projects completed by me for academic, self learning, and hobby purposes.
Stars: ✭ 559 (-3.45%)
TutorialsCatBoost tutorials repository
Stars: ✭ 563 (-2.76%)
Qs ledgerQuantified Self Personal Data Aggregator and Data Analysis
Stars: ✭ 559 (-3.45%)
Gs QuantPython toolkit for quantitative finance
Stars: ✭ 556 (-3.97%)
Bert scoreBERT score for text generation
Stars: ✭ 568 (-1.9%)
Log Progresshttps://habr.com/ru/post/276725/
Stars: ✭ 556 (-3.97%)
Tf DannDomain-Adversarial Neural Network in Tensorflow
Stars: ✭ 556 (-3.97%)
Python For Data AnalysisAn introduction to data science using Python and Pandas with Jupyter notebooks
Stars: ✭ 564 (-2.59%)
Torch Residual NetworksThis is a Torch implementation of ["Deep Residual Learning for Image Recognition",Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun](http://arxiv.org/abs/1512.03385) the winners of the 2015 ILSVRC and COCO challenges.
Stars: ✭ 553 (-4.49%)
Ada BuildThe Ada Developers Academy Jump Start program, which is intended for anyone who is interested in beginning their journey into coding.
Stars: ✭ 551 (-4.84%)
ReinforceReinforcement Learning Algorithm Package & PuckWorld, GridWorld Gym environments
Stars: ✭ 552 (-4.66%)
TturTwo time-scale update rule for training GANs
Stars: ✭ 567 (-2.07%)
Competitive Data ScienceMaterials for "How to Win a Data Science Competition: Learn from Top Kagglers" course
Stars: ✭ 551 (-4.84%)
Curve Text DetectorThis repository provides train&test code, dataset, det.&rec. annotation, evaluation script, annotation tool, and ranking.
Stars: ✭ 551 (-4.84%)
Go Profiler Notesfelixge's notes on the various go profiling methods that are available.
Stars: ✭ 525 (-9.33%)
Functional ZooPyTorch and Tensorflow functional model definitions
Stars: ✭ 577 (-0.35%)
Deeplearning.aiSome work of Andrew Ng's course on Coursera
Stars: ✭ 572 (-1.21%)
DetectorchDetectorch - detectron for PyTorch
Stars: ✭ 566 (-2.25%)
Neural CollageCollaging on Internal Representations: An Intuitive Approach for Semantic Transfiguration
Stars: ✭ 549 (-5.18%)