Practical rlA course in reinforcement learning in the wild
Stars: ✭ 4,741 (+371.27%)
Deep Learning PythonIntro to Deep Learning, including recurrent, convolution, and feed forward neural networks.
Stars: ✭ 94 (-90.66%)
PsganPeriodic Spatial Generative Adversarial Networks
Stars: ✭ 108 (-89.26%)
Course Computational Literary AnalysisCourse materials for Introduction to Computational Literary Analysis, taught at UC Berkeley in Summer 2018, 2019, and 2020, and at Columbia University in Fall 2020.
Stars: ✭ 74 (-92.64%)
Ppd599USC urban data science course series with Python and Jupyter
Stars: ✭ 1,062 (+5.57%)
Ml19 20aCS 771A: Introduction to Machine Learning, IIT Kanpur, 2019-20-autumn offering
Stars: ✭ 115 (-88.57%)
AiopenAIOpen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。
Stars: ✭ 62 (-93.84%)
Mlatimperial2017Materials for the course of machine learning at Imperial College organized by Yandex SDA
Stars: ✭ 71 (-92.94%)
Ganotebookswgan, wgan2(improved, gp), infogan, and dcgan implementation in lasagne, keras, pytorch
Stars: ✭ 1,446 (+43.74%)
Deeplearning2020course materials for introduction to deep learning 2020
Stars: ✭ 90 (-91.05%)
LessonmaterialsOpen Sourced Curriculum and Lessons for an Introductory AI/ML Course
Stars: ✭ 142 (-85.88%)
NeuralnetsDeep Learning libraries tested on images and time series
Stars: ✭ 163 (-83.8%)
Dat8General Assembly's 2015 Data Science course in Washington, DC
Stars: ✭ 1,516 (+50.7%)
reinforcement learning course materialsLecture notes, tutorial tasks including solutions as well as online videos for the reinforcement learning course hosted by Paderborn University
Stars: ✭ 765 (-23.96%)
kubernetes-hy.github.ioCourse material for the DevOps with Kubernetes free MOOC by the University of Helsinki
Stars: ✭ 57 (-94.33%)
codappsA course to learn how to code a mobile app - for complete beginners
Stars: ✭ 14 (-98.61%)
r4excel usersБесплатный видео курс "Язык R для пользователей Excel"
Stars: ✭ 14 (-98.61%)
AgentnetDeep Reinforcement Learning library for humans
Stars: ✭ 298 (-70.38%)
Docker Hy.github.ioDevOps with Docker course by the University of Helsinki, Course material
Stars: ✭ 41 (-95.92%)
Storytelling With DataCourse materials for Dartmouth Course: Storytelling with Data (PSYC 81.09).
Stars: ✭ 59 (-94.14%)
DrawReimplementation of DRAW
Stars: ✭ 346 (-65.61%)
Ml MiptOpen Machine Learning course at MIPT
Stars: ✭ 480 (-52.29%)
YannThis toolbox is support material for the book on CNN (http://www.convolution.network).
Stars: ✭ 41 (-95.92%)
Course julia dayNotes for getting to know the Julia programming language in one day.
Stars: ✭ 23 (-97.71%)
Deep Learning VmSets up a VM with Keras, TensorFlow, TFLearn and Theano installed
Stars: ✭ 23 (-97.71%)
Teach Me Quantum⚛ 10 week Practical Course on Quantum Information Science and Quantum Computing - with Qiskit and IBMQX
Stars: ✭ 118 (-88.27%)
human-memoryCourse materials for Dartmouth course: Human Memory (PSYC 51.09)
Stars: ✭ 239 (-76.24%)
rnn benchmarksRNN benchmarks of pytorch, tensorflow and theano
Stars: ✭ 85 (-91.55%)
Scala CourseScala for Statistical Computing and Data Science Short Course
Stars: ✭ 118 (-88.27%)
intro-to-pythonAn Introduction to Programming in Python
Stars: ✭ 57 (-94.33%)
SymJAXDocumentation:
Stars: ✭ 103 (-89.76%)
LearningThe data is the future of oil, digging the potential value of the data is very meaningful. This library records my road of machine learning study.
Stars: ✭ 330 (-67.2%)
MlcourseMachine learning course materials.
Stars: ✭ 388 (-61.43%)
Machine Learning Book《机器学习宝典》包含:谷歌机器学习速成课程(招式)+机器学习术语表(口诀)+机器学习规则(心得)+机器学习中的常识性问题 (内功)。该资源适用于机器学习、深度学习研究人员和爱好者参考!
Stars: ✭ 616 (-38.77%)
deep vision and graphicsCourse about deep learning for computer vision and graphics co-developed by YSDA and Skoltech.
Stars: ✭ 89 (-91.15%)
2016learnpythonPython Teaching, Seminars for 2nd year students of School of Linguistics NRU HSE
Stars: ✭ 32 (-96.82%)
Machine Learning Curriculum💻 Make machines learn so that you don't have to struggle to program them; The ultimate list
Stars: ✭ 761 (-24.35%)
Alphazero gomokuAn implementation of the AlphaZero algorithm for Gomoku (also called Gobang or Five in a Row)
Stars: ✭ 2,570 (+155.47%)
CvessentialsTutorial Series (60 hour course): Essentials of computer vision
Stars: ✭ 111 (-88.97%)
DeepoSetup and customize deep learning environment in seconds.
Stars: ✭ 6,145 (+510.83%)
CourseSlides and Jupyter notebooks
Stars: ✭ 29 (-97.12%)
Iris PythonCollection of iris classifcation program for teaching purpose
Stars: ✭ 33 (-96.72%)