TensorwatchDebugging, monitoring and visualization for Python Machine Learning and Data Science
Stars: ✭ 3,191 (+610.69%)
CoursesQuiz & Assignment of Coursera
Stars: ✭ 454 (+1.11%)
Machine Learning From ScratchSuccinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-means clustering, Sentiment Analysis, Recommender Systems, Neural Networks and Reinforcement Learning.
Stars: ✭ 42 (-90.65%)
CourseraQuiz & Assignment of Coursera
Stars: ✭ 774 (+72.38%)
Basic reinforcement learningAn introductory series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.
Stars: ✭ 826 (+83.96%)
Awesome Ai BooksSome awesome AI related books and pdfs for learning and downloading, also apply some playground models for learning
Stars: ✭ 855 (+90.42%)
FixyAmacımız Türkçe NLP literatüründeki birçok farklı sorunu bir arada çözebilen, eşsiz yaklaşımlar öne süren ve literatürdeki çalışmaların eksiklerini gideren open source bir yazım destekleyicisi/denetleyicisi oluşturmak. Kullanıcıların yazdıkları metinlerdeki yazım yanlışlarını derin öğrenme yaklaşımıyla çözüp aynı zamanda metinlerde anlamsal analizi de gerçekleştirerek bu bağlamda ortaya çıkan yanlışları da fark edip düzeltebilmek.
Stars: ✭ 165 (-63.25%)
ModelsDLTK Model Zoo
Stars: ✭ 101 (-77.51%)
AulasAulas da Escola de Inteligência Artificial de São Paulo
Stars: ✭ 166 (-63.03%)
DatasciencevmTools and Docs on the Azure Data Science Virtual Machine (http://aka.ms/dsvm)
Stars: ✭ 153 (-65.92%)
Free Ai Resources🚀 FREE AI Resources - 🎓 Courses, 👷 Jobs, 📝 Blogs, 🔬 AI Research, and many more - for everyone!
Stars: ✭ 192 (-57.24%)
NlpaugData augmentation for NLP
Stars: ✭ 2,761 (+514.92%)
Andrew Ng NotesThis is Andrew NG Coursera Handwritten Notes.
Stars: ✭ 180 (-59.91%)
ImodelsInterpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).
Stars: ✭ 194 (-56.79%)
PolyaxonMachine Learning Platform for Kubernetes (MLOps tools for experimentation and automation)
Stars: ✭ 2,966 (+560.58%)
CartolaExtração de dados da API do CartolaFC, análise exploratória dos dados e modelos preditivos em R e Python - 2014-20. [EN] Data munging, analysis and modeling of CartolaFC - the most popular fantasy football game in Brazil and maybe in the world. Data cover years 2014-19.
Stars: ✭ 304 (-32.29%)
GdrlGrokking Deep Reinforcement Learning
Stars: ✭ 304 (-32.29%)
A3c tradingTrading with recurrent actor-critic reinforcement learning
Stars: ✭ 305 (-32.07%)
EvidentlyInteractive reports to analyze machine learning models during validation or production monitoring.
Stars: ✭ 304 (-32.29%)
Apricotapricot implements submodular optimization for the purpose of selecting subsets of massive data sets to train machine learning models quickly. See the documentation page: https://apricot-select.readthedocs.io/en/latest/index.html
Stars: ✭ 306 (-31.85%)
ProbabilityProbabilistic reasoning and statistical analysis in TensorFlow
Stars: ✭ 3,550 (+690.65%)
Reinforcement learning tutorial with demoReinforcement Learning Tutorial with Demo: DP (Policy and Value Iteration), Monte Carlo, TD Learning (SARSA, QLearning), Function Approximation, Policy Gradient, DQN, Imitation, Meta Learning, Papers, Courses, etc..
Stars: ✭ 442 (-1.56%)
Food Recipe Cnnfood image to recipe with deep convolutional neural networks.
Stars: ✭ 448 (-0.22%)
Python Ml CourseCurso de Introducción a Machine Learning con Python
Stars: ✭ 442 (-1.56%)
Python SeminarPython for Data Science (Seminar Course at UC Berkeley; AY 250)
Stars: ✭ 302 (-32.74%)
Reinforcement LearningLearn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning
Stars: ✭ 3,329 (+641.43%)
Pydataroadopen source for wechat-official-account (ID: PyDataLab)
Stars: ✭ 302 (-32.74%)
SuperviselyAI for everyone! 🎉 Neural networks, tools and a library we use in Supervisely
Stars: ✭ 332 (-26.06%)
ArtificioDeep Learning Computer Vision Algorithms for Real-World Use
Stars: ✭ 326 (-27.39%)
Metaflow🚀 Build and manage real-life data science projects with ease!
Stars: ✭ 5,108 (+1037.64%)
ModelsA collection of pre-trained, state-of-the-art models in the ONNX format
Stars: ✭ 4,226 (+841.2%)
Csinva.github.ioSlides, paper notes, class notes, blog posts, and research on ML 📉, statistics 📊, and AI 🤖.
Stars: ✭ 342 (-23.83%)
DeltapyDeltaPy - Tabular Data Augmentation (by @firmai)
Stars: ✭ 344 (-23.39%)
ThesemicolonThis repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.
Stars: ✭ 345 (-23.16%)
GenrlA PyTorch reinforcement learning library for generalizable and reproducible algorithm implementations with an aim to improve accessibility in RL
Stars: ✭ 356 (-20.71%)
Scikit Learn VideosJupyter notebooks from the scikit-learn video series
Stars: ✭ 3,254 (+624.72%)
TrpoTrust Region Policy Optimization with TensorFlow and OpenAI Gym
Stars: ✭ 343 (-23.61%)
Meta RlImplementation of Meta-RL A3C algorithm
Stars: ✭ 355 (-20.94%)
Lagomlagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.
Stars: ✭ 364 (-18.93%)
QtraderReinforcement Learning for Portfolio Management
Stars: ✭ 363 (-19.15%)
ArticlesA repository for the source code, notebooks, data, files, and other assets used in the data science and machine learning articles on LearnDataSci
Stars: ✭ 350 (-22.05%)
Data ScienceCollection of useful data science topics along with code and articles
Stars: ✭ 315 (-29.84%)
Machinelearning Deeplearning Nlp Leetcode Statisticallearningmethod Tensorflow最近在学习机器学习,深度学习,自然语言处理,统计学习方法等知识,理论学习主要根据readme的链接,在学习理论的同时,决定自己将学习的相关算法用Python实现一遍,并结合GitHub上相关大牛的代码进行改进,本项目会不断的更新相关算法,欢迎star,fork和关注。 主要包括: 1.吴恩达Andrew Ng老师的机器学习课程作业个人笔记 Python实现, 2.deeplearning.ai(吴恩达老师的深度学习课程笔记及资源) Python实现, 3.李航《统计学习方法》 Python代码实现, 4.自然语言处理NLP 牛津大学xDeepMind Python代码实现, 5.LeetCode刷题,题析,分析心得笔记 Java和Python代码实现, 6.TensorFlow人工智能实践代码笔记 北京大学曹健老师课程和TensorFlow:实战Google深度学习框架(第二版) Python代码实现, 附带一些个人心得和笔记。GitHub上有很多机器学习课程的代码资源,我也准备自己实现一下,后续会更新笔记,代码和百度云网盘链接。 这个项目主要是学习算法的,并且会不断更新相关资源和代码,欢迎关注,star,fork! Min's blog 欢迎访问我的博客主页! (Welcome to my blog website !)https://liweimin1996.github.io/
Stars: ✭ 359 (-20.04%)
D2l PytorchThis project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.
Stars: ✭ 3,810 (+748.55%)
Production Data ScienceProduction Data Science: a workflow for collaborative data science aimed at production
Stars: ✭ 388 (-13.59%)
Open source demosA collection of demos showcasing automated feature engineering and machine learning in diverse use cases
Stars: ✭ 391 (-12.92%)
Stats Maths With PythonGeneral statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python
Stars: ✭ 381 (-15.14%)