Awesome Ai Ml DlAwesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it. Study notes and a curated list of awesome resources of such topics.
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Pconv KerasUnofficial implementation of "Image Inpainting for Irregular Holes Using Partial Convolutions". Try at: www.fixmyphoto.ai
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All4nlpAll For NLP, especially Chinese.
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ArtlineA Deep Learning based project for creating line art portraits.
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Ml MiptOpen Machine Learning course at MIPT
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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.
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Dat8General Assembly's 2015 Data Science course in Washington, DC
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ImodelsInterpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).
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Question GenerationGenerating multiple choice questions from text using Machine Learning.
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LearnopencvLearn OpenCV : C++ and Python Examples
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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/
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FinancepyA Python Finance Library that focuses on the pricing and risk-management of Financial Derivatives, including fixed-income, equity, FX and credit derivatives.
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Gans In ActionCompanion repository to GANs in Action: Deep learning with Generative Adversarial Networks
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TensorwatchDebugging, monitoring and visualization for Python Machine Learning and Data Science
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CourseSlides and Jupyter notebooks
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Vitechtuyển chọn các tài liệu về công nghệ bằng tiếng Việt
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Practical dlDL course co-developed by YSDA, HSE and Skoltech
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Atari Model ZooA binary release of trained deep reinforcement learning models trained in the Atari machine learning benchmark, and a software release that enables easy visualization and analysis of models, and comparison across training algorithms.
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Deeplearning.ai Note网易云课堂终于官方发布了吴恩达经过授权的汉化课程-“”深度学习专项课程“”,这是自己做的一些笔记以及代码。下为网易云学习链接
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NlpaugData augmentation for NLP
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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
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SuperviselyAI for everyone! 🎉 Neural networks, tools and a library we use in Supervisely
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Tensor HouseA collection of reference machine learning and optimization models for enterprise operations: marketing, pricing, supply chain
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Basic Mathematics For Machine LearningThe motive behind Creating this repo is to feel the fear of mathematics and do what ever you want to do in Machine Learning , Deep Learning and other fields of AI
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Food 101 KerasFood Classification with Deep Learning in Keras / Tensorflow
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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!
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Basic reinforcement learningAn introductory series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.
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AulasAulas da Escola de Inteligência Artificial de São Paulo
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Awesome Ai BooksSome awesome AI related books and pdfs for learning and downloading, also apply some playground models for learning
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Teacher Student TrainingThis repository stores the files used for my summer internship's work on "teacher-student learning", an experimental method for training deep neural networks using a trained teacher model.
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Ai DoctorMachine learning discord bot , Detects diseases within seconds with just an xray scan
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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。
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Ppd599USC urban data science course series with Python and Jupyter
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Pragmaticai[Book-2019] Pragmatic AI: An Introduction to Cloud-based Machine Learning
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Course julia dayNotes for getting to know the Julia programming language in one day.
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DopamineDopamine is a research framework for fast prototyping of reinforcement learning algorithms.
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ObjectronObjectron is a dataset of short, object-centric video clips. In addition, the videos also contain AR session metadata including camera poses, sparse point-clouds and planes. In each video, the camera moves around and above the object and captures it from different views. Each object is annotated with a 3D bounding box. The 3D bounding box describes the object’s position, orientation, and dimensions. The dataset contains about 15K annotated video clips and 4M annotated images in the following categories: bikes, books, bottles, cameras, cereal boxes, chairs, cups, laptops, and shoes
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WorkshopsWorkshops organized to introduce students to security, AI, AR/VR, hardware and software
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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.
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Deep Dream In PytorchPytorch implementation of the DeepDream computer vision algorithm
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Teach Me Quantum⚛ 10 week Practical Course on Quantum Information Science and Quantum Computing - with Qiskit and IBMQX
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Image classifierCNN image classifier implemented in Keras Notebook 🖼️.
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