DynamicsA Compositional Object-Based Approach to Learning Physical Dynamics
Stars: ✭ 159 (-39.31%)
Olivia💁♀️Your new best friend powered by an artificial neural network
Stars: ✭ 3,114 (+1088.55%)
StripsAI Automated Planning with STRIPS and PDDL in Node.js
Stars: ✭ 272 (+3.82%)
Catalyst🚀 Catalyst is a C# Natural Language Processing library built for speed. Inspired by spaCy's design, it brings pre-trained models, out-of-the box support for training word and document embeddings, and flexible entity recognition models.
Stars: ✭ 224 (-14.5%)
Lda Topic ModelingA PureScript, browser-based implementation of LDA topic modeling.
Stars: ✭ 91 (-65.27%)
Spacy💫 Industrial-strength Natural Language Processing (NLP) in Python
Stars: ✭ 21,978 (+8288.55%)
Cocoaai🤖 The Cocoa Artificial Intelligence Lab
Stars: ✭ 134 (-48.85%)
NlpaugData augmentation for NLP
Stars: ✭ 2,761 (+953.82%)
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 (-37.02%)
Thinc🔮 A refreshing functional take on deep learning, compatible with your favorite libraries
Stars: ✭ 2,422 (+824.43%)
Riceteacatpandarepo with challenge material for riceteacatpanda (2020)
Stars: ✭ 18 (-93.13%)
Mycroft CoreMycroft Core, the Mycroft Artificial Intelligence platform.
Stars: ✭ 5,489 (+1995.04%)
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.
Stars: ✭ 831 (+217.18%)
MlA high-level machine learning and deep learning library for the PHP language.
Stars: ✭ 1,270 (+384.73%)
Image classifierCNN image classifier implemented in Keras Notebook 🖼️.
Stars: ✭ 139 (-46.95%)
LazyLazy, AI chatbot service.
Stars: ✭ 141 (-46.18%)
Awesome Quantum Machine LearningHere you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web
Stars: ✭ 1,940 (+640.46%)
FakenewscorpusA dataset of millions of news articles scraped from a curated list of data sources.
Stars: ✭ 255 (-2.67%)
Rivescript PythonA RiveScript interpreter for Python. RiveScript is a scripting language for chatterbots.
Stars: ✭ 142 (-45.8%)
ArticutapiAPI of Articut 中文斷詞 (兼具語意詞性標記):「斷詞」又稱「分詞」,是中文資訊處理的基礎。Articut 不用機器學習,不需資料模型,只用現代白話中文語法規則,即能達到 SIGHAN 2005 F1-measure 94% 以上,Recall 96% 以上的成績。
Stars: ✭ 252 (-3.82%)
kwxBERT, LDA, and TFIDF based keyword extraction in Python
Stars: ✭ 33 (-87.4%)
Best ai paper 2020A curated list of the latest breakthroughs in AI by release date with a clear video explanation, link to a more in-depth article, and code
Stars: ✭ 2,140 (+716.79%)
AirsimOpen source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research
Stars: ✭ 12,528 (+4681.68%)
LazynlpLibrary to scrape and clean web pages to create massive datasets.
Stars: ✭ 1,985 (+657.63%)
AtariAI research environment for the Atari 2600 games 🤖.
Stars: ✭ 174 (-33.59%)
Awesome Nlp ResourcesThis repository contains landmark research papers in Natural Language Processing that came out in this century.
Stars: ✭ 145 (-44.66%)
CurvatureA full-featured editor for working with Utility-based AI
Stars: ✭ 163 (-37.79%)
NcrfppNCRF++, a Neural Sequence Labeling Toolkit. Easy use to any sequence labeling tasks (e.g. NER, POS, Segmentation). It includes character LSTM/CNN, word LSTM/CNN and softmax/CRF components.
Stars: ✭ 1,767 (+574.43%)
Zamia AiFree and open source A.I. system based on Python, TensorFlow and Prolog.
Stars: ✭ 133 (-49.24%)
AtlasAn Open Source, Self-Hosted Platform For Applied Deep Learning Development
Stars: ✭ 259 (-1.15%)
pydataberlin-2017Repo for my talk at the PyData Berlin 2017 conference
Stars: ✭ 63 (-75.95%)
QbQANTA Quiz Bowl AI
Stars: ✭ 153 (-41.6%)
Floyd CliCommand line tool for FloydHub - the fastest way to build, train, and deploy deep learning models
Stars: ✭ 147 (-43.89%)
PaiResource scheduling and cluster management for AI
Stars: ✭ 2,223 (+748.47%)
ImodelsInterpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).
Stars: ✭ 194 (-25.95%)
Pytorch LightningThe lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.
Stars: ✭ 16,641 (+6251.53%)
Pyss3A Python package implementing a new machine learning model for text classification with visualization tools for Explainable AI
Stars: ✭ 191 (-27.1%)
Free Ai Resources🚀 FREE AI Resources - 🎓 Courses, 👷 Jobs, 📝 Blogs, 🔬 AI Research, and many more - for everyone!
Stars: ✭ 192 (-26.72%)
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.
Stars: ✭ 198 (-24.43%)
Aidl kbA Knowledge Base for the FB Group Artificial Intelligence and Deep Learning (AIDL)
Stars: ✭ 219 (-16.41%)
Prodigy Recipes🍳 Recipes for the Prodigy, our fully scriptable annotation tool
Stars: ✭ 229 (-12.6%)
ClassifaiEnhance your WordPress content with Artificial Intelligence and Machine Learning services.
Stars: ✭ 188 (-28.24%)
Aind NlpCoding exercises for the Natural Language Processing concentration, part of Udacity's AIND program.
Stars: ✭ 202 (-22.9%)
EvostraA fast Evolution Strategy implementation in Python
Stars: ✭ 227 (-13.36%)
Voice GenderGender recognition by voice and speech analysis
Stars: ✭ 248 (-5.34%)
hldaGibbs sampler for the Hierarchical Latent Dirichlet Allocation topic model
Stars: ✭ 138 (-47.33%)
tomoto-rubyHigh performance topic modeling for Ruby
Stars: ✭ 49 (-81.3%)
PyLDAA Latent Dirichlet Allocation implementation in Python.
Stars: ✭ 51 (-80.53%)
lda2vecMixing Dirichlet Topic Models and Word Embeddings to Make lda2vec from this paper https://arxiv.org/abs/1605.02019
Stars: ✭ 27 (-89.69%)
TopicsExplorerExplore your own text collection with a topic model – without prior knowledge.
Stars: ✭ 53 (-79.77%)
amazon-reviewsSentiment Analysis & Topic Modeling with Amazon Reviews
Stars: ✭ 26 (-90.08%)