robinleoknauth's Stars
eugeneyan/applied-ml
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
vipl0ve/product-management-guide
A Comprehensive Guide for Product Management
piskvorky/bounter
Efficient Counter that uses a limited (bounded) amount of memory regardless of data size.
jantic/DeOldify
A Deep Learning based project for colorizing and restoring old images (and video!)
apple/turicreate
Turi Create simplifies the development of custom machine learning models.
GokuMohandas/mlops-course
Learn how to design, develop, deploy and iterate on production-grade ML applications.
tqdm/tqdm
:zap: A Fast, Extensible Progress Bar for Python and CLI
EthicalML/awesome-production-machine-learning
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
huggingface/datasets
🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools
fastai/fastbook
The fastai book, published as Jupyter Notebooks
practical-nlp/practical-nlp-code
Official Repository for Code associated with 'Practical Natural Language Processing' book by O'Reilly Media
numeristical/introspective
Repo for the ML_Insights python package
GokuMohandas/Made-With-ML
Learn how to design, develop, deploy and iterate on production-grade ML applications.
CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
Foley-CJ/Tree_Plot
example notebook for plotting a decision tree on databricks.
graykode/nlp-roadmap
ROADMAP(Mind Map) and KEYWORD for students those who have interest in learning NLP
shap/shap
A game theoretic approach to explain the output of any machine learning model.
rkingery/ml_tutorials
Applied Machine Learning Tutorials
vlgiitr/DL_Topics
List of DL topics and resources essential for cracking interviews
piesauce/CharacterLevelLanguageModel
piesauce/style-transfer-text
Pointer networks for translating between Shakespearean and Modern English
piesauce/CharCNN-TextClassification
Character level Convolution Neural Networks implemented in Keras
piesauce/privacy_hidden_representations
Privacy preserving ML for NLP tasks
explosion/projects
🪐 End-to-end NLP workflows from prototype to production
bev-a-tron/MyFlaskTutorial
A Flask Tutorial for people who don't know any web programming. Actually, it would be helpful to know static HTML, also Python.
chambliss/fast_library_search
CLI tool for searching your digital library
cdeweyx/DS-Career-Resources
Compilation of resources for aspiring data scientists
jayinai/data-science-question-answer
A repo for data science related questions and answers
datasciencescoop/Data-Science--Cheat-Sheet
Cheat Sheets
donnemartin/data-science-ipython-notebooks
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.