pszjmb1's Stars
jhipster/generator-jhipster
JHipster is a development platform to quickly generate, develop, & deploy modern web applications & microservice architectures.
trekhleb/javascript-algorithms
📝 Algorithms and data structures implemented in JavaScript with explanations and links to further readings
kamranahmedse/developer-roadmap
Interactive roadmaps, guides and other educational content to help developers grow in their careers.
jlevy/the-art-of-command-line
Master the command line, in one page
github/gitignore
A collection of useful .gitignore templates
codecrafters-io/build-your-own-x
Master programming by recreating your favorite technologies from scratch.
ageron/handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
minimaxir/ctrl-gce
Set up the CTRL text-generating model on Google Compute Engine with just a few console commands.
minimaxir/textgenrnn
Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines of code.
minimaxir/gpt-2-simple
Python package to easily retrain OpenAI's GPT-2 text-generating model on new texts
latitudegames/AIDungeon
Infinite adventures await!
public-apis/public-apis
A collective list of free APIs
luanfujun/deep-painterly-harmonization
Code and data for paper "Deep Painterly Harmonization": https://arxiv.org/abs/1804.03189
lauris/awesome-scala
A community driven list of useful Scala libraries, frameworks and software.
metrofun/machine-learning-surveys
A curated list of Machine Learning Surveys, Tutorials and Books.
kailashahirwar/cheatsheets-ai
Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essential-cheat-sheets-for-machine-learning-and-deep-learning-researchers-efb6a8ebd2e5
spark-notebook/spark-notebook
Interactive and Reactive Data Science using Scala and Spark.
rushter/MLAlgorithms
Minimal and clean examples of machine learning algorithms implementations
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.
datasciencemasters/go
The Open Source Data Science Masters
chaconnewu/free-data-science-books
Free resources for learning data science
rushter/data-science-blogs
A curated list of data science blogs
jonathan-bower/DataScienceResources
Open Source Data Science Resources.
rouseguy/intro2stats
Introduction to Statistics using Python
zer0n/deepframeworks
Evaluation of Deep Learning Frameworks
vinta/awesome-python
An opinionated list of awesome Python frameworks, libraries, software and resources.
ujjwalkarn/Machine-Learning-Tutorials
machine learning and deep learning tutorials, articles and other resources
ujjwalkarn/DataSciencePython
common data analysis and machine learning tasks using python
tmadl/sklearn-expertsys
Highly interpretable classifiers for scikit learn, producing easily understood decision rules instead of black box models
dmlc/xgboost
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow