Jaroslaw Nowosad's Projects
All Algorithms implemented in Rust
Benchmarking other apps
Application tracing
Our robot to vacuum stuff ;-)
Apache Arrow Ballista Distributed Query Engine
Provide an input CSV and a target field to predict, generate a model + code to run it.
A curated and opinionated list of resources for Chief Technology Officers, with the emphasis on startups
A topic-centric list of HQ open datasets.
A community driven list of useful Scala libraries, frameworks and software.
TensorFlow - A curated list of dedicated resources http://tensorflow.org
A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.).
Testing C/C++ as python modules
Source code and dataset for paper "Cognitive Knowledge Graph Reasoning for One-shot Relational Learning"
Materials for "How to Win a Data Science Competition: Learn from Top Kagglers" course
Source code for experiments in the papers "Complex Embeddings for Simple Link Prediction" (ICML 2016) and "Knowledge Graph Completion via Complex Tensor Factorization" (JMLR 2017).
Fastest library to load data from DB to DataFrames in Rust and Python
Core Wars Red - new version of Core Wars...
Implemented the Kalman Filter Algorithms on GPU using CUDA programming language. Analysed the run-time performance gain obtained by parallel computation of the various stages of the algorithm.Speed up of 1000x is observed for large input sets.
Curated list of Python resources for data science.
Scala with jooq
H2O Machine Learning
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Hands-on Deep Reinforcement Learning, published by Packt
Deep Learning Examples
Reproduce DeFi hacked incidents using Foundry.
Development/programming tips/ tricks/ libraries info...