SergeiDBykov

coding-interview-university

A complete computer science study plan to become a software engineer.

annotated_deep_learning_paper_implementations

🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

privateGPT

Interact with your documents using the power of GPT, 100% privately, no data leaks

shap

A game theoretic approach to explain the output of any machine learning model.

localGPT

Chat with your documents on your local device using GPT models. No data leaves your device and 100% private.

prophet

Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

neural-networks-and-deep-learning

Code samples for my book "Neural Networks and Deep Learning"

pandas-ai

Chat with your database (SQL, CSV, pandas, polars, mongodb, noSQL, etc). PandasAI makes data analysis conversational using LLMs (GPT 3.5 / 4, Anthropic, VertexAI) and RAG.

darts

A python library for user-friendly forecasting and anomaly detection on time series.

ml-interviews-book

https://huyenchip.com/ml-interviews-book/

sketch

AI code-writing assistant that understands data content

astroML

Machine learning, statistics, and data mining for astronomy and astrophysics

astroquery

Functions and classes to access online data resources. Maintainers: @keflavich and @bsipocz and @ceb8

gpubootcamp

This repository consists for gpu bootcamp material for HPC and AI

ml-in-cosmology

A comprehensive list of published machine learning applications to cosmology

iminuit

Jupyter-friendly Python interface for C++ MINUIT2

astronomy-to-data-science

resources for transitioning from academic astronomy to industry data science

nway

nway -- Bayesian cross-matching of astronomical catalogues

BXA

Bayesian X-ray analysis (nested sampling for Xspec and Sherpa)

scinum

Scientific numbers with multiple uncertainties, correlation-aware gaussian error propagation and numpy support.

ztf-viewer

ZTF data releases light curve viewer

50MGC

RainbowLasso

RainbowLasso compiles matched aperture fluxes from ultraviolet to infrared for all-sky surveys.

Hyper-parameter_optimization_for_Random_Forest

In this repository we optimize the random forest (RF) hyper-parameters for the dataset; DR16 cross-matched with the WISE catalogue. In this case, we trained the algorithms on about 80% of the dataset to find the best parameter settings for the algorithms to best estimate the photometric redshifts using the sk-learn RandomisedSearchCV. We used the "neg_mean_squared_error", "neg_median_absolute_deviation" and both "neg_mean_squared_error" and "neg_median_absolute_deviation" as a scoring metrics. The "neg_median_absolute_deviation" yields best results for this project.

kaggle-munich

the notebook for Kaggle Munich SHAP 101 talk

watchbot

Implementation of the watchbot, to control the behaviour of a LLM-based chatbot

planck_szcat

Planck U-Net and y-map SZ catalogs

ai_projects

AI related projects -- learning progress

praktikum