SergeiDBykov

AstroCLIP

Multimodal contrastive pretraining for astronomical data

manyTDE

Collection of optically-selected TDEs, with black hole mass measurements from their late-time plateau luminosity

LSTM_predict_merger_history

Jason's toy model for predicting halo mass from merger tree in TNG100

SupContrast

PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)

diffusion-models-astrophysical-fields-mlps

Code base for "Can denoising diffusion probabilistic models generate realistic astrophysical fields?"

astroPT

Transformer for galaxy images (and general astronomy)

halo_painting

Predicts 3D halo distributions from dark matter simulations using a physically motivated Wasserstein mapping network

llama3-from-scratch

llama3 implementation one matrix multiplication at a time

data-compression-inference-in-cosmology-with-SSL

Cosmological Data Compression and Inference with Self-Supervised Machine Learning

DeepHalos

Deep learning dark matter halo formation

gendiff

A Python package to generate a diff between two nested structures.

udlbook

Understanding Deep Learning - Simon J.D. Prince

Advanced-Lane-Detection

Project: Advanced Lane Finding || Udacity: Self-Driving Car Engineer Nanodegree

ero-lh-class

SRG/eROSITA Lockman Hole source classification, accompanies the paper "SRG/eROSITA Survey in the Lockman Hole: Classification of X-ray Sources", published in Astronomy Letters.

iminuit

Jupyter-friendly Python interface for C++ MINUIT2

50MGC

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, ... 🧠

ai_projects

AI related projects -- learning progress

ztf-viewer

ZTF data releases light curve viewer

sketch

AI code-writing assistant that understands data content

watchbot

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

localGPT

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

ml-in-cosmology

A comprehensive list of published machine learning applications to cosmology

private-gpt

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

kaggle-munich

the notebook for Kaggle Munich SHAP 101 talk

RainbowLasso

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

planck_szcat

Planck U-Net and y-map SZ catalogs

darts

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

prophet

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

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.