mariolovric's Stars
soda-inria/survival-analysis-benchmark
Exploratory repository to study predictive survival analysis models
wjm41/molplotly
add-on to plotly which show molecule images on mouseover!
dario-passos/DeepLearning_for_VIS-NIR_Spectra
Deep Learning models applied to the analysis of VIS-NIR spectral data
milanzmitrovic/Python_Tutorial_2022
lschmiddey/Autoencoder
Autoencoder on tabular data
chemprop/chemprop
Message Passing Neural Networks for Molecule Property Prediction
aymericdamien/TensorFlow-Examples
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
rociomer/dl-chem-101
Example implementations of common machine learning projects in chemistry.
csinva/imodels
Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).
SelfExplainML/PiML-Toolbox
PiML (Python Interpretable Machine Learning) toolbox for model development & diagnostics
TheAlgorithms/Python
All Algorithms implemented in Python
eigenfoo/tests-as-linear
Python port of "Common statistical tests are linear models" by Jonas Kristoffer Lindeløv.
Mr-MeerMoazzam/Machine-Learning
Here you will find all the concepts related to Machine Learning.
kuelumbus/rdkit-pypi
⚛️ RDKit Python Wheels on PyPI. 💻 pip install rdkit
rdkit-rs/rdkit-sys
Rust crate for linking against the RDKit C++ API
greglandrum/rdkit-minimallib-build
czodrowskilab/5minfame
microsoft/ML-For-Beginners
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
BiomedSciAI/fuse-med-ml
A python framework accelerating ML based discovery in the medical field by encouraging code reuse. Batteries included :)
unit8co/darts
A python library for user-friendly forecasting and anomaly detection on time series.
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.
divelab/DIG
A library for graph deep learning research
jupyter-naas/awesome-notebooks
A powerful data & AI notebook templates catalog: prompts, plugins, models, workflow automation, analytics, code snippets - following the IMO framework to be searchable and reusable in any context.
ritchieng/the-incredible-pytorch
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.
danielecook/Awesome-Bioinformatics
A curated list of awesome Bioinformatics libraries and software.
cosconatilab/PyRMD
AI-powered Virtual Screening
PatWalters/chem_tutorial
greglandrum/RSC_OpenScience_Standardization_202104
Materials for my presentation on molecular standardization as part of the RSC OpenScience workshop series
LPDI-EPFL/masif
MaSIF- Molecular surface interaction fingerprints. Geometric deep learning to decipher patterns in molecular surfaces.
gordicaleksa/pytorch-original-transformer
My implementation of the original transformer model (Vaswani et al.). I've additionally included the playground.py file for visualizing otherwise seemingly hard concepts. Currently included IWSLT pretrained models.