Expand 👇 or visit this page to see my public repos and repos contributed to.
Projects List
- bcell - A framework for linear B-cell epitope prediction and classification. (ECML PKDD 2023)
- deep-vaccine - Predict multi-epitope vaccine subunit candidates using NLP.
- master-thesis - The code for my master's degree project.
- py-cdhit - A Python package for CD-HIT, clustering protein or nucleotide sequences.
- auto-sphinx-page-action - GitHub action that creates website using Sphinx.
- phasty - A Python interface for PHAST (phylogenetic analysis with space/time models).
- config-argument-parser - A package to help automatically create command-line interface from configuration or code.
- vae-mixin-pytorch - Variational autoencoders as mixins.
- complex_systems - A Python package for studying complex systems.
- 2048-ai-tk - 2048 AI in Python with GUI.
- genome_analysis - Genome analysis labs.
- config-argument-parser-docs - Docs of config-argument-parser.
- repositories-list - A list of my public repos.
- n-body - N-body simulation with quadtree, OpenMP parallelized.
- docker-flask-redis-celery - Docker Compose template for web application.
Contributions
- scikit-learn/scikit-learn - scikit-learn: machine learning in Python
- pandas-dev/pandas - Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
- scipy/scipy - SciPy library main repository
- matplotlib/matplotlib - matplotlib: plotting with Python
- numpy/numpy - The fundamental package for scientific computing with Python.
- pytorch/pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration
- pyg-team/pytorch_geometric - Graph Neural Network Library for PyTorch
- huggingface/transformers - 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
- shap/shap - A game theoretic approach to explain the output of any machine learning model.
- probml/pyprobml - Python code for "Probabilistic Machine learning" book by Kevin Murphy
- scverse/scanpy - Single-cell analysis in Python. Scales to >1M cells.