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Implementation of Stable Diffusion with PyTorch
Python tools for querying and manipulating BIDS datasets.
Video+code lecture on building nanoGPT from scratch
Curated list of data science interview questions and answers
SELFormer: Molecular Representation Learning via SELFIES Language Models
Biological foundation modeling from molecular to genome scale
Figure sizes, font sizes, fonts, and more configurations at minimal overhead. Fix your journal papers, conference proceedings, and other scientific publications.
Open-source scientific and technical publishing system built on Pandoc.
Hierarchical Generation of Molecular Graphs using Structural Motifs
Benchmarking framework for protein representation learning. Includes a large number of pre-training and downstream task datasets, models and training/task utilities. (ICLR 2024)
List of papers about Proteins Design using Deep Learning
Complex-based Ligand-Binding Proteins Redesign by Equivariant Diffusion-based Generative Models
Causal Discovery in Python. It also includes (conditional) independence tests and score functions.
A minimal implementation of diffusion models for text generation
A minimal PyTorch implementation of probabilistic diffusion models for 2D datasets.
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
An annotated implementation of the Transformer paper.
Official repo for "Mini-Gemini: Mining the Potential of Multi-modality Vision Language Models"
Listing of papers about machine learning for proteins.
A simple closed-loop BCI simulator for testing real-time neural decoding algorithms
18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
An unofficial LaTeX template for masters thesis and PhD dissertation at Johns Hopkins University.