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Space Telescope Science Institute
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- https://jwuphysics.github.io
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🎓 Path to a free self-taught education in Computer Science!
f.k.a. Awesome ChatGPT Prompts. Share, discover, and collect prompts from the community. Free and open source — self-host for your organization with complete privacy.
Library for fast text representation and classification.
A beautiful, simple, clean, and responsive Jekyll theme for academics
Curated list of papers and resources focused on 3D Gaussian Splatting, intended to keep pace with the anticipated surge of research in the coming months.
Generate beautiful dark-themed system architecture diagrams as standalone HTML/SVG files. Works as a Claude AI skill.
System font stack CSS organized by typeface classification for every modern operating system
A simple program to simulate artificial life using attraction/reuplsion forces between many particles
Parallel Computing and Scientific Machine Learning (SciML): Methods and Applications (MIT 18.337J/6.338J)
Companion webpage for the book "Bayesian Optimization" by Roman Garnett
Visualization toolkit for neural networks in PyTorch! Demo -->
simple overview of python, numpy, scipy, matplotlib functions that are useful for scientific work
A repository to monitor attack vectors from state-backed information operations
[ICLR 2023] "More ConvNets in the 2020s: Scaling up Kernels Beyond 51x51 using Sparsity"; [ICML 2023] "Are Large Kernels Better Teachers than Transformers for ConvNets?"
A template for really easy blogging with GitHub Pages
All about the fundamentals and working of Diffusion Models
Code and UI for running a Magic card text generator API via GPT-2
Dynamic Kernel Matching (DKM) for Classifying Data with Non-conforming Features
Default set of Data Lab notebooks, by DL team and contributed by users
Example Distill article repository—clone, rename, start writing!
Efforts toward giving Qwen 3 Coder 30B A3B proper agentic tool calling capabilities at or near 100% reliability.
active learning + reusable workflows + likelihood free inference
Tutorials for creating figures, tables, or other content for AAS Journals.
Supplementary material for Cornell CVW on "Python for High Performance"
Gaussian process based implementation for galaxy star formation histories with custom kernels