June
Papers
- CodeTF: One-stop Transformer Library for State-of-the-art Code LLM
- Automated methods for cell type annotation on scRNA-seq data
- scmap: projection of single-cell RNA-seq data across data sets
- scPred: accurate supervised method for cell-type classification from single-cell RNA-seq data
- SCSA: a cell type annotation tool for single-cell RNA-seq data
- scCATCH: Automatic Annotation on Cell Types of Clusters from Single-Cell RNA Sequencing Data
- GLaM: Efficient Scaling of Language Models with Mixture-of-Experts
- Supervised classification enables rapid annotation of cell atlases (Garnett)
- scMatch: a single-cell gene expression profile annotation tool using reference datasets
- ACTINN: automated identification of cell types in single cell RNA sequencing
- SuperCT: a supervised-learning framework for enhanced characterization of single-cell transcriptomic profiles
- A comparison of automatic cell identification methods for single-cell RNA sequencing data
Links
- https://www.alignmentforum.org/posts/k43v47eQjaj6fY7LE/solving-the-mechanistic-interpretability-challenges-eis-vii-1 Solving the Mechanistic Interpretability challenges: EIS VII Challenge 2
- https://www.alignmentforum.org/posts/KSHqLzQscwJnv44T8/eis-vii-a-challenge-for-mechanists EIS VII: A Challenge for Mechanists
- https://www.alignmentforum.org/s/a6ne2ve5uturEEQK7 The Engineer’s Interpretability Sequence
- https://gaultier.github.io/blog/x11_x64.html Learn x86-64 assembly by writing a GUI from scratch
- https://github.com/0xen/PICO-GB-CART Project for using the Raspberry Pi Pico within a gamebot cartridge
- http://www.paulgraham.com/ace.html Billionairers Build - Paul Graham
- https://justine.lol/sorting/ Understanding DeepMind's Sorting Algorithm
- https://opensource.googleblog.com/2022/06/Vectorized%20and%20performance%20portable%20Quicksort.html Vectorized and performance-portable Quicksort
- https://hbctraining.github.io/DGE_workshop/lessons/02_DGE_count_normalization.html Introduction to differential gene expression
- https://pair-code.github.io/understanding-umap/ Understanding UMAP
- https://www.neelnanda.io/mechanistic-interpretability/getting-started Concrete Steps to Get Started in Transformer Mechanistic Interpretability
- https://www.lesswrong.com/posts/CzZ6Fch4JSpwCpu6C/interpretability Interpretability Starting Guide - LessWrong
- https://distill.pub/2020/circuits/curve-circuits/ Curve Circuits