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20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
A 4-hour coding workshop to understand how LLMs are implemented and used
[CCS'24] A dataset consists of 15,140 ChatGPT prompts from Reddit, Discord, websites, and open-source datasets (including 1,405 jailbreak prompts).
Cutadapt removes adapter sequences from sequencing reads
Styled Terminal Markdown Viewer
A collection of familiar, friendly, and modern emoji from Microsoft
Collection of awesome LLM apps with AI Agents and RAG using OpenAI, Anthropic, Gemini and opensource models.
Interpret text data using LLMs (scikit-learn compatible).
Tool for plotting sequencing data along genomic coordinates.
đź“ś A minimal whiteboard for sketching, annotating and prototyping
The minimal and themeable CSS toolkit for flat and clean designs
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
JSorolla is a JavaScript Library for biological and genomic data visualization. Found a bug or have an idea for a new feature? Let us know at https://zettagenomics.com/academic/
An Open Computational Genomics Analysis platform for big data genomics analysis. OpenCGA is maintained and develop by its parent company Zetta Genomics. Found a bug or have an idea for a new featur…
C++ API & command-line toolkit for working with BAM data
Adapted session for a one-day training
Code to dump out any Python object to text in a way that aids debugging / useful logging.
R scripts to plot Venn diagrams for 2,3,4-way Venn from counts
Official source for spanish Language Models and resources made @ BSC-TEMU within the "Plan de las TecnologĂas del Lenguaje" (Plan-TL).
Pysam is a Python package for reading, manipulating, and writing genomics data such as SAM/BAM/CRAM and VCF/BCF files. It's a lightweight wrapper of the HTSlib API, the same one that powers samtool…
ECCB2020 tutorial: Using Deep Learning For Image and Sequence Analysis