jalew188

jalew188's Stars

• run-llama/llama_index

  LlamaIndex is a data framework for your LLM applications

  Language:Python35.4k2475.1k5k

• pola-rs/polars

  Dataframes powered by a multithreaded, vectorized query engine, written in Rust

  Language:Rust29.2k1618.6k1.8k

• openai/CLIP

  CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

  Language:Jupyter Notebook24.7k3223923.2k

• pybind/pybind11

  Seamless operability between C++11 and Python

  Language:C++15.4k2442.1k2.1k

• huggingface/candle

  Minimalist ML framework for Rust

  Language:Rust15.1k151668879

• apache/arrow

  Apache Arrow is a multi-language toolbox for accelerated data interchange and in-memory processing

  Language:C++14.3k34825.5k3.5k

• dask/dask

  Parallel computing with task scheduling

  Language:Python12.4k2125.2k1.7k

• ttroy50/cmake-examples

  Useful CMake Examples

  Language:CMake12.3k185432.5k

• xmake-io/xmake

  🔥 A cross-platform build utility based on Lua

  Language:Lua9.8k1413.2k774

• Cyan4973/xxHash

  Extremely fast non-cryptographic hash algorithm

  Language:C8.9k172376768

• arogozhnikov/einops

  Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)

  Language:Python8.4k68173347

• facebookresearch/esm

  Evolutionary Scale Modeling (esm): Pretrained language models for proteins

  Language:Python3.1k65320616

• aqlaboratory/openfold

  Trainable, memory-efficient, and GPU-friendly PyTorch reproduction of AlphaFold 2

  Language:Python2.7k46343510

• TylerYep/torchinfo

  View model summaries in PyTorch!

  Language:Python2.5k18156118

• hosseinmoein/DataFrame

  C++ DataFrame for statistical, Financial, and ML analysis -- in modern C++ using native types and contiguous memory storage

  Language:C++2.4k70215307

• yu-takagi/StableDiffusionReconstruction

  Takagi and Nishimoto, CVPR 2023

  Language:Jupyter Notebook1.1k89059

• y-256/libdivsufsort

  A lightweight suffix-sorting library

  Language:C361312281

• lazear/sage

  Proteomics search & quantification so fast that it feels like magic

  Language:Rust209139739

• Noble-Lab/casanovo

  De Novo Mass Spectrometry Peptide Sequencing with a Transformer Model

  Language:Python102721235

• MannLabs/alphamap

  An open-source Python package for the visual annotation of proteomics data with sequence specific knowledge.

  Language:Jupyter Notebook7492918

• kevinkovalchik/RawTools

  RawTools is an open-source and freely available package designed to perform scan data parsing and quantification, and quality control analysis of Thermo Orbitrap raw mass spectrometer files from data-dependent acquisition experiments.

  Language:C#6468020

• MannLabs/alphapeptstats

  Python Package for the downstream analysis of mass-spectrometry-based proteomics data

  Language:Jupyter Notebook5663012

• Apollo3zehn/PureHDF

  A pure .NET library that makes reading and writing of HDF5 files (groups, datasets, attributes, ...) very easy.

  Language:C#48211618

• MannLabs/directlfq

  Fast and accurate label-free quantification for small and very large numbers of proteomes

  Language:Jupyter Notebook374254

• lkytal/PepNet

  The state of the art Deep CNN neural network for de novo sequencing of tandem mass spectra

  Language:Python284810

• MannLabs/PeptDeep-HLA

  DL model to predict HLA peptide presentation

  Language:Jupyter Notebook13326

• pFindStudio/pChem

  A modification-centric assessment tool for performance of chemoproteomic probes

  Language:Python5300

• ctarn/PepPre.jl

  Promote peptide identification using accurate and comprehensive precursors. https://doi.org/10.1021/acs.jproteome.3c00293

  Language:Julia4120

• expellir-arma/pGlycoQuant

  Here, we report pGlycoQuant, a generic software tool for accurate and convenient quantitative intact glycopeptide analysis, supporting both primary and tandem mass spectrometry quantitation for multiple quantitative strategies. pGlycoQuant enables intact glycopeptide quantitation with minuscule missing value via a deep residual network and includes a quantitative bioinformatics analysis module. At present, pFind, pGlyco, Byonic and MSFragger software glycosylation identification results can be used for quantification by pGlycoQuant.

  3

• elena-krismer/GraphGPT

  Extrapolating knowledge graphs from unstructured text using GPT-3 🕵️‍♂️

  Language:JavaScript1000