chingman313

chingman313's Stars

• Nixtla/nixtla

  TimeGPT-1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transformer for time series trained on over 100B data points. It's capable of accurately predicting various domains such as retail, electricity, finance, and IoT with just a few lines of code 🚀.

  Language:Jupyter Notebook1.9k152

• FinucaneLab/pops

  Language:Python599

• FinucaneLab/gene_features

  Language:R267

• Genomenon/mastermind-api-cookbook

  A collection of example scripts to query the Mastermind Genomic Search Engine API for valuable insight from published evidence.

  Language:Python53

• GiovannaNicora/MLVar

  Language:Jupyter Notebook173

• Illumina/SpliceAI

  A deep learning-based tool to identify splice variants

  Language:Python382156

• piyalkarum/rCNV

  An R package for detecting copy number variants from SNPs data

  Language:R51

• griffithlab/civic2clinvar

  extraction of CIViC variants into the clinvar submission format

  Language:Python11

• taichi-dev/taichi

  Productive, portable, and performant GPU programming in Python.

  Language:C++25k2.3k

• ollama/ollama

  Get up and running with Llama 3, Mistral, Gemma 2, and other large language models.

  Language:Go76.1k5.7k

• Rostlab/VESPA

  VESPA is a simple, yet powerful Single Amino Acid Variant (SAV) effect predictor based on embeddings of the Protein Language Model ProtT5.

  Language:Python285

• ciprian-chelba/1-billion-word-language-modeling-benchmark

  Formerly known as code.google.com/p/1-billion-word-language-modeling-benchmark

  Language:Perl440106

• agemagician/ProtTrans

  ProtTrans is providing state of the art pretrained language models for proteins. ProtTrans was trained on thousands of GPUs from Summit and hundreds of Google TPUs using Transformers Models.

  Language:Jupyter Notebook1k150

• dgidb/dgidb-v5

  Providing interactions between drugs and genes sourced from a variety of publications and knowledgebases

  Language:Ruby122

• frankligy/SNAF

  Splicing Neo Antigen Finder (SNAF) is an easy-to-use Python package to identify splicing-derived tumor neoantigens from RNA sequencing data, it further leverages both deep learning and hierarchical Bayesian models to prioritize certain candidates for experimental validation

  Language:Python347

• TeamSundar/TransDTI

  TransDTI: Transformer-based language models for estimating DTIs and building a drug-recommendation workflow

  Language:Jupyter Notebook124

• elttaes/Revisiting-PLMs

  Exploring Evolution-aware & free protein language models as protein function predictors

  Language:Python5610

• WangHuiNEU/llm

  The Roadmap for LLMs

  826

• ntranoslab/esm-variants

  Language:Jupyter Notebook5511

• facebookresearch/esm

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

  Language:Python3k585

• google/deepvariant

  DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA sequencing data.

  Language:Python3.1k702

• librairy/bio-ner

  Biomedical Named Entity Recognition and Normalization of Diseases, Chemicals and Genenetic entity classes through the use of state-of-the-art models.

  Language:Jupyter Notebook9022

• Orphanet/orphapacket

  51

• google-deepmind/alphafold

  Open source code for AlphaFold.

  Language:Python12.1k2.2k

• google-deepmind/alphamissense

  Language:Python47160

• MatthewWolff/NLP_Genomics

  Investigating Natural Language Processing from a genomic/metagenomic perspective

  Language:Python1

• michiyasunaga/LinkBERT

  [ACL 2022] LinkBERT: A Knowledgeable Language Model 😎 Pretrained with Document Links

  Language:Python40040

• OwlCarousel2/OwlCarousel2

  DEPRECATED jQuery Responsive Carousel.

  Language:JavaScript7.9k2.3k

• google-deepmind/code_contests

  Language:C++2k198

• ethereum/go-ethereum

  Go implementation of the Ethereum protocol

  Language:Go46.6k19.7k