amirfeizi's Stars
ollama/ollama
Get up and running with Llama 3.3, Mistral, Gemma 2, and other large language models.
langchain-ai/langchain
🦜🔗 Build context-aware reasoning applications
dair-ai/Prompt-Engineering-Guide
🐙 Guides, papers, lecture, notebooks and resources for prompt engineering
run-llama/llama_index
LlamaIndex is a data framework for your LLM applications
microsoft/graphrag
A modular graph-based Retrieval-Augmented Generation (RAG) system
williamfiset/Algorithms
A collection of algorithms and data structures
artidoro/qlora
QLoRA: Efficient Finetuning of Quantized LLMs
facebookresearch/hydra
Hydra is a framework for elegantly configuring complex applications
docker/genai-stack
Langchain + Docker + Neo4j + Ollama
lancedb/lance
Modern columnar data format for ML and LLMs implemented in Rust. Convert from parquet in 2 lines of code for 100x faster random access, vector index, and data versioning. Compatible with Pandas, DuckDB, Polars, Pyarrow, and PyTorch with more integrations coming..
pykeen/pykeen
🤖 A Python library for learning and evaluating knowledge graph embeddings
DeepGraphLearning/KnowledgeGraphEmbedding
scverse/scvi-tools
Deep probabilistic analysis of single-cell and spatial omics data
mitchelloharawild/vitae
R Markdown Résumés and CVs
pachterlab/gget
🧬 gget enables efficient querying of genomic reference databases
pchunduri6/rag-demystified
An LLM-powered advanced RAG pipeline built from scratch
titipata/pubmed_parser
:clipboard: A Python Parser for PubMed Open-Access XML Subset and MEDLINE XML Dataset
junxia97/awesome-pretrain-on-molecules
[IJCAI 2023 survey track]A curated list of resources for chemical pre-trained models
MannLabs/CKG
Clinical Knowledge Graph (CKG) is a platform with twofold objective: 1) build a graph database with experimental data and data imported from diverse biomedical databases 2) automate knowledge discovery making use of all the information contained in the graph
CompEpigen/figeno
Tool for plotting sequencing data along genomic coordinates.
Genentech/gReLU
gReLU is a python library to train, interpret, and apply deep learning models to DNA sequences.
Google-Health/records-research
mahmoodlab/HEST
HEST: Bringing Spatial Transcriptomics and Histopathology together - NeurIPS 2024 (Spotlight)
gustaveroussy/sopa
Technology-invariant pipeline for spatial omics analysis that scales to millions of cells (Xenium / Visium HD / MERSCOPE / CosMx / PhenoCycler / MACSima / etc)
datadotworld/cwd-benchmark-data
Data for the Chat With Your Data benchmark.
stephenturner/biorecap
Retrieve and summarize bioRxiv preprints with a local LLM using ollama
tidyomics/tidyomics
Easily install and load packages from the tidyomcis ecosystem
atgu/ukbb_pan_ancestry
Analyses conducting GWAS across the UKBB diverse superpopulations
opentargets/gentropy
Open Targets python framework for post-GWAS analysis
amirfeizi/otargen
This is an R package to retrieve data from Open Target Genetics