wu-yc's Stars
xtekky/gpt4free
The official gpt4free repository | various collection of powerful language models
sunner/ChatALL
Concurrently chat with ChatGPT, Bing Chat, Bard, Alpaca, Vicuna, Claude, ChatGLM, MOSS, 讯飞星火, 文心一言 and more, discover the best answers
OpenLMLab/MOSS
An open-source tool-augmented conversational language model from Fudan University
Mooler0410/LLMsPracticalGuide
A curated list of practical guide resources of LLMs (LLMs Tree, Examples, Papers)
ai-collection/ai-collection
The Generative AI Landscape - A Collection of Awesome Generative AI Applications
varunshenoy/GraphGPT
Extrapolating knowledge graphs from unstructured text using GPT-3 🕵️♂️
microsoft/BioGPT
lamini-ai/lamini
rlancemartin/auto-evaluator
Evaluation tool for LLM QA chains
MichelNivard/gptstudio
GPT RStudio addins that enable GPT assisted coding, writing & analysis
emmethalm/infiniteGPT
InfiniteGPT is a Python script that lets you input an unlimited size text into the OpenAI API. No more tedious copy & pasting. Long live multithreading!
OmicsML/awesome-deep-learning-single-cell-papers
xuhangc/ChatGPT-Academic-Prompt
Use ChatGPT for academic writing
MarioniLab/miloR
R package implementation of Milo for testing for differential abundance in KNN graphs
genecell/single-cell-papers-with-code
Papers with code for single cell related papers
junjunlab/ClusterGVis
One-step to Cluster and Visualize Gene Expression Matrix
saezlab/decoupleR
R package to infer biological activities from omics data using a collection of methods.
Murali-group/Beeline
BEELINE: evaluation of algorithms for gene regulatory network inference
yiqunchen/GenePT
dpeerlab/spectra
Supervised Pathway DEConvolution of InTerpretable Gene ProgRAms
stemangiola/sccomp
Testing differences in cell type proportions from single-cell data.
pachterlab/voyager
From geospatial to spatial -omics
tidymodels/spatialsample
Create and summarize spatial resampling objects 🗺
tjhwangxiong/TCGAplot
A number of functions were generated to perform pan-cancer DEG analysis, correlation analysis between gene expression and TMB, MSI, TIME, and promoter methylation. Methods for visualization were provided in order to easily perform integrative pan-cancer multi-omics analysis.
TangFei965/pan-NK
These are scripts for pan-cacner NK cells analyses.
GreenleafLab/motifmatchr
Fast motif matching in R
Wei-BioMath/NeuronChat
czythu/scCancer
scCancer2: data-driven in-depth annotations of the tumor microenvironment at single-level resolution
olapuentesantana/easier_manuscript
schwartzlab-methods/too-many-cells-interactive
Interactive TooManyCells Trees