WhirlFirst's Stars
anthropics/anthropic-sdk-python
zhentingqi/rStar
snap-stanford/BioDiscoveryAgent
BioDiscoveryAgent is an LLM-based AI agent for closed-loop design of genetic perturbation experiments
cmhimself/QueST
A novel subgraph representation learning model for solving the spatial niche querying problem.
BrendanGraham14/mcts-llm
Genentech/iterative-perturb-seq
Sequential Optimal Experimental Design of Perturbation Screens Guided by Multimodal Priors
vllm-project/vllm
A high-throughput and memory-efficient inference and serving engine for LLMs
facebookresearch/xformers
Hackable and optimized Transformers building blocks, supporting a composable construction.
facebookresearch/sam2
The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
acmesh-official/acme.sh
A pure Unix shell script implementing ACME client protocol
rapidsai/cudf
cuDF - GPU DataFrame Library
LAION-AI/CLIP_benchmark
CLIP-like model evaluation
Justherozen/FreeAL
[EMNLP 2023] FreeAL: Towards Human-Free Active Learning in the Era of Large Language Models
mahmoodlab/HEST
HEST: Bringing Spatial Transcriptomics and Histopathology together - NeurIPS 2024
OmicsML/dance
DANCE: a deep learning library and benchmark platform for single-cell analysis
EperLuo/scDiffusion
A model developed for the generation of scRNA-seq data
SHI-Labs/Smooth-Diffusion
Smooth Diffusion: Crafting Smooth Latent Spaces in Diffusion Models arXiv 2023 / CVPR 2024
theislab/single-cell-transformer-papers
WhirlFirst/somde
Algorithm for finding gene spatial pattern based on Gaussian process accelerated by SOM
WhirlFirst/STEM
A Method for Mapping Single-cell and Spatial Transcriptomics Data with Transfer Learning
labmlai/annotated_deep_learning_paper_implementations
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
OmicsML/awesome-foundation-model-single-cell-papers
guott15/SPIRAL
hiyin/scopeplus
Scope+: An open source generalizable architecture for single-cell atlases at sample and cell levels
itrewub/jh-notes
mims-harvard/GNNDelete
General Strategy for Unlearning in Graph Neural Networks
joonspk-research/generative_agents
Generative Agents: Interactive Simulacra of Human Behavior
qiuyu96/CoDeF
[CVPR 2024 Highlight] Official PyTorch implementation of CoDeF: Content Deformation Fields for Temporally Consistent Video Processing
biomap-research/scFoundation
chansigit/hitl-single-cell
Human-in-the-loop Single-cell Analysis