TCX13's Stars
berenslab/medical-t-simcne
This repository contains the codes to train a t-SimCNE model. This model has been shown to produce good representations on natural and medical images.
devv-ai/devv
An AI-powered search engine for developers.
libffcv/ffcv
FFCV: Fast Forward Computer Vision (and other ML workloads!)
tsb0601/EMP-SSL
This repository contains the implementation for the paper "EMP-SSL: Towards Self-Supervised Learning in One Training Epoch."
berenslab/t-simcne
Unsupervised visualization of image datasets using contrastive learning
vturrisi/solo-learn
solo-learn: a library of self-supervised methods for visual representation learning powered by Pytorch Lightning
networkx/networkx
Network Analysis in Python
bhargavchippada/forceatlas2
Fastest Gephi's ForceAtlas2 graph layout algorithm implemented for Python and NetworkX
chanzuckerberg/cellxgene
An interactive explorer for single-cell transcriptomics data
hua1995116/react-resume-site
木及简历,一款markdown的在线简历工具。 https://www.mujicv.com
MatsuriDayo/nekoray
Qt based cross-platform GUI proxy configuration manager (backend: sing-box)
AndrewAtanov/simclr-pytorch
PyTorch implementation of SimCLR: supports multi-GPU training and closely reproduces results
sthalles/SimCLR
PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations
PathologyFoundation/plip
Pathology Language and Image Pre-Training (PLIP) is the first vision and language foundation model for Pathology AI (Nature Medicine). PLIP is a large-scale pre-trained model that can be used to extract visual and language features from pathology images and text description. The model is a fine-tuned version of the original CLIP model.
openai/CLIP
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
kingToolbox/WindTerm
A professional cross-platform SSH/Sftp/Shell/Telnet/Serial terminal.
huggingface/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
MD-Anderson-Bioinformatics/BatchEffectsPackage
The MBatch R package and Docker image are designed to help assess and correct for batch effects.
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, ... 🧠
kaixindelele/ChatPaper
Use ChatGPT to summarize the arXiv papers. 全流程加速科研,利用chatgpt进行论文全文总结+专业翻译+润色+审稿+审稿回复
OmicsML/awesome-deep-learning-single-cell-papers
wepe/MachineLearning
Basic Machine Learning and Deep Learning
google-research/simclr
SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners
sciai-lab/cl-tsne-umap
epigenelabs/inmoose
InMoose is the INtegrated Multi Omic Open Source Environment. It is a collection of tools for the analysis of omic data.
epigenelabs/pyComBat
pyComBat is a Python 3 implementation of ComBat, one of the most widely used tool for correcting technical biases, called batch effects, in microarray expression data.
zhangyuqing/ComBat-seq
Batch effect adjustment based on negative binomial regression for RNA sequencing count data
satijalab/seurat
R toolkit for single cell genomics
scverse/scanpy
Single-cell analysis in Python. Scales to >1M cells.
lyswhut/lx-music-desktop
一个基于 electron 的音乐软件