zj-zhang

zj-zhang's Stars

• 3b1b/manim

  Animation engine for explanatory math videos

  Language:Python73.8k9111.2k6.4k

• Textualize/rich

  Rich is a Python library for rich text and beautiful formatting in the terminal.

  Language:Python50.2k5381.4k1.8k

• mli/paper-reading

  深度学习经典、新论文逐段精读

  27.7k73402.5k

• HarisIqbal88/PlotNeuralNet

  Latex code for making neural networks diagrams

  Language:TeX22.5k2271222.9k

• exo-explore/exo

  Run your own AI cluster at home with everyday devices 📱💻 🖥️⌚

  Language:Python18.4k1393391k

• google-deepmind/deepmind-research

  This repository contains implementations and illustrative code to accompany DeepMind publications

  Language:Jupyter Notebook13.4k3263252.6k

• tkipf/gcn

  Implementation of Graph Convolutional Networks in TensorFlow

  Language:Python7.2k1571942k

• mamba-org/mamba

  The Fast Cross-Platform Package Manager

  Language:C++7.1k461.8k370

• conda-forge/miniforge

  A conda-forge distribution.

  Language:Shell6.9k56400346

• notion-enhancer/notion-enhancer

  An enhancer/customiser for the all-in-one productivity workspace Notion

  Language:JavaScript4.8k40777245

• wkentaro/gdown

  Google Drive Public File Downloader when Curl/Wget Fails

  Language:Python4.4k24179358

• huggingface/knockknock

  🚪✊Knock Knock: Get notified when your training ends with only two additional lines of code

  Language:Python2.8k6442236

• jpalardy/vim-slime

  A vim plugin to give you some slime. (Emacs)

  Language:Vim Script1.9k24235228

• tensorflow/model-optimization

  A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.

  Language:Python1.5k120359324

• ivanov/vim-ipython

  A two-way integration between Vim and IPython 0.11+

  Language:Python1k47118163

• ndrplz/google-drive-downloader

  Minimal class to download shared files from Google Drive.

  Language:Python269132063

• mims-harvard/graphml-tutorials

  Tutorials for Machine Learning on Graphs

  Language:Jupyter Notebook2139155

• dglai/Graph-Neural-Networks-in-Life-Sciences

  Language:Jupyter Notebook2106348

• VITA-Group/TENAS

  [ICLR 2021] "Neural Architecture Search on ImageNet in Four GPU Hours: A Theoretically Inspired Perspective" by Wuyang Chen, Xinyu Gong, Zhangyang Wang

  Language:Python16761631

• schulter/EMOGI

  An explainable multi-omics graph integration method based on graph convolutional networks to predict cancer genes.

  Language:Jupyter Notebook14631132

• sayakpaul/ConvNeXt-TF

  Includes PyTorch -> Keras model porting code for ConvNeXt family of models with fine-tuning and inference notebooks.

  Language:Jupyter Notebook1006813

• xzenglab/KGNN

  Source Code for IJCAI'20 "KGNN: Knowledge Graph Neural Network for Drug-Drug Interaction Prediction"

  Language:Python873538

• flatironinstitute/sciware

  Learning materials for scientific software development

  Language:HTML8185636

• iancovert/removal-explanations

  A lightweight implementation of removal-based explanations for ML models.

  Language:Python573012

• rtu715/NAS-Bench-360

  Introducing diverse tasks for NAS

  Language:Python47443

• KalinNonchev/gnomAD_DB

  This package scales the huge gnomAD files to a SQLite database, which is easy and fast to query. It extracts from a gnomAD vcf the minor allele frequency for each variant.

  Language:Python3932610

• zhanglab-aim/EMGNN

  Explainable Multilayer Graph Neural Network for Cancer Gene Prediction

  Language:Jupyter Notebook13313

• zhanglab-aim/LINGO

  Language:Python9201

• MichailChatzianastasis/WLHN

  Weisfeiler and Leman go Hyperbolic: Learning Distance Preserving Node Representations

  Language:Python8201

• jeffhussmann/repair-seq

  processing, analysis, and visualization of data from Repair-seq screens

  Language:Python4438