maggie0106

maggie0106's Stars

• Binaryify/NeteaseCloudMusicApi

  网易云音乐 Node.js API service

  30.3k3621.3k15.8k

• openai/CLIP

  CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

  Language:Jupyter Notebook26.6k3254053.4k

• google-deepmind/alphafold

  Open source code for AlphaFold 2.

  Language:Python13k2288672.3k

• jason718/awesome-self-supervised-learning

  A curated list of awesome self-supervised methods

  6.2k24819830

• HobbitLong/RepDistiller

  [ICLR 2020] Contrastive Representation Distillation (CRD), and benchmark of recent knowledge distillation methods

  Language:Python2.2k1757401

• ChandlerBang/awesome-self-supervised-gnn

  Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).

  Language:Python1.6k543164

• safe-graph/graph-fraud-detection-papers

  A curated list of graph-based fraud, anomaly, and outlier detection papers & resources

  1.5k554261

• Yelp/dataset-examples

  Samples for users of the Yelp Academic Dataset

  Language:Python1.2k9441615

• PyGCL/PyGCL

  PyGCL: A PyTorch Library for Graph Contrastive Learning

  Language:Python90684796

• GFNOrg/gflownet

  Generative Flow Networks

  Language:Python613141877

• yuanli2333/Teacher-free-Knowledge-Distillation

  Knowledge Distillation: CVPR2020 Oral, Revisiting Knowledge Distillation via Label Smoothing Regularization

  Language:Python583113067

• uber-research/LaneGCN

  [ECCV2020 Oral] Learning Lane Graph Representations for Motion Forecasting

  Language:Python506939130

• google-research/robustness_metrics

  Language:Jupyter Notebook466111033

• SXKDZ/awesome-self-supervised-learning-for-graphs

  A curated list for awesome self-supervised learning for graphs.

  37713045

• THUDM/GCC

  GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training @ KDD 2020

  Language:Python324152555

• hendrycks/error-detection

  A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks

  Language:Jupyter Notebook2256339

• CRIPAC-DIG/GCA

  [WWW 2021] Source code for "Graph Contrastive Learning with Adaptive Augmentation"

  Language:Python1643927

• lowRISC/ariane

  Ariane is a 6-stage RISC-V CPU

  Language:SystemVerilog12415025

• UCLA-VAST/AutoBridge

  [FPGA 2021, Best Paper Award] An automated floorplanning and pipelining tool for Vivado HLS.

  Language:C++122111526

• tmscarla/spotify-recsys-challenge

  A complete set of Recommender Systems techniques used in the Spotify Recsys Challenge 2018 developed by a team of MSc students in Politecnico di Milano.

  Language:Jupyter Notebook998134

• Namkyeong/AFGRL

  The official source code for "Augmentation-Free Self-Supervised Learning on Graphs"

  Language:Python752415

• THUIR/PreHash

  Language:Python614411

• siyongxu/GNUD

  Source code for ACL 2020 paper “Graph Neural News Recommendation with Unsupervised Preference Disentanglement”

  Language:Python6011225

• devnkong/VQ-GNN

  Official implementation of our VQ-GNN paper (NeurIPS2021)

  Language:Python37204

• krzhu/abcRL

  MLCAD 2020: Reinforcement for logic optimization sequence exploration

  Language:Python28338

• DfX-NYUAD/Corblivar

  Corblivar is a simulated-annealing-based floorplanning suite for 3D ICs

  Language:C++263412

• networkslab/rnn_flow

  Language:Python22425

• mtduman/Ferry_ETA_Prediction

  Machine Learning using Python Scikit-Learn: Washington State Ferries estimate time of arrival prediction

  Language:Jupyter Notebook16105

• DeqingYang/ACAM-model

  It is deep recommendation model with attribute-level co-attention, which has been accepted as a short paper in SIGIR2020.

  Language:Python911

• qiaoyu-tan/HashGNN

  Language:Python8102