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Browser extension which enhance job searcing
A python bot to automatically apply all Linkedin,Glassdoor, etc Easy Apply jobs based on your preferences. Auto login, auto fill additional questions, apply automatically!
Automate the application process on LinkedIn
The simplest, fastest repository for training/finetuning medium-sized GPTs.
Simple and efficient pytorch-native transformer text generation in <1000 LOC of python.
PyTorch package for the discrete VAE used for DALL·E.
Structured Graph Learning via Laplacian Spectral Constraints (NeurIPS 2019)
Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages
PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)
My Reading Lists of Deep Learning and Natural Language Processing
A PyTorch implementation of the Transformer model in "Attention i C709 s All You Need".
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
Papers on Graph neural network(GNN)
A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API
Data science interview questions and answers
SEAL (learning from Subgraphs, Embeddings, and Attributes for Link prediction). "M. Zhang, Y. Chen, Link Prediction Based on Graph Neural Networks, NeurIPS 2018 spotlight".
Implementations of "Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks"
Representation learning on large graphs using stochastic graph convolutions.
code for the paper in NeurIPS 2019
Simple reference implementation of GraphSAGE.
Framework for evaluating Graph Neural Network models on semi-supervised node classification task
A curated list of network embedding techniques.
Must-read papers on graph neural networks (GNN)