A programming framework for agentic AI 🤖 PyPi: autogen-agentchat Discord: https://aka.ms/autogen-discord Office Hour: https://aka.ms/autogen-officehour

Google Research

The fastai deep learning library

State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

A scikit-learn compatible neural network library that wraps PyTorch

An annotated implementation of the Transformer paper.

Fast and flexible AutoML with learning guarantees.

🪼 a python library for doing approximate and phonetic matching of strings.

1st place solution

Hierarchical Attention Networks for Document Classification in PyTorch

Area-weighted venn-diagrams for Python/matplotlib

BERT-NER (nert-bert) with google bert https://github.com/google-research.

How to use ELMo embeddings in Keras with Tensorflow Hub

This notebook shows how to implement LibFM in Keras and how it was used in the Talking Data competition on Kaggle.

My solution to Web Traffic Predictions competition on Kaggle.

Solutions from some kaggle competitions.

Implemented fully-connected DNN of arbitrary depth with Batch Norm and Dropout, three-layer ConvNet with Spatial Batch Norm in NumPy. The update rules used for training are SGD, SGD+Momentum, RMSPr…