Rigourous evaluation of LLM-synthesized code - NeurIPS 2023 & COLM 2024

Demonstration of how to leverage Azure OpenAI and Cognitive Search to enable Information Search and Discovery over organizational content

Code to reproduce experiments in the paper "Task-Oriented Dialogue as Dataflow Synthesis" (TACL 2020).

Source code for Grounded Adaptation for Zero-shot Executable Semantic Parsing

Train and visualize Hierarchical Attention Networks

🎆Interactive Online Platform that Visualizes Algorithms from Code

Lime: Explaining the predictions of any machine learning classifier

Open Source Fast Scalable Machine Learning Platform For Smarter Applications: Deep Learning, Gradient Boosting & XGBoost, Random Forest, Generalized Linear Modeling (Logistic Regression, Elastic Ne…

Descriptive mAchine Learning EXplanations

DrWhy is the collection of tools for Explainable AI (XAI). It's based on shared principles and simple grammar for exploration, explanation and visualisation of predictive models.

《神经网络与深度学习》 Neural Network and Deep Learning

Practical techniques for interpreting machine learning models.

A curated list of awesome machine learning interpretability resources.

Notebooks related to Bayesian methods for machine learning

Mastering Bitcoin 2nd Edition - Programming the Open Blockchain

The fastai deep learning library, plus lessons and and tutorials

python partial dependence plot toolbox

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

An open-source NLP research library, built on PyTorch.

Learn to build an enterprise scale intelligent search solution for searching business documents using Microsoft Azure and Cognitive Search

A tutorial demonstrating how to implement recurrent neural networks for time series forecasting

Language, engine, and tooling for expressing, testing, and evaluating composable language rules on input strings.

TensorFlow code and pre-trained models for BERT

😺 Pretty&simple image classifier app template. Deploy your own trained model or pre-trained model (VGG, ResNet, Densenet) to a web app using Flask in 10 minutes.

TransmogrifAI (pronounced trăns-mŏgˈrə-fī) is an AutoML library for building modular, reusable, strongly typed machine learning workflows on Spark with minimal hand tuning

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

Kaggle Python docker image