The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑‍🔬

A Simple Github Action that adds docstrings to Python functions by analysing code using OpenAI's GPT3 API

AWS SageMaker, SeldonCore, KServe, Kubeflow & MLflow, VectorDB

Machine Learning and Artificial Intelligence for Medicine.

CPU and GPU-accelerated Machine Learning Library

Code to allow running BIDMach on Spark including HDFS integration and lightweight sparse model updates (Kylix).

Efficient Counter that uses a limited (bounded) amount of memory regardless of data size.

Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins

A flexible framework of neural networks for deep learning

Artifacts used in the blog post Use AWS Cloud9 to Power your Visual Studio Code IDE

The goal of CLAIMED is to enable low-code/no-code rapid prototyping style programming to seamlessly CI/CD into production.

Controllable LLM generation

LLAMA

Easy-to-use pytorch-based framework for RecSys models

DGRL Official Code RL for offline

How-Tos for GraphLab Create

PyTorch implementation for "HyperSPNs: Compact and Expressive Probabilistic Circuits", NeurIPS 2021

My PhD thesis. I defended on the 30th of October, 2020! See https://github.com/eleurent/phd-defense/

LibRerank is a toolkit for re-ranking algorithms. There are a number of re-ranking algorithms, such as PRM, DLCM, GSF, miDNN, SetRank, EGRerank, Seq2Slate.

This repository hosts a prototype for patent analysis with a particular focus on extracting specific technical measurements and their associated values