psychologyphd Goto Github PK

iamax

Supplemental materials for the paper Using Constraint Programming and Graph "Representation Learning for Generating Interpretable Cloud Security Policies"

ibm-quantum-challenge-2021

For IBM Quantum Challenge 2021 (May 20 - 26)

imagen-pytorch

Implementation of Imagen, Google's Text-to-Image Neural Network, in Pytorch

kdd2019-handson-tutorial

KDD 2019 hands-on tutorial

leetcode-1

:pencil2: 算法相关知识储备 LeetCode with Python :books:

linghu-algorithm-templete

llama

Inference code for LLaMA models

mlflow_docker

Containerized Deployment of MLFlow Models with Databricks Integration

nanogpt

The simplest, fastest repository for training/finetuning medium-sized GPTs.

nlp-tutorial

Natural Language Processing Tutorial for Deep Learning Researchers

palm-rlhf-pytorch

Implementation of RLHF (Reinforcement Learning with Human Feedback) on top of the PaLM architecture. Basically ChatGPT but with PaLM

peft

🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

qcsim

Simulation Of A Quantum Computer In Python

qiskit-iqx-tutorials

A collection of Jupyter notebooks showing how to use Qiskit that is synced with the IBM Q Experience

quantum-bai

High-level simulation of quantum algorithms for Best Arm Identification in Quantum Multi-Armed Bandits

quantum-internet

In this repository, we will collaborate on building the quantum internet and developing applications for it.

qutrit-qc-simulator

Experimenting with building a qutrit simulator for quantum computing

retro-pytorch

Implementation of RETRO, Deepmind's Retrieval based Attention net, in Pytorch

robyn

Robyn is an experimental, automated and open-sourced Marketing Mix Modeling (MMM) package from Facebook Marketing Science. It uses various machine learning techniques (Ridge regression with cross validation, multi-objective evolutionary algorithm for hyperparameter optimisation, gradient-based optimisation for budget allocation etc.) to define media channel efficiency and effectivity, explore adstock rates and saturation curves. It's built for granular datasets with many independent variables and therefore especially suitable for digital and direct response advertisers with rich dataset.

rspapers

A Curated List of Must-read Papers on Recommender System.

sagemaker-im

For Sage Maker IM days

sagemaker-studio-examples

End to End SageMaker Example Notebooks

shengjiazhao.github.io

spark

Mirror of Apache Spark

spark-deep-learning

Deep Learning Pipelines for Apache Spark

spark-nlp

State of the Art Natural Language Processing

sparrowrecsys

A Deep Learning Recommender System

stanford_alpaca

Code and documentation to train Stanford's Alpaca models, and generate the data.

system-design-primer

Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

tensornetwork

A library for easy and efficient manipulation of tensor networks.