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langchain

🦜🔗 Build context-aware reasoning applications

Language:Jupyter NotebookMIT9252600

Prompt-Engineering-Guide

🐙 Guides, papers, lecture, notebooks and resources for prompt engineering

Language:MDXMIT4783400

ChatGPT-pdf

A Chrome extension for downloading your ChatGPT history to PNG, PDF or a sharable link

Language:JavaScriptMIT146200

chatgpt-google-extension

This project is deprecated. Check my new project ChatHub:

Language:TypeScriptGPL-3.01326100

chatgpt-advanced

WebChatGPT: A browser extension that augments your ChatGPT prompts with web results.

Language:TypeScriptMIT642500

gpt-neo

An implementation of model parallel GPT-2 and GPT-3-style models using the mesh-tensorflow library.

Language:PythonMIT820500

wechat-chatgpt

Use ChatGPT On Wechat via wechaty

Language:TypeScript1323700

awesome-causality-algorithms

An index of algorithms for learning causality with data

MIT289400

EconML

ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.

Language:Jupyter NotebookNOASSERTION375200

dowhy

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

Language:PythonMIT701800

causalml

Uplift modeling and causal inference with machine learning algorithms

Language:PythonNOASSERTION498700

DCBO

Dynamic causal Bayesian optimisation

Language:Jupyter NotebookMIT3200

TransferLearningTimeSeries

Transfer Learning for Time Series Prediction Task

Language:Python9800

RUL-Net

Deep learning approach for estimation of Remaining Useful Life (RUL) of an engine

Language:PythonMIT22000

projectRUL

to prediction the remain useful life of bearing based on 2012 PHM data

Language:Python24300

Remaining-Useful-Life-Prediction-RNN

Remaining Useful Life Prediction Using RNN/LSTM/GRU Neural Networks

Language:Python11700

ConvRNN_for_RUL_estimation

Code used in Thesis "Convolutional Recurrent Neural Networks for Remaining Useful Life Prediction in Mechanical Systems".

Language:Python7700

io

Dataset, streaming, and file system extensions maintained by TensorFlow SIG-IO

Language:C++Apache-2.070100

CS-Notes

:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计

disentangled-representation-papers

A curated list of research papers related to learning disentangled representations

awesome-cheatsheets

超级速查表 - 编程语言、框架和开发工具的速查表，单个文件包含一切你需要知道的东西 :zap:

Language:ShellMIT1107200

bigdata18

Transfer learning for time series classification

Language:PythonGPL-3.037900

Network-Speed-and-Compression

Network acceleration methods

Awesome-Pruning

A curated list of neural network pruning resources.

awesome-ml-model-compression

Awesome machine learning model compression research papers, quantization, tools, and learning material.

MIT47300

model-compression-and-acceleration-4-DNN

model-compression-and-acceleration-4-DNN

2100

knowledge-distillation-papers

knowledge distillation papers

channel-pruning

Channel Pruning for Accelerating Very Deep Neural Networks (ICCV'17)

Language:PythonMIT107400

Blog

每周一篇，内容精简，不咸不淡，期盼探讨。微信公众号：芋道源码【纯源码分享公众号】

ai-deadlines

:alarm_clock: AI conference deadline countdowns

Language:JavaScriptMIT559000