verl: Volcano Engine Reinforcement Learning for LLMs

LLM101n: Let's build a Storyteller

A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API

Reproducing Yann LeCun 1989 paper "Backpropagation Applied to Handwritten Zip Code Recognition", to my knowledge the earliest real-world application of a neural net trained with backpropagation.

Implementation of Denoising Diffusion Probabilistic Model in Pytorch

Consistency Distilled Diff VAE

Code for the paper "Planning with Diffusion for Flexible Behavior Synthesis"

面向开发者的 LLM 入门教程，吴恩达大模型系列课程中文版

✨ Light and Fast AI Assistant. Support: Web | iOS | MacOS | Android | Linux | Windows

Inference code for Llama models

This repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, suc…

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Budget Constrained Bidding for Display Advertising using Model-free Reinforcement Learning

Papers on Computational Advertising

Code of ICML-2020 paper Dynamic Knapsack Optimization Towards Efficient Multi-Channel Sequential Advertising

Uplift modeling and causal inference with machine learning algorithms

Learning Scheduling Algorithms for Data Processing Clusters

An implementation of GCN-NPEC for VRP

Illustrated Examples from Sutton and Barto

xingtian is a componentized library for the development and verification of reinforcement learning algorithms

Code associated with the NeurIPS19 paper "Weighted Linear Bandits in Non-Stationary Environments"

Grokking Deep Reinforcement Learning

This repository contains implementations and illustrative code to accompany DeepMind publications

Machine Learning for Combinatorial Optimization - NeurIPS'21 competition

Exact Combinatorial Optimization with Graph Convolutional Neural Networks (NeurIPS 2019)

Adds CityFlow to Gym

Effcient Ridesharing Dispatch Using Multi-Agent Reinforcement Learning