General technology for enabling AI capabilities w/ LLMs and MLLMs

code for paper Query-Dependent Prompt Evaluation and Optimization with Offline Inverse Reinforcement Learning

An open source interface specification to communicate with a GoPro camera with accompanying demos and tutorials.

欢迎大家在issues中挂自己mujoco开发过程中遇到的问题，也欢迎大家去帮忙解决其他人的问题，互相学习互相进步。

An Open-Source Framework for Prompt-Learning.

Accompanying repo for the RLPrompt paper

这个资源库包含了为 Prompt 工程手工整理的资源中文清单，重点是生成性预训练变换器（GPT）、ChatGPT、PaLM 等（自动持续更新）

An implementation of the BERT model and its related downstream tasks based on the PyTorch framework

TensorFlow implementation of GradNorm

各类闲书分享（equb版本，ipad可直接打开阅读）

Code for the ICLR2022 paper "Differentiable Prompt Makes Pre-trained Language Models Better Few-shot Learners"

An optimized deep prompt tuning strategy comparable to fine-tuning across scales and tasks

Python Data Structures and Algorithms, published by Packt

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

A toolkit for reproducible reinforcement learning research.

A simple recipe for training and inferencing Transformer architecture for Multi-Task Learning on custom datasets. You can find two approaches for achieving this in this repo.

Unsupervised Domain Adaptation for Computer Vision Tasks

An open source robotics benchmark for meta- and multi-task reinforcement learning

此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。

Meta-Inverse Reinforcement Learning with Probabilistic Context Variables

Transformers are Meta-Reinforcement Learners - International Conference on Machine Learning (ICML) 2022

A high-performance distributed training framework for Reinforcement Learning

Adambots 2022 - Rapid React Repository

该仓库尝试整理推荐系统领域的一些经典算法模型

FSL-Mate: A collection of resources for few-shot learning (FSL).

A dataset of datasets for learning to learn from few examples