Generative Agents: Interactive Simulacra of Human Behavior

🌟 The Multi-Agent Framework: Given one line Requirement, return PRD, Design, Tasks, Repo

Instruct-tune LLaMA on consumer hardware

Implementation of the LLaMA language model based on nanoGPT. Supports flash attention, Int8 and GPTQ 4bit quantization, LoRA and LLaMA-Adapter fine-tuning, pre-training. Apache 2.0-licensed.

A guidance language for controlling large language models.

GPTeam: An open-source multi-agent simulation

OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.

An open platform for training, serving, and evaluating large languages. Release repo for Vicuna and FastChat-T5.

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

Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"

Trax — Deep Learning with Clear Code and Speed

Transforms PDF, Documents and Images into Enriched Structured Data

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

Unsupervised text tokenizer for Neural Network-based text generation.

⚡ Building applications with LLMs through composability ⚡

Set of robotic environments based on PyBullet physics engine and gymnasium.

FinRL­-Meta: Data-Driven Metaverse for Financial Reinforcement Learning. 🔥

Cloud-native Deep Reinforcement Learning. 🔥

A hyperparameter optimization framework

A curated list of references for MLOps

High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)

The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement …

PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

course.fast.ai 2022 part 2 - under construction

A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.

Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics, machine learning etc.

High-quality single-file implementations of SOTA Offline RL algorithms: AWAC, BC, CQL, DT, EDAC, IQL, SAC-N, TD3+BC

Programming assignments and quizzes from all courses within the Machine Learning Engineering for Production (MLOps) specialization offered by deeplearning.ai