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🔎 📈 🐍 💰 Backtest trading strategies in Python.
Modular Python library that provides an advanced event driven backtester and a set of high quality tools for quantitative finance. Integrated with various data vendors and brokers, supports Crypto,…
Stock/Crypto Exchange Simulator for Analyzing the Interaction between multiple Trading Agents.
A high-throughput and memory-efficient inference and serving engine for LLMs
Python toolkit for quantitative finance
An Easy-to-use, Scalable and High-performance RLHF Framework (70B+ PPO Full Tuning & Iterative DPO & LoRA & Mixtral)
A curated list of reinforcement learning with human feedback resources (continually updated)
A beautiful, simple, clean, and responsive Jekyll theme for academics
Sparse probing paper full code.
The hub for EleutherAI's work on interpretability and learning dynamics
Train transformer language models with reinforcement learning.
Mesa is an open-source Python library for agent-based modeling, ideal for simulating complex systems and exploring emergent behaviors.
[MLSys 2024 Best Paper Award] AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration
📗 Score text readability using a number of formulas: Flesch-Kincaid Grade Level, Gunning Fog, ARI, Dale Chall, SMOG, and more
FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.
A programming framework for agentic AI. Discord: https://aka.ms/autogen-dc. Roadmap: https://aka.ms/autogen-roadmap
The official Python client library for the Polygon REST and WebSocket API.
[EMNLP 2023] Enabling Large Language Models to Generate Text with Citations. Paper: https://arxiv.org/abs/2305.14627
A "server-wide" state object shared across sessions on a Streamlit server.
A guidance language for controlling large language models.
A library to create multi-page Streamlit applications with ease.
DSPy: The framework for programming—not prompting—foundation models
The Official Repository for "Bring Your Own Data! Self-Supervised Evaluation for Large Language Models"