Benchmark various LLM Structured Output frameworks: Instructor, Mirascope, Langchain, LlamaIndex, Fructose, Marvin, Outlines, etc on tasks like multi-label classification, named entity recognition,…

Code for "Effective Dimensionality Reduction for Word Embeddings".

About The corresponding code from our paper " REFINER: Reasoning Feedback on Intermediate Representations" (EACL 2024). Do not hesitate to open an issue if you run into any trouble!

Plug in and Play Implementation of Tree of Thoughts: Deliberate Problem Solving with Large Language Models that Elevates Model Reasoning by atleast 70%

Official implementation of the paper Connecting Large Language Models with Evolutionary Algorithms Yields Powerful Prompt Optimizers

SmartPlay is a benchmark for Large Language Models (LLMs). Uses a variety of games to test various important LLM capabilities as agents. SmartPlay is designed to be easy to use, and to support futu…

Large Language Model based Multi-Agents: A Survey of Progress and Challenges

A one stop repository for generative AI research updates, interview resources, notebooks and much more!

Turns Data and AI algorithms into production-ready web applications in no time.

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 …

A suite of test scenarios for multi-agent reinforcement learning.

Official code repo for the MARL book (www.marl-book.com)

Model explainability that works seamlessly with 🤗 transformers. Explain your transformers model in just 2 lines of code.

A Python package to assess and improve fairness of machine learning models.

Contains implementation of: Tim Salimans Et al. “Evolution Strategies as a Scalable Alternative to Reinforcement Learning”. Arxiv.org. https://arxiv.org/pdf/1703.03864.pdf.

Easy Docker setup for Stable Diffusion with user-friendly UI

A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.

A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.

Benchmarking Canonical Evolution Strategies for Playing Atari

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

A fashion Recommender system using deep learning Resnet50 and Nearest neighbour algorithm

Simple implementations of multi-agent evolutionary strategies using pytorch.

An implementation of the Augmented Random Search algorithm

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

Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL

A library for ready-made reinforcement learning agents and reusable components for neat prototyping