flowpoint's starred repositories

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Voyager

An Open-Ended Embodied Agent with Large Language Models

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krazyworld

krazy grid world

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babyai

BabyAI platform. A testbed for training agents to understand and execute language commands.

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Nuitka

Nuitka is a Python compiler written in Python. It's fully compatible with Python 2.6, 2.7, 3.4-3.12. You feed it your Python app, it does a lot of clever things, and spits out an executable or extension module.

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purejaxrl

Really Fast End-to-End Jax RL Implementations

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xland-minigrid

JAX-accelerated Meta-Reinforcement Learning Environments Inspired by XLand and MiniGrid 🏎️

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act

Run your GitHub Actions locally 🚀

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minihf

MiniHF is an inference, human preference data collection, and fine-tuning tool for local language models. It is intended to help the user develop their prompts into full models.

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bsuite

bsuite is a collection of carefully-designed experiments that investigate core capabilities of a reinforcement learning (RL) agent

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gymnax

RL Environments in JAX 🌍

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Video-Pre-Training

Video PreTraining (VPT): Learning to Act by Watching Unlabeled Online Videos

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STEVE-1

STEVE-1: A Generative Model for Text-to-Behavior in Minecraft

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EldenRL

Reinforcement Learning for Elden Ring on Windows11

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SoulsGym

Gymnasium extension for DarkSouls III, Elden Ring, and other Souls games

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LLaVA

[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.

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PokemonRedExperiments

Playing Pokemon Red with Reinforcement Learning

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meme-search-engine

Local CLIP search over meme libraries

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video2dataset

Easily create large video dataset from video urls

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clip-video-encode

Easily compute clip embeddings from video frames

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webdataset

A high-performance Python-based I/O system for large (and small) deep learning problems, with strong support for PyTorch.

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laion-prepro

Get hundred of million of image+url from the crawling at home dataset and preprocess them

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clip-retrieval

Easily compute clip embeddings and build a clip retrieval system with them

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OBELICS

Code used for the creation of OBELICS, an open, massive and curated collection of interleaved image-text web documents, containing 141M documents, 115B text tokens and 353M images.

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Big-Interleaved-Dataset

Big-Interleaved-Dataset

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open_flamingo

An open-source framework for training large multimodal models.

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MS-AMP

Microsoft Automatic Mixed Precision Library

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unilm

Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

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tuning_playbook

A playbook for systematically maximizing the performance of deep learning models.

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framework-reproducibility

Providing reproducibility in deep learning frameworks

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