Deadmoustache

Deadmoustache's Stars

• Lightning-AI/litgpt

  20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.

  Language:Python9.5k87724943

• google-research/language

  Shared repository for open-sourced projects from the Google AI Language team.

  Language:Python1.6k61116344

• DeepReinforcementLearning/DeepReinforcementLearningInAction

  Code from the Deep Reinforcement Learning in Action book from Manning, Inc

  Language:Jupyter Notebook7252426305

• Bigpig4396/Multi-Agent-Reinforcement-Learning-Environment

  Hello, I pushed some python environments for Multi Agent Reinforcement Learning.

  Language:Python66497124

• philipperemy/stanford-openie-python

  Stanford Open Information Extraction made simple!

  Language:Python6281235101

• iassael/learning-to-communicate

  Learning to Communicate with Deep Multi-Agent Reinforcement Learning

  Language:Lua43522172

• google-research-datasets/ToTTo

  ToTTo is an open-domain English table-to-text dataset with over 120,000 training examples that proposes a controlled generation task: given a Wikipedia table and a set of highlighted table cells, produce a one-sentence description. We hope it can serve as a useful research benchmark for high-precision conditional text generation.

  43311837

• cts198859/deeprl_network

  multi-agent deep reinforcement learning for networked system control.

  Language:Python36991692

• sdadas/polish-nlp-resources

  Pre-trained models and language resources for Natural Language Processing in Polish

  31441527

• ksopyla/awesome-nlp-polish

  A curated list of resources dedicated to Natural Language Processing (NLP) in polish. Models, tools, datasets.

  28528134

• lord-denning/Huberman-Lab-Podcast-Transcripts

  24717255

• kesara/deepdreamer

  Easy to configure Python program that make use of Google's DeepDream.

  Language:Python209131642

• osainz59/Ask2Transformers

  A Framework for Textual Entailment based Zero Shot text classification

  Language:Python15061215

• ProGamerGov/neural-dream

  PyTorch implementation of DeepDream algorithm

  Language:Python13271519

• Yale-LILY/FeTaQA

  Dataset for TACL 2022 paper: "FeTaQA: Free-form Table Question Answering"

  Language:Python74955

• facebookresearch/measuring-emergent-comm

  On the pitfalls of measuring emergent communication

  Language:Python33517

• dzieciou/pystempel

  Python port of Stempel, an algorithmic stemmer for Polish language.

  Language:HTML320185

• uoe-agents/LIAM

  Official Repository for "Agent Modelling under Partial Observability for Deep Reinforcement Learning"

  Language:Python30467

• saizhang0218/TMC

  Pytorch implementation of "Succinct and Robust Multi-Agent Communication With Temporal Message Control"

  Language:Python242610

• juancq/emotion-recognition-smartwatch

  Data set and source code used in "Emotion Recognition Using Smart Watch Sensor Data: Mixed-Design Study."

  Language:Python23416

• sdadas/polish-sentence-evaluation

  Evaluation of Sentence Representations in Polish

  Language:Python21802

• MUmarJaved/MultiAgent-Distributed-Reinforcement-Learning

  Language:Python20414

• Tutanchamon/pl_stemmer

  A very simple python stemmer for Polish language based on Porter's Algorithm

  Language:Python20336

• IEEE-NITK/Multi-Agent-Reinforcement-Learning

  Reinforcement Learning approaches for learning communication in Multi Agent Systems.

  Language:Python161216

• amazon-science/wqa-contextual-qa

  Coala is a python package for Contextual Answer Sentence Selection.

  Language:Python151025

• brinnaebent/wearablecompute

  wearablecompute is an open source Python package containing over 50 data and domain-driven features that can be computed from wearables and mHealth sensor data.

  Language:Python14313

• EC2EZ4RD/IMAC

  Language:Python9205

• stopwords-iso/stopwords-pl

  Polish stopwords collection

  92211

• ChainsmokersAI/Prompt-Tuning-on-ToTTo

  T5 Prompt Tuning on ToTTo Dataset (Table-To-Text Generation)

  Language:Python8102

• saichandrapandraju/TabQGen

  This repository hosts the code for the paper "Answer-Aware Question Generation from Tabular and Textual Data using T5"

  Language:Jupyter Notebook42