topwasu

topwasu's Stars

• cmastalli/model-predictive-control

  Automatically exported from code.google.com/p/model-predictive-control

  Language:TeX145

• k4ntz/OC_Atari

  Object Centric Atari games

  Language:Python438

• heiner/nle

  The NetHack Learning Environment

  Language:C428

• maciej-sypetkowski/autoascend

  The first place solution for the NeurIPS 2021 Nethack Challenge -- https://www.aicrowd.com/challenges/neurips-2021-the-nethack-challenge

  Language:Python5515

• riadas/Autumn.jl

  Library for causal and probabilistic inference in Julia

  Language:JavaScript123

• JuliaPy/PythonCall.jl

  Python and Julia in harmony.

  Language:Julia77163

• THUDM/AgentBench

  A Comprehensive Benchmark to Evaluate LLMs as Agents (ICLR'24)

  Language:Python2.1k148

• probcomp/hfppl

  Probabilistic programming with HuggingFace language models

  Language:Python8514

• zenna/CausalDiscovery.jl

  Language:Julia104

• riadas/Autumnal.js

  Collecting user interaction traces for use with Autumn synthesizer.

  Language:Python1

• larsmaaloee/auxiliary-deep-generative-models

  Deep generative models for semi-supervised learning.

  Language:Python10928

• bramleyccslab/computational_constructivism

  21

• linlu-qiu/lm-inductive-reasoning

  Language:Python255

• bramleyccslab/discovery

  Resources for Data-driven grammatical hypothesis generation in concept learning "Zendo" project

  4

• alextamkin/generative-elicitation

  Language:Python11912

• aliannejadi/qulac

  Qulac: A dataset on asking Questions for Lack of Clarity in open-domain information-seeking conversations.

  Language:Jupyter Notebook739

• asappresearch/interactive-classification

  Language:Python154

• raosudha89/ranking_clarification_questions

  Code and Data for the paper: "Learning to Ask Good Questions: Ranking Clarification Questions using Neural Expected Value of Perfect Information"

  Language:Python10225

• janphilippfranken/zendo_exp

  Language:JavaScript1

• janphilippfranken/zendo

  Language:TeX2

• ellisk42/humanlike_fewshot_learning

  Language:Python223

• pclucas14/iaf-vae

  Pytorch Implementation of OpenAI's "Improved Variational Inference with Inverse Autoregressive Flow"

  Language:Python8013

• zylon-ai/private-gpt

  Interact with your documents using the power of GPT, 100% privately, no data leaks

  Language:Python53.7k7.2k

• EugenHotaj/pytorch-generative

  Easy generative modeling in PyTorch.

  Language:Python42268

• goodfeli/adversarial

  Code and hyperparameters for the paper "Generative Adversarial Networks"

  Language:Python3.9k1.1k

• openai/iaf

  Code for reproducing key results in the paper "Improving Variational Inference with Inverse Autoregressive Flow"

  Language:Python517131

• addtt/ladder-vae-pytorch

  Ladder Variational Autoencoders (LVAE) in PyTorch

  Language:Python8910

• karpathy/minGPT

  A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

  Language:Python19.9k2.5k

• RoboCoachTechnologies/GPT-Synthesizer

  Software design & development with AI

  Language:Python28625

• shoggoth13/langchain_model

  Language:Python20