language-planner VS nn

Compare language-planner vs nn and see what are their differences.

language-planner

Official Code for "Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents" (by huangwl18)
language-model gpt-3 codex Transformers Artificial intelligence Planning knowledge-extraction in-context-learning foundation-models Deep Learning embodied-ai
Source Code
huangwl18.github.io
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nn

🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠 (by lab-ml)
Deep Learning deep-learning-tutorial Pytorch Gan Transformers reinforcement-learning Optimizers neural-networks Transformer Machine Learning attention literate-programming
Source Code
nn.labml.ai
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language-planner nn
1 26
227 49,142
- 5.9%
0.0 7.7
about 2 years ago 2 months ago
Jupyter Notebook Jupyter Notebook
MIT License MIT License
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language-planner

Posts with mentions or reviews of language-planner. We have used some of these posts to build our list of alternatives and similar projects.

nn

Posts with mentions or reviews of nn. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-01-09.

What are some alternatives?

When comparing language-planner and nn you can also consider the following projects:

gpt-3-simple-tutorial - Generate SQL from Natural Language Sentences using OpenAI's GPT-3 Model

GFPGAN-for-Video-SR - A colab notebook for video super resolution using GFPGAN

augmented-interpretable-models - Interpretable and efficient predictors using pre-trained language models. Scikit-learn compatible.

labml - 🔎 Monitor deep learning model training and hardware usage from your mobile phone 📱

alpaca_eval - An automatic evaluator for instruction-following language models. Human-validated, high-quality, cheap, and fast.

functorch - functorch is JAX-like composable function transforms for PyTorch.

tldr-transformers - The "tl;dr" on a few notable transformer papers (pre-2022).

ZoeDepth - Metric depth estimation from a single image

BLOOM-fine-tuning - Finetune BLOOM

onnx-simplifier - Simplify your onnx model

Fast-Transformer - An implementation of Fastformer: Additive Attention Can Be All You Need, a Transformer Variant in TensorFlow

Basic-UI-for-GPT-J-6B-with-low-vram - A repository to run gpt-j-6b on low vram machines (4.2 gb minimum vram for 2000 token context, 3.5 gb for 1000 token context). Model loading takes 12gb free ram.

language-planner vs gpt-3-simple-tutorial nn vs GFPGAN-for-Video-SR language-planner vs augmented-interpretable-models nn vs labml language-planner vs alpaca_eval nn vs functorch language-planner vs tldr-transformers nn vs ZoeDepth language-planner vs BLOOM-fine-tuning nn vs onnx-simplifier language-planner vs Fast-Transformer nn vs Basic-UI-for-GPT-J-6B-with-low-vram