NLP-With-PyTorch VS vision_models_playground

Compare NLP-With-PyTorch vs vision_models_playground and see what are their differences.

NLP-With-PyTorch

My NLP experiments using PyTorch to solve some common NLP problems with advanced and state of the art deep learning techniques. (by divya-r-kamat)
NLP attention-mechanism Pytorch Transformer encoder-decoder-model
Source Code
Suggest alternative
Edit details

vision_models_playground

Playground for testing and implementing various Vision Models (by Akrielz)
Artificial intelligence attention-mechanism Computer Vision Deep Learning Pytorch Transformer
Source Code
pypi.org
Suggest alternative
Edit details
WorkOS
Our great sponsors
  • WorkOS - The modern identity platform for B2B SaaS
  • InfluxDB - Power Real-Time Data Analytics at Scale
  • SaaSHub - Software Alternatives and Reviews
Our great sponsors
NLP-With-PyTorch vision_models_playground
1 1
0 12
- -
0.0 8.3
over 1 year ago 5 months ago
Jupyter Notebook Jupyter Notebook
- MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

NLP-With-PyTorch

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

vision_models_playground

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

What are some alternatives?

When comparing NLP-With-PyTorch and vision_models_playground you can also consider the following projects:

D2L_Attention_Mechanisms_in_TF - This repository contains Tensorflow 2 code for Attention Mechanisms chapter of Dive into Deep Learning (D2L) book.

swarms - Orchestrate Swarms of Agents From Any Framework Like OpenAI, Langchain, and Etc for Real World Workflow Automation. Join our Community: https://discord.gg/DbjBMJTSWD

chappie.ai - Generalized AI to perform a multitude of tasks written in python3

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

pytorch-GAT - My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entropy histograms. I've supported both Cora (transductive) and PPI (inductive) examples!

pytorch-seq2seq - Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

Transformer-in-Transformer - An Implementation of Transformer in Transformer in TensorFlow for image classification, attention inside local patches

DeepLearning - Contains all my works, references for deep learning

CenterSnap - Pytorch code for ICRA'22 paper: "Single-Shot Multi-Object 3D Shape Reconstruction and Categorical 6D Pose and Size Estimation"

NLP-With-PyTorch vs D2L_Attention_Mechanisms_in_TF vision_models_playground vs swarms NLP-With-PyTorch vs chappie.ai vision_models_playground vs Fast-Transformer NLP-With-PyTorch vs pytorch-GAT vision_models_playground vs pytorch-GAT NLP-With-PyTorch vs pytorch-seq2seq vision_models_playground vs Transformer-in-Transformer vision_models_playground vs DeepLearning vision_models_playground vs CenterSnap