Transformer-Models-from-Scratch VS nn

Compare Transformer-Models-from-Scratch vs nn and see what are their differences.

Transformer-Models-from-Scratch

implementing various transformer models for various tasks (by hbchen-one)
Pytorch Transformer machine-translation Math text-classification
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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
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nn.labml.ai
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Transformer-Models-from-Scratch nn
1 26
58 47,503
- 7.6%
0.0 7.7
almost 2 years ago 27 days ago
Jupyter Notebook Jupyter Notebook
- MIT License
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Transformer-Models-from-Scratch

Posts with mentions or reviews of Transformer-Models-from-Scratch. 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 Transformer-Models-from-Scratch and nn you can also consider the following projects:

OpenNMT-py - Open Source Neural Machine Translation and (Large) Language Models in PyTorch

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

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

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

ganbert-pytorch - Enhancing the BERT training with Semi-supervised Generative Adversarial Networks in Pytorch/HuggingFace

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

emotion-classifier - An attention-based BiLSTM for emotion classification.

ZoeDepth - Metric depth estimation from a single image

tf-transformers - State of the art faster Transformer with Tensorflow 2.0 ( NLP, Computer Vision, Audio ).

onnx-simplifier - Simplify your onnx model

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.

Behavior-Sequence-Transformer-Pytorch - This is a pytorch implementation for the BST model from Alibaba https://arxiv.org/pdf/1905.06874.pdf

Transformer-Models-from-Scratch vs OpenNMT-py nn vs GFPGAN-for-Video-SR Transformer-Models-from-Scratch vs pytorch-seq2seq nn vs labml Transformer-Models-from-Scratch vs ganbert-pytorch nn vs functorch Transformer-Models-from-Scratch vs emotion-classifier nn vs ZoeDepth Transformer-Models-from-Scratch vs tf-transformers nn vs onnx-simplifier nn vs Basic-UI-for-GPT-J-6B-with-low-vram nn vs Behavior-Sequence-Transformer-Pytorch