🧑‍🏫 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, ... 🧠

Machine learning, in numpy

Natural Language Processing Tutorial for Deep Learning Researchers

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

A PyTorch implementation of the Transformer model in "Attention is All You Need".

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

该仓库主要记录 NLP 算法工程师相关的顶会论文研读笔记

Scenic: A Jax Library for Computer Vision Research and Beyond

Draw a leader line in your web page.

🔥🔥🔥 专注于YOLOv5，YOLOv7、YOLOv8、YOLOv9改进模型，Support to improve backbone, neck, head, loss, IoU, NMS and other modules🚀

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!

Transformer: PyTorch Implementation of "Attention Is All You Need"

Aspect Based Sentiment Analysis, PyTorch Implementations. 基于方面的情感分析，使用PyTorch实现。

Gathers machine learning and Tensorflow deep learning models for NLP problems, 1.13 < Tensorflow < 2.0

This is a pytorch repository of YOLOv4, attentive YOLOv4 and mobilenet YOLOv4 with PASCAL VOC and COCO

Documents, papers and codes related to Natural Language Processing, including Topic Model, Word Embedding, Named Entity Recognition, Text Classificatin, Text Generation, Text Similarity, Machine Translation)，etc. All codes are implemented intensorflow 2.0.

Implementation of LambdaNetworks, a new approach to image recognition that reaches SOTA with less compute

Improving Convolutional Networks via Attention Transfer (ICLR 2017)

Generative Adversarial Transformers

Replication of simple CV Projects including attention, classification, detection, keypoint detection, etc.