diep1920

diep1920's Stars

• h5bp/html5-boilerplate

  A professional front-end template for building fast, robust, and adaptable web apps or sites.

  Language:JavaScript56.4k2.5k1.3k12.2k

• graykode/nlp-tutorial

  Natural Language Processing Tutorial for Deep Learning Researchers

  Language:Jupyter Notebook14k290523.9k

• xmu-xiaoma666/External-Attention-pytorch

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

  Language:Python11.2k104791.9k

• diff-usion/Awesome-Diffusion-Models

  A collection of resources and papers on Diffusion Models

  Language:HTML10.7k26646926

• facebookresearch/ConvNeXt

  Code release for ConvNeXt model

  Language:Python5.7k32128690

• geohot/fromthetransistor

  From the Transistor to the Web Browser, a rough outline for a 12 week course

  5.1k20724430

• kimiyoung/transformer-xl

  Language:Python3.6k83133762

• awesome-mlss/awesome-mlss

  🤖 Machine Learning Summer School deadlines

  Language:HTML2.6k25649295

• idiap/fast-transformers

  Pytorch library for fast transformer implementations

  Language:Python1.6k24117174

• google-research/big_transfer

  Official repository for the "Big Transfer (BiT): General Visual Representation Learning" paper.

  Language:Python1.5k4258175

• adam-maj/deep-learning

  A deep-dive on the entire history of deep-learning

  Language:Jupyter Notebook9858878

• lukemelas/do-you-even-need-attention

  Is the attention layer even necessary? (https://arxiv.org/abs/2105.02723)

  Language:Python48011332

• DengPingFan/PraNet

  PraNet: Parallel Reverse Attention Network for Polyp Segmentation, MICCAI 2020 (Oral). Code using Jittor Framework is available.

  Language:Python434755119

• h5bp/main.css

  A repository for the development of the HTML5 Boilerplate CSS file, main.css

  Language:CSS203103543

• vndee/awsome-vietnamese-nlp

  A collection of Vietnamese Natural Language Processing resources.

  1944139

• pyxelr/recommendations-for-engineers

  All of my recommendations for aspiring engineers in a single place, coming from various areas of interest.

  1405025

• trzy/FasterRCNN

  Clean and readable implementations of Faster R-CNN in PyTorch and TensorFlow 2 with Keras.

  Language:Python12861330

• fawazsammani/awesome-mlp-mixer

  Transformers w/o Attention, based fully on MLPs

  85346

• techmexdev/fromthetransistor

  Let's get it

  Language:Verilog72804

• potamides/AutomaTikZ

  Text-Guided Synthesis of Scientific Vector Graphics with TikZ

  Language:Python653123

• ReaFly/ACSNet

  MICCAI 2020 : Adaptive Context Selection for Polyp Segmentation (Pytorch implementation).

  Language:Python52294

• shreyansh26/ML-Optimizers-JAX

  Toy implementations of some popular ML optimizers using Python/JAX

  Language:Python41302

• RandolphVI/Question-Difficulty-Prediction

  About Question Difficulty Prediction Based on Neural Network.

  Language:Python342314

• franciszzj/HiLo

  [ICCV 2023] HiLo: Exploiting High Low Frequency Relations for Unbiased Panoptic Scene Graph Generation

  Language:Python28392

• takase/share_layer_params

  Language:Python282103

• jaketae/param-share-transformer

  PyTorch implementation of Lessons on Parameter Sharing across Layers in Transformers

  Language:Python25213

• ntcongvn/CCBANet

  CCBANet: Cascading Context and Balancing Attention for Polyp Segmentation

  Language:Python24111

• BobMcDear/attention-in-vision

  PyTorch implementation of popular attention mechanisms in vision

  Language:Python152

• roytravel/paper-implementation

  pytorch Implementation of deep learning models

  Language:Python4100

• trzy/VGG16

  Training VGG-16 on ImageNet with TensorFlow and Keras, replicating the results of the paper by Simonyan and Zisserman.

  Language:Python120