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archive-program

The GitHub Archive Program & Arctic Code Vault

awesome-computer-vision

A curated list of awesome computer vision resources

awesome-vision-attentions

Summary of related papers on visual attention

awesome-vue

🎉 A curated list of awesome things related to Vue.js

colourization

Baby steps to understand colorization

colourizationgan

cp_repo_progress

A casual repository to store and mark the progress that can be made in competitve coding in a year. All Files to be made in java.

e3d_lstm

e3d-lstm; Eidetic 3D LSTM A Model for Video Prediction and Beyond

efficientnet

Implementation of EfficientNet model. Keras and TensorFlow Keras.

fast-neural-style-transfer

gluoncv-torch

PyTorch API for GluonCV Models

hackerrank

HackerRank solutions in Java/JS/Python/C++/C#

how-to-pay-attention

Attention is all you need implementation

kaggle_datasets_work

Some of the most common ML tasks which help building the basic concepts.

keras-gan

Keras implementations of Generative Adversarial Networks.

loveforkeras

Deep Learning for Beginners using Keras | DL tutorials using Keras

matchingnetworks

An attempt at replicating the Matching Networks for One Shot Learning in Tensorflow - Paper URL: https://arxiv.org/pdf/1606.04080.pdf

nlp-recipes

Natural Language Processing Best Practices & Examples

nlplearn

Starting with summarization

panoptic-deeplab

This is Pytorch re-implementation of our CVPR 2020 paper "Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic Segmentation" (https://arxiv.org/abs/1911.10194)

paper-highlights

[WIP] Highlighted and Annotated versions of papers I worked on .

plant_disease_detection

A project from Kaggle on the detection of Plant disease using the vanilla CNN.

poem-generator

Poem generation using Gpt-2-simple

scikit-on-grpc

Using Protocol Buffers and gRPC client-server communication to deploy a scikit-learn joblib exported model.

sgsouham

siamese-network-on-plant-disease.

Just a casual repo storing my siamese network test.

tf-2.0-hacks

Contains my explorations of TensorFlow 2.x

u-2-net-updated

unet-pytorch

wandb-experiments

Experiments Viz using Weights and Biases Interface