Collection of great projects I find here
Deep Tutorials for PyTorch
This is a series of in-depth tutorials I'm writing for implementing cool deep learning models on your own with the amazing PyTorch library.
DETR: End-to-End Object Detection with Transformers
A new method that views object detection as a direct set prediction problem.
How to Train Your Neural Net
Deep learning for various tasks in the domains of Computer Vision, Natural Language Processing, Time Series Forecasting using PyTorch 1.0+.
Self Supervised Representation Learning in NLP
An overview of self-supervised pretext tasks in Natural Language Processing
Synthesizing High-Resolution Images with StyleGAN2
Developed by NVIDIA Researchers, StyleGAN2 yields state-of-the-art results in data-driven unconditional generative image modeling.
Python Implementation of Reinforcement Learning: An Introduction
Plot replications, exercise solutions and Anki flashcards for the entire book by chapters.
YoloV3 implementation in keras and tensorflow 2.2
YoloV3 Real Time Object Detector in tensorflow 2.2.
Cycle Text-To-Image GAN with BERT
Image generation from their respective captions, building on state-of-the-art GAN architectures.
Time Series Classification Using Deep Learning
In this article, I will introduce you to a new package called timeseries for fastai2 that I lately developed.
Visualizing Optimization Trajectory of Neural Nets
This is a project making animated plots for optimization paths inspired by the paper "Visualizing the Loss Landscape of Neural Nets".
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Currently diving deep into practical and theoretical aspects of deep learning.
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