Skip to content

Showcasing of my deep learning research, experiment and development

License

Notifications You must be signed in to change notification settings

bhuiyanmobasshir94/Deep-Learning

Repository files navigation

Why Deep Learning

If you want to break into AI, Deep Learning is one of the most highly sought after skills to give you a deep dive here. The foundations of Deep Learning, understand how to build neural networks, and learn how to lead successful machine learning projects is a must and sought after skills. Also Convolutional networks, RNNs, LSTM, Adam, Dropout, BatchNorm, Xavier/He initialization, and more is a deep learning toolbox. AI is transforming multiple industries. These are essentials to understand how to apply it, and build a career in AI.

Curated Resources

Title Domain Link
Generative Adversarial Networks (GANs) in 50 lines of code (PyTorch) GAN link
Transfer Learning for Classification in Ultra-small Biomedical Datasets Biomedical Imaging link
Plug-and-play with BERT as a module in Machine Translation Quality Estimation NLP link
A PyTorch Tools, best practices & Styleguide Pytorch link
DEEP LEARNING by Yann Le Chunn NYU CENTER FOR DATA SCIENCE link
NYU’s Center for Data Science University Portal link
The Roadmap of Mathematics for Deep Learning Mathematics link
The first AI model that translates 100 languages without relying on English data Multilingual Model link
deep-learning-drizzle Resources for deep learning link
google-research-datasets/Objectron link
PyTorch Tutorials Refresh - Behind the Scenes link
Training AI to detect hate speech in the real world link
Here's how we're using AI to help detect misinformation link
MLOps: Continuous delivery and automation pipelines in machine learning link
Companion Jupyter notebooks for the book "Deep Learning with Python" link
“Was That a Chirp?” Making a Bird Audio Detection ConvNet on PyTorch link
Deepfake Detection Challenge Results: An open initiative to advance AI link
Facebook's wave2vec with transformer link

Curated list

  1. MIT 6.S191 Introduction to Deep Learning - Github - Complete Syllabus
  2. Deep Learning - Atcold - NYU CDS
  3. Dive into Deep Learning
  4. Mathematics for machine learning
  5. Applications of Deep Neural Networks with Keras
  6. MIT Deep Learning - youtube playlist - github
  7. Introduction to Deep Learning -- 170 Video Lectures from Adaptive Linear Neurons to Zero-shot Classification with Transformers
  8. Full Stack Deep Learning***

NLP Resource

  1. হাতেকলমে 'বাংলা' ন্যাচারাল ল্যাঙ্গুয়েজ প্রসেসিং

Installation resources

  1. To install Pytorch

Combined

About

Showcasing of my deep learning research, experiment and development

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published