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production-level-deep-learning

A guideline for building practical production-level deep learning systems to be deployed in real world applications.

python-ecommerce-recommendation-system-using-machine-learning

Business setting up their recommendation system for first time without any product rating history, & Amazon/Netflix type of recommendation system after the website has collected significant product reviews

pytorch-fid

Compute FID scores with PyTorch.

pytorch-gan

PyTorch implementations of Generative Adversarial Networks.

pytorch-playground

PyTorch playground

pytorch-studiogan

StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation.

pytorch_tutorials

PyTorch tutorials.

real-time-ocr

Real-time OCR with Tensorflow, openCV & Tesseract

really-awesome-gan

A list of papers on Generative Adversarial (Neural) Networks

remote-method-invocation

Programming Distributed Application

rotated_iou

Differentiable IoU of rotated bounding boxes using Pytorch

scikit-learn

scikit-learn: machine learning in Python

secure_android-chat_app

Android Secure Text Application

segmentation_models

Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

shell-scripting

A few Linux shell scripts

signfeld

Synthetic traffic sign detectron

spaceship_submit

stock-prediction-using-twitter-sentiment-analysis

swin-transformer

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

swin-transformer-semantic-segmentation

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" on Semantic Segmentation.

system-design-primer

Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

tensorflow

Computation using data flow graphs for scalable machine learning

tensorflow-advanced-techniques-specialization

Deeplearning.AI TensorFlow Advanced Techniques Specialization Solution

tensorflow-advanced-techniques-specialization-1

Tensorflow Advanced Technique Specialization

thin_slicing

traffic-sign-recognition

Using synthetic data in combination with Deep Learning, to determine if a system can be made that will be able to recognise and classify correctly real traffic signs.

trafficsigngan

Augmenting existing datasets of traffic signs by using a Generative Adversarial Network to create synthetic images that will increase the accuracy and generalization ability of classification models.

transformers

🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.

trax

Trax — Deep Learning with Clear Code and Speed

ttur

Two time-scale update rule for training GANs