21 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

Reference models and tools for Cloud TPUs.

Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.

Awesome Knowledge Distillation

PyTorch source code for "Stacked Cross Attention for Image-Text Matching" (ECCV 2018)

Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html

Neural networks training pipeline based on PyTorch

A curated list of papers, code and resources pertaining to zero shot learning

Python Script to download hundreds of images from 'Google Images'. It is a ready-to-run code!

Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials,…

Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

Deformable Convolutional Networks

Unsupervised neural machine translation; weight sharing; GAN

pytorch implementation of video captioning

Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.

Google AI 2018 BERT pytorch implementation

Python Implementation of Reinforcement Learning: An Introduction

Inception Score for GANs in Pytorch

Non-local Neural Networks for Video Classification

Pytorch implementation of convolutional neural network visualization techniques

A Unified Feature Disentangler for Multi-Domain Image Translation and Manipulation

Semantic Instance Segmentation with a Discriminative Loss Function in PyTorch

Context-driven data augmentation for Object Detection (ECCV'18)

PyTorch implementation of "Transparency by Design: Closing the Gap Between Performance and Interpretability in Visual Reasoning"

YOLOv3 in PyTorch > ONNX > CoreML > TFLite

Learning diverse image-to-image translation from unpaired data

Pytorch implementation of our method for high-resolution (e.g. 2048x1024) photorealistic video-to-video translation.

Domain Adaptation Based on the Triplet Loss