Synthesizing and manipulating 2048x1024 images with conditional GANs

Few Shot Semantic Segmentation Papers

Dataset Condensation (ICLR21 and ICML21)

Zero-Shot Knowledge Distillation in Deep Networks

Visualizing image-specific class saliency map in classification ConvNets in Pytorch

Python sample codes and textbook for robotics algorithms.

Simple Online Realtime Tracking with a Deep Association Metric

MobileNetV1, MobileNetV2, VGG based SSD/SSD-lite implementation in Pytorch 1.0 / Pytorch 0.4. Out-of-box support for retraining on Open Images dataset. ONNX and Caffe2 support. Experiment Ideas lik…

Caffe: a fast open framework for deep learning.

SSD: Single Shot MultiBox Detector | a PyTorch Tutorial to Object Detection

Haskell 101 and 102: slides and codelabs

A collection of various deep learning architectures, models, and tips

A hyperparameter optimization framework

A game theoretic approach to explain the output of any machine learning model.

starter from "How to Train a GAN?" at NIPS2016

This repository is to prepare for Machine Learning interviews.