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object_detector_app

Real-Time Object Recognition App with Tensorflow and OpenCV

op_match

pix2pix

Image-to-image translation with conditional adversarial nets

probabilistic-programming-and-bayesian-methods-for-hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

py-thin-plate-spline

Code for computing interpolating / approximating thin plate splines.

pytorch-classification

Classification with PyTorch.

pytorch-consistency-regularization

PyTorch implementation of consistency regularization methods for semi-supervised learning

pytorch-tools

Useful PyTorch functions and modules that are not implemented in PyTorch by default

qix

Machine Learning、Deep Learning、PostgreSQL、Distributed System、Node.Js、Golang

reid-survey

Deep Learning for Person Re-identification: A Survey and Outlook

research_ideas

resume

An elegant \LaTeX\ résumé template. 大陆镜像 https://gods.coding.net/p/resume/git

ros-academy-for-beginners

**大学MOOC《机器人操作系统入门》代码示例 ROS tutorial

saim2

Repository for BERT based domain adaptation experiments using SAIM2

segloss

A collection of loss functions for medical image segmentation

segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

self-tuning

Code release for "Self-Tuning for Data-Efficient Deep Learning" (ICML 2021)

semantic-segmentation-tensorflow

Semantic segmentation task for ADE20k & cityscapse dataset, based on several models.

spring-framework

The Spring Framework

stanford_dl_ex

Programming exercises for the Stanford Unsupervised Feature Learning and Deep Learning Tutorial

surface-distance

Library to compute surface distance based performance metrics for segmentation tasks.

tensorflow

Computation using data flow graphs for scalable machine learning

tensorflow-101

中文的 tensorflow tutorial with jupyter notebooks

tensorflow-examples

TensorFlow Tutorial and Examples for beginners

tensorflow-mnist-vae

Tensorflow implementation of variational auto-encoder for MNIST

tensorflow-vae

TF Implementation of Convolutional Variational Autoencoder.

tensorflow-vgg

VGG19 and VGG16 on Tensorflow

tf-dcgan

DCGAN implementation by TensorFlow

tf-stanford-tutorials

This repository contains code examples for the course CS 20SI: TensorFlow for Deep Learning Research.

tflearn

Deep learning library featuring a higher-level API for TensorFlow.