yuan776 Goto Github PK

studybook

Study E-Book(ComputerVision DeepLearning MachineLearning Math NLP Python ReinforcementLearning)

supervisely-tutorials

🌈 Tutorials for Supervise.ly

svm-pytorch

Linear SVM with PyTorch

svm-w-smo

Simple implementation of a Support Vector Machine using the Sequential Minimal Optimization (SMO) algorithm for training.

svm.smo

synapse

Samples for Azure Synapse Analytics

tasktiger

Python task queue. Because celery is gross.

tensorflow-course

Simple and ready-to-use tutorials for TensorFlow

tensorflow-rl-pong

Pong AI trained using policy gradient-based reinforcement learning

tensorflow-triplet-loss

Implementation of triplet loss in TensorFlow

tensorflow_basic_tutorial

tensorflow_practice

tensorflow实战练习，包括强化学习、推荐系统、nlp等

texture-vs-shape

Pre-trained models, data, code & materials from the paper "ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness" (ICLR 2019 Oral)

the-super-tiny-compiler

:snowman: Possibly the smallest compiler ever

tinderbox

Automate Tinder swiping and introductions with Eigenfaces and StanfordNLP. NOTE: support for this project has been sunset, and the original author has since directed efforts towards Bernie AI.

torchcrf

An Inplementation of CRF (Conditional Random Fields) in PyTorch 1.0

torchnca

A PyTorch implementation of Neighbourhood Components Analysis.

toronto-csc321

My coursework of Toronto Intro to Neural Networks and Machine Learning (http://www.cs.toronto.edu/~rgrosse/courses/csc321_2018/)

tpot

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

transfer-rec

PyTorch Implementation for a series of Deep Learning-Based Recommendation Models

transformer-tensorflow

Implementation of Transformer Model in Tensorflow

transformer-time-series-forecasting

transito-cv

Traffic sign detector and classifier that uses dlib and its implementation of the Felzenszwalb's version of the Histogram of Oriented Gradients (HoG) detector

triplet-loss

Fine tune and train a CNN pre-trained on Imagenet dataset, using Triplet Loss

triplet_recommendations_keras

An example of doing MovieLens recommendations using triplet loss in Keras

tripletnet

Image retrieval with triplet loss

tutorial

udacity-self-driving-car-nanodegree

Repository for Pojects Completed by Yuesong Xie

ultrasound-nerve-segmentation

unet

unet for image segmentation