julienyulinma Goto Github PK

fire-smoke-detect-yolov4

fire-smoke-detect-yolov4-yolov5 and fire-smoke-detection-dataset 火灾检测，烟雾检测

flops-counter.pytorch

Flops counter for convolutional networks in pytorch framework

flow-vae

Variational Autoencoder (VAE) with Normalizing Flows

fly_us

美国大学备考资料 How to apply US colleges

fr-attsys

人脸识别算法测试系统——Multiple Face Recognition Algorithms Test System

free-programming-books

:books: Freely available programming books

gans

Generative Adversarial Networks implemented in PyTorch and Tensorflow

gans-in-action

Companion repository to GANs in Action: Deep learning with Generative Adversarial Networks

gatedfeedback-lstm.pytorch

A Straightforward Pytorch Implementation of Gated Feedback RNNs

gaussianpooling

Gaussian-Based Pooling for Convolutional Neural Networks

getting-things-done-with-pytorch

Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT.

gre_laylalaisy

Toefl的姊妹篇lol GRE的一些资料~ 祝小可爱和大佬们早日和GRE巨型怪兽分手(o゜▽゜)o☆

guided-denoise

The winning submission for NIPS 2017: Defense Against Adversarial Attack of team TSAIL

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

harvard-cs50

Problem sets and projects for Harvard CS50: Introduction to Computer Science

how_to_do_style_transfer_in_tensorflow

humpback-whale-identification-challenge

5th Winning solution for Humpback whale identification

imbalanced-semi-self

[NeurIPS 2020] Semi-Supervision (Unlabeled Data) & Self-Supervision Improve Class-Imbalanced / Long-Tailed Learning

in_is_tee_one

isl_python

An Introduction to Statistical Learning with Applications in PYTHON

islr-python

An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code

jcsprout

👨‍🎓 Java Core Sprout : basic, concurrent, algorithm

jdda-master

Joint Domain Alignment and Discriminative Feature Learning for Unsupervised Deep Domain Adaptation（AAAI-2019）

julienyulinma.github.io

Home page of Zhibin Zhao:

kalman-and-bayesian-filters-in-python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

keras-grad-cam

An implementation of Grad-CAM with keras

keras-vis

Neural network visualization toolkit for keras

label-noise-papers

An update-to-date list for papers related with label-noise representation learning is here.

learning-area

Github repo for the MDN Learning Area.

libtlda

Library of transfer learners and domain-adaptive classifiers.