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dlwpt-code

Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.

dsod

DSOD: Learning Deeply Supervised Object Detectors from Scratch. In ICCV 2017.

eachday

edges

Structured Edge Detection Toolbox

epro-pnp

[CVPR 2022 Oral, Best Student Paper] EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for Monocular Object Pose Estimation

erp-prediction-contest

Team Jonas contribution to ERP Prediction Contest, February 15, 2019 - May 15, 2019

fast-rcnn

Fast R-CNN

faster_rcnn

Faster R-CNN

fcos

FCOS: Fully Convolutional One-Stage Object Detection (ICCV'19)

few_shot_gaze

Pytorch implementation and demo of FAZE: Few-Shot Adaptive Gaze Estimation (ICCV 2019, oral)

flow-guided-feature-aggregation

Flow-Guided Feature Aggregation for Video Object Detection

frame_prediction_cgan

Interpolate and extrapolate video frames using cGAN

greentech.github.io

From 0 to 1

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

hatecode

data structure and algorithms in python

illustrated-csharp-2012

Source code for 'Illustrated C# 2012' by Daniel Solis

imaging-time-series-to-improve-classification-and-imputation

Python 3.6+ (only)

incubator-mxnet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

introduction-to-data-science

本Repository为**人民大学朝乐门老师开源课程——《数据科学导论》

itu.algs4

Python 3 port of the Java code in the textbook Algorithms, 4th Edition.

jupyter-for-data-science

Jupyter for Data Science, published by Packt

labelimg

:metal: LabelImg is a graphical image annotation tool and label object bounding boxes in images

leetcode

LeetCode Problems' Solutions

lstm-fcn

Codebase for the paper LSTM Fully Convolutional Networks for Time Series Classification

lstm-human-activity-recognition

Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN (Deep Learning algo). Classifying the type of movement amongst six activity categories - Guillaume Chevalier

lstm-neural-network-for-time-series-prediction

LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data

maml

Code for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"

maml-pytorch

Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)

mastering-opencv-4-third-edition

Mastering OpenCV 4, Third Edition, published by Packt publishing

mcg

Multiscale Combinatorial Grouping - State-of-the-art Object Proposals