Forrest-Gan's starred repositories

DeepLearning-500-questions

深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系scutjy2015@163.com 版权所有,违权必究 Tan 2018.06

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interviews.ai

It is my belief that you, the postgraduate students and job-seekers for whom the book is primarily meant will benefit from reading it; however, it is my hope that even the most experienced researchers will find it fascinating as well.

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lc-all-solutions

My own leetcode solutions by python

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monodepth2

[ICCV 2019] Monocular depth estimation from a single image

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awesome-activity-prediction

Paper list of activity prediction and related area

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models

Models and examples built with TensorFlow

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mit-deep-learning

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

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mmsegmentation

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

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zhusuan

A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow

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Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

Clone of book Probabilistic Programming and Bayesian Methods for Hackers by CamDavidsonPilon

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boxmot

BoxMOT: pluggable SOTA tracking modules for segmentation, object detection and pose estimation models

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deep_sort

Simple Online Realtime Tracking with a Deep Association Metric

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sort

Simple, online, and realtime tracking of multiple objects in a video sequence.

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vehicle-speed-estimation

Vehicle Speed Estimation from Video using Deep Learning and Optical Flow in PyTorch.

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ciwt

This repository contains code for the tracking system as described in ''Combined Image- and World-Space Tracking in Traffic Scenes'', ICRA 2017.

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multi-object-tracking-paper-list

Paper list and source code for multi-object-tracking

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URVP

Full implementation of Unstructured Road Vanishing Point Detection Using the Convolutional Neural Networks and Heatmap Regression Method

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vanishing-point-detection

Find the vanishing point of an image

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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 ;)

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pgmpy

Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in Bayesian Networks.

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PWC-Net

PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume, CVPR 2018 (Oral)

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mobilenetv3

mobilenetv3 with pytorch,provide pre-train model

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Iterative-Visual-Reasoning.pytorch

Reimplementation for Iterative Visual Reasoning Beyond Convolutions(CVPR2018),i've reimplemented it on pytorch according to [endernewton/iter-reason](https://github.com/endernewton/iter-reason).

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sam

Predicting Human Eye Fixations via an LSTM-based Saliency Attentive Model. IEEE Transactions on Image Processing (2018)

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Anticipating-Accidents

Anticipating Accidents in Dashcam Videos (ACCV 2016)

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HANet

Official PyTorch implementation of HANet (CVPR 2020)

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ResNeSt

ResNeSt: Split-Attention Networks

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nn-brain

Tutorial codes for modeling brains with neural nets

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