ablattmann

ablattmann

Geek Repo

Location:Heidelberg/Munich

Home Page:andreas.blattmann@iwr.uni-heidelberg.de

Twitter:@andi_blatt

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Organizations
KITcar-Team

ablattmann's repositories

gan_stability-cvae

Testing and Comparing some recently published regularization techniques such as https://arxiv.org/abs/1801.04406, https://arxiv.org/abs/1802.05957, https://arxiv.org/abs/1810.00821 and a simple cvae-implementation in order to get experiences with variational-bayes-approaches in image generation

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GTAVisionExport

Code to export full segmentations from GTA

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AlphaPose

Real-Time and Accurate Multi-Person Pose Estimation&Tracking System

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Auto_Conditioned_RNN_motion

Implementation of Auto-Conditioned Recurrent Networks for Extended Complex Human Motion Synthesis

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clip-retrieval

Easily compute clip embeddings and build a clip retrieval system with them

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deep_sort_yolov3

Real-time Multi-person tracker using YOLO v3 and deep_sort with tensorflow

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edflow

Reduce boilerplate code for your ML projects. TensorFlow and PyTorch.

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Folder-Structure-Conventions

Folder / directory structure options and naming conventions for software projects

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human-motion-prediction

Simple baselines and RNNs for predicting human motion in tensorflow. Presented at CVPR 17.

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img2dataset

Easily turn large sets of image urls to an image dataset. Can download, resize and package 100M urls in 20h on one machine.

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models

Models and examples built with TensorFlow

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open_clip

An open source implementation of CLIP.

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sbord

The streamlit based alternative to tensorboard.

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score_sde_pytorch

PyTorch implementation for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)

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tensorflow

An Open Source Machine Learning Framework for Everyone

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tf-cpn

a tensorflow implementation of CPN (Cascaded Pyramid Network for Multi-Person Pose Estimation)

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TF-SimpleHumanPose

TensorFlow implementation of "Simple Baselines for Human Pose Estimation and Tracking", ECCV 2018

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vgan

Code for image generation of Variational Discriminator Bottleneck: Improving Imitation Learning, Inverse RL, and GANs by Constraining Information Flow

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