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EPFL
- Lausanne
- albertochiappa.github.io
- in/albertochiappa
Highlights
- Pro
Stars
[Neuron 2024] Analysis of Baoding ball policy from MyoChallenge at NeurIPS 2022
AuctionNet: A Novel Benchmark for Decision-Making in Large-Scale Games
A collection of research and survey papers of real-time bidding (RTB) based display advertising techniques.
albertochiappa / rlcard
Forked from NiccoloSacchi/rlcardReinforcement Learning / AI Bots in Card (Poker) Games - Blackjack, Leduc, Texas, DouDizhu, Mahjong, UNO.
[NeurIPS 2023] Latent Exploration for Reinforcement Learning
Official Implementation of the ICCV 2023 paper: Perpetual Humanoid Control for Real-time Simulated Avatars
We turn natural language descriptions of behaviors into machine-executable code
Repository for 2023 myochallenge submissions
Official implementation of DeepLabCut: Markerless pose estimation of user-defined features with deep learning for all animals incl. humans
Repository for our ICLR 2023 paper: DEP-RL: Embodied Exploration for Reinforcement Learning in Overactuated and Musculoskeletal Systems
YAAC: Another Awesome CV is a template using Font Awesome and Adobe Source Font.
A tool to convert opensim 4.0+ MSK models into MuJoCo format with optimized muscle kinematics and kinetics
[ICCV 2023] "Rethinking pose estimation in crowds: overcoming the detection information-bottleneck and ambiguity"
Automatic extraction of relevant features from time series:
[NeurIPS 2022, Neuron 2024] Winning code for the Baoding ball MyoChallenge at NeurIPS 2022
[NeurIPS 2022] DMAP: a Distributed Morphological Attention Policy for Learning to Locomote with a Changing Body
A napari plugin for direct 3D cell segmentation -- taking you through training, inference, and review of masks
a napari plugin for labeling and refining keypoint data within DeepLabCut projects
Learnable latent embeddings for joint behavioral and neural analysis - Official implementation of CEBRA
Inofficial docker images for DeepLabCut (experimental)
SDK for running DeepLabCut on a live video stream
Code for the paper "Contrastive Learning Inverts the Data Generating Process".