{"payload":{"pageCount":2,"repositories":[{"type":"Public","name":"nndichromacy","owner":"sinzlab","isFork":false,"description":"Understanding color processing in vouse V1 using Deep Neural Networks. In collaboration with Katrin Franke and the BCM.","allTopics":["neuroscience","deep-learning"],"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":1,"issueCount":0,"starsCount":7,"forksCount":7,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-09-03T22:24:47.842Z"}},{"type":"Public","name":"noise_correlation_vit","owner":"sinzlab","isFork":false,"description":"","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":0,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-08-20T07:41:19.601Z"}},{"type":"Public","name":"sensorium","owner":"sinzlab","isFork":false,"description":"Code base for the SENSORIUM competition.","allTopics":["benchmark","visual-cortex","neural-prediction","neural-system-identification"],"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":0,"issueCount":8,"starsCount":55,"forksCount":29,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-08-08T16:35:39.444Z"}},{"type":"Public","name":"dsplotter","owner":"sinzlab","isFork":false,"description":"","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":0,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-07-29T14:53:38.402Z"}},{"type":"Public","name":"nnidentify","owner":"sinzlab","isFork":false,"description":"Neural System Identification with Deep Neural Networks","allTopics":[],"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":0,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-07-20T18:05:01.188Z"}},{"type":"Public","name":"mei","owner":"sinzlab","isFork":false,"description":"Visualize features cells are responsive to via gradient ascent.","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":5,"issueCount":1,"starsCount":6,"forksCount":7,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-07-16T20:20:39.562Z"}},{"type":"Public","name":"neuralpredictors","owner":"sinzlab","isFork":false,"description":"Machine Learning Utils of Sinzlab","allTopics":[],"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":1,"issueCount":9,"starsCount":26,"forksCount":43,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-07-10T10:56:12.178Z"}},{"type":"Public","name":"hlrn-access","owner":"sinzlab","isFork":false,"description":"Onboarding to NHR/HLRN cluster usage","allTopics":["how-to"],"primaryLanguage":{"name":"Shell","color":"#89e051"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":0,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-06-13T08:49:48.645Z"}},{"type":"Public","name":"sensorium_internal","owner":"sinzlab","isFork":true,"description":"Code base for the SENSORIUM competition.","allTopics":[],"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":29,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-05-10T22:29:07.114Z"}},{"type":"Public","name":"nnvision","owner":"sinzlab","isFork":false,"description":"Envisioning the biological visual system with deep neural networks. ","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":2,"issueCount":2,"starsCount":3,"forksCount":9,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-05-08T22:44:52.484Z"}},{"type":"Public","name":"nnfabrik","owner":"sinzlab","isFork":false,"description":"A generalized model fitting pipeline that houses models, trainers, and datasets in datajoint and returns as well as stores trained models.","allTopics":[],"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":3,"issueCount":17,"starsCount":17,"forksCount":23,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-04-09T09:03:20.331Z"}},{"type":"Public","name":"datajoint-link","owner":"sinzlab","isFork":false,"description":"","allTopics":["database","domain-driven-design","clean-architecture","datajoint"],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":3,"starsCount":1,"forksCount":2,"license":"GNU General Public License v3.0","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-03-18T16:02:40.475Z"}},{"type":"Public","name":"platypose","owner":"sinzlab","isFork":false,"description":"Official Implementation for \"Platypose: Calibrated Zero-Shot Multi-Hypothesis 3D Human Motion Estimation\"","allTopics":["human-pose-estimation","motion-estimation","pose-estimation","probabilistic-models","zero-shot-learning","diffusion-models","multi-hypothesis-pose-estimation"],"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":0,"issueCount":0,"starsCount":10,"forksCount":0,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-03-14T07:53:50.355Z"}},{"type":"Public","name":"energy-guided-diffusion","owner":"sinzlab","isFork":false,"description":"🥚 EnerGy Guided Diffusion for optimizing neurally exciting images","allTopics":["optimization","neuroscience","guidance","optimization-algorithms","diffusion","diffusion-models","probabilistic-machine-learning","insilico-stimuli"],"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":0,"issueCount":0,"starsCount":5,"forksCount":2,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2023-12-20T08:29:34.211Z"}},{"type":"Public","name":"nnsysident","owner":"sinzlab","isFork":false,"description":"System identification with Deep Neural Networks","allTopics":[],"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":1,"issueCount":0,"starsCount":1,"forksCount":2,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2023-11-28T17:00:27.559Z"}},{"type":"Public","name":"neural-sampling-neurips2023","owner":"sinzlab","isFork":false,"description":"Code for the paper Shrinivasan et al 2023, \"Taking the Taking the neural sampling code very seriously: A data-driven approach for evaluating generative models of the visual system\" published in NeurIPS 2023","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":1,"starsCount":0,"forksCount":1,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2023-10-27T15:26:40.970Z"}},{"type":"Public","name":"phd-thesis-template-uni-tuebingen","owner":"sinzlab","isFork":false,"description":"PhD thesis template for Uni Tübingen","allTopics":[],"primaryLanguage":{"name":"TeX","color":"#3D6117"},"pullRequestCount":0,"issueCount":0,"starsCount":2,"forksCount":1,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2023-10-14T17:08:35.556Z"}},{"type":"Public","name":"hlrn-slurm","owner":"sinzlab","isFork":false,"description":"","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":2,"forksCount":0,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2023-07-20T12:31:53.909Z"}},{"type":"Public","name":"datascience_git_demo","owner":"sinzlab","isFork":false,"description":"","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":1,"issueCount":0,"starsCount":0,"forksCount":1,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2023-06-05T11:33:30.114Z"}},{"type":"Public","name":"cGNF","owner":"sinzlab","isFork":false,"description":"This is the official code for calibration in multi-hypothesis human pose estimation","allTopics":["machine-learning","human-pose-estimation","lifting","pose-estimation","3d-pose-estimation","graph-neural-networks","probabilistic-machine-learning","miscalibration","probabilistic-pose-estimation","mulit-hypothesis","multi-hypothesis-pose-estimation"],"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":0,"issueCount":2,"starsCount":9,"forksCount":0,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2023-05-30T11:30:23.525Z"}},{"type":"Public","name":"HARD","owner":"sinzlab","isFork":false,"description":"Hard Augmentations for Robust Distillation","allTopics":[],"primaryLanguage":null,"pullRequestCount":0,"issueCount":0,"starsCount":1,"forksCount":0,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2023-05-24T08:29:08.042Z"}},{"type":"Public","name":"pytorch-singularity","owner":"sinzlab","isFork":false,"description":"","allTopics":[],"primaryLanguage":{"name":"Roff","color":"#ecdebe"},"pullRequestCount":1,"issueCount":0,"starsCount":2,"forksCount":4,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2023-04-27T12:39:14.886Z"}},{"type":"Public","name":"lurz_bashiri_iclr2023","owner":"sinzlab","isFork":false,"description":"","allTopics":[],"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":1,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2023-04-04T14:28:50.543Z"}},{"type":"Public","name":"pytorch-docker","owner":"sinzlab","isFork":false,"description":"Docker image for PyTorch based on nvidia/cuda images","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":14,"forksCount":9,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2023-02-20T15:16:39.397Z"}},{"type":"Public","name":"insilico-stimuli","owner":"sinzlab","isFork":false,"description":"A toolset for generating image stimuli for insilico experiments","allTopics":[],"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":0,"issueCount":3,"starsCount":4,"forksCount":5,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2023-02-01T18:29:15.443Z"}},{"type":"Public","name":"tue-slurm","owner":"sinzlab","isFork":false,"description":"Utility for working with Uni Tübingen Slurm Cluster","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":1,"issueCount":0,"starsCount":0,"forksCount":4,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2022-12-29T12:44:51.432Z"}},{"type":"Public","name":"cppn_for_invariances","owner":"sinzlab","isFork":false,"description":"Official implementation of the paper \"Learning Invariance Manifolds of Visual Sensory Neurons\".","allTopics":["cppn","disentanglement","visual-cortex","contrastive-learning","neural-invariances","invariance-manifold","most-exciting-input"],"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":0,"issueCount":1,"starsCount":0,"forksCount":1,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2022-12-20T11:21:36.219Z"}},{"type":"Public","name":"propose","owner":"sinzlab","isFork":false,"description":"PRObabilistic POSE estimation framework","allTopics":[],"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":0,"issueCount":0,"starsCount":3,"forksCount":0,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2022-10-20T12:10:46.627Z"}},{"type":"Public","name":"jinja-compose","owner":"sinzlab","isFork":false,"description":"Docker compose extension with Jinja based templating support. ","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":1,"issueCount":0,"starsCount":37,"forksCount":7,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2022-09-21T20:34:34.291Z"}},{"type":"Public","name":"nntransfer","owner":"sinzlab","isFork":false,"description":"Framework for transfer experiments. Builds on top of nnfabrik and neuralpredictors. ","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":2,"forksCount":4,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2022-09-09T12:27:31.477Z"}}],"repositoryCount":58,"userInfo":null,"searchable":true,"definitions":[],"typeFilters":[{"id":"all","text":"All"},{"id":"public","text":"Public"},{"id":"source","text":"Sources"},{"id":"fork","text":"Forks"},{"id":"archived","text":"Archived"},{"id":"template","text":"Templates"}],"compactMode":false},"title":"sinzlab repositories"}