{"payload":{"pageCount":1,"repositories":[{"type":"Public","name":"fusion","owner":"jpmorganchase","isFork":false,"description":"PyFusion is the Python SDK for the Fusion platform API.","allTopics":["jpmorgan","cib"],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":1,"issueCount":2,"starsCount":13,"forksCount":17,"license":"Other","participation":[1,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,5,3,0,2,3,1,1,12,0,10,5,0,0,0,0,0,3,7,4,6,4,7,6,0,12,2,10,1,4,1,0,8,5,1],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-06-02T13:36:23.935Z"}},{"type":"Public","name":"nbcelltests","owner":"jpmorganchase","isFork":false,"description":"Cell-by-cell testing for production Jupyter notebooks in JupyterLab","allTopics":["pytest","jupyter-notebooks","unittesting","papermill","jpmorganchase","testing","jupyter","jupyter-notebook","jupyterlab","jupyterlab-extension"],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":1,"issueCount":30,"starsCount":82,"forksCount":21,"license":"Apache License 2.0","participation":[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,30],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-06-01T03:46:55.107Z"}},{"type":"Public","name":"py-avro-schema","owner":"jpmorganchase","isFork":false,"description":"Generate Apache Avro schemas for Python types including standard library data-classes and Pydantic data models.","allTopics":["serialization","data","schema","kafka","types","avro","messaging","generate","deserialization","dataclasses","pydantic","jpmorganchase","python"],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":33,"forksCount":6,"license":"Apache License 2.0","participation":[0,0,9,5,0,0,0,0,0,0,0,0,0,0,18,0,0,9,0,4,5,4,10,34,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,10,2,0,0,0,0,0,0,0,5,2],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-05-27T13:32:36.280Z"}},{"type":"Public","name":"dropout-rashomon-set-exploration","owner":"jpmorganchase","isFork":false,"description":"JPMorganChase Global Technology Aplied Research dropout rashomon set exploration project","allTopics":["cto","jpmorganchase","gt-applied-research"],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":4,"issueCount":0,"starsCount":1,"forksCount":0,"license":"Apache License 2.0","participation":[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-05-21T07:54:06.993Z"}},{"type":"Public","name":"QOKit","owner":"jpmorganchase","isFork":false,"description":"QOKit","allTopics":["jpmorganchase","gt-applied-research"],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":4,"issueCount":7,"starsCount":31,"forksCount":14,"license":"Apache License 2.0","participation":[0,0,0,0,0,0,0,0,3,1,0,0,5,14,2,16,39,2,2,55,18,2,7,3,2,3,0,4,0,0,2,4,2,7,8,5,1,3,0,5,1,0,5,2,0,2,0,6,2,0,0,0],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-05-14T18:33:19.225Z"}},{"type":"Public","name":"cv4code","owner":"jpmorganchase","isFork":false,"description":"CV4Code - Sourcecode Understanding via Visual Code Representations","allTopics":["jpmorganchase"],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":2,"issueCount":0,"starsCount":4,"forksCount":2,"license":"Apache License 2.0","participation":[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-05-03T20:31:36.621Z"}},{"type":"Public","name":"Phantom","owner":"jpmorganchase","isFork":false,"description":"A Multi-agent reinforcement-learning simulator framework.","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":6,"issueCount":4,"starsCount":53,"forksCount":12,"license":"Apache License 2.0","participation":[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-04-29T10:10:47.624Z"}},{"type":"Public","name":"porting-advisor-for-graviton","owner":"jpmorganchase","isFork":true,"description":"","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":2,"forksCount":25,"license":"Apache License 2.0","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-04-16T21:08:42.021Z"}},{"type":"Public","name":"inference-server","owner":"jpmorganchase","isFork":false,"description":"Deploy your AI/ML model to Amazon SageMaker for Real-Time Inference and Batch Transform using your own Docker container image.","allTopics":["python","docker","machine-learning","inference","artificial-intelligence","http-server","wsgi-application","sagemaker","jpmorganchase"],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":29,"forksCount":7,"license":"Apache License 2.0","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-04-12T10:13:17.096Z"}},{"type":"Public","name":"ovor","owner":"jpmorganchase","isFork":false,"description":"GTAR OVOR Project","allTopics":["jpmorganchase","gt-applied-research"],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":6,"forksCount":0,"license":"Apache License 2.0","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-04-08T18:18:56.542Z"}},{"type":"Public","name":"py-adapter","owner":"jpmorganchase","isFork":false,"description":"Round-trip serialization/deserialization of any Python object to/from any serialization format including Avro and JSON.","allTopics":["adapter","serialization","json","avro","deserialization","dataclasses","pydantic","jpmorganchase"],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":5,"forksCount":2,"license":"Apache License 2.0","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-03-15T15:53:14.274Z"}},{"type":"Public","name":"i2i_clean-fid","owner":"jpmorganchase","isFork":true,"description":"i2i-generator-unlearning - PyTorch - FID calculation with proper image resizing and quantization steps [CVPR 2022]","allTopics":["gt-applied-research","i2i-generator-unlearning"],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":1,"issueCount":0,"starsCount":0,"forksCount":66,"license":"MIT License","participation":[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-05-02T22:53:14.664Z"}},{"type":"Public archive","name":"jpmc-qcware-deephedging","owner":"jpmorganchase","isFork":false,"description":"JPMC & QCWare Quantum Deep Hedging","allTopics":["jpmorganchase","gt-applied-research"],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":2,"issueCount":0,"starsCount":5,"forksCount":0,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-02-06T01:21:14.205Z"}},{"type":"Public","name":"kallisti-core","owner":"jpmorganchase","isFork":false,"description":"Core functionality of Kallisti Chaos Engineering Framework","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":1,"issueCount":0,"starsCount":7,"forksCount":7,"license":"Apache License 2.0","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-02-01T11:17:11.619Z"}},{"type":"Public","name":"kallisti","owner":"jpmorganchase","isFork":false,"description":"Chaos Engineering Framework across Private / Public / Hybrid Cloud Environments","allTopics":["chaos-engineering","jpmorganchase"],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":11,"forksCount":6,"license":"Apache License 2.0","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-02-01T11:16:52.636Z"}},{"type":"Public","name":"bt","owner":"jpmorganchase","isFork":true,"description":"bt - flexible backtesting for Python","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":1,"issueCount":0,"starsCount":34,"forksCount":404,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2023-09-11T07:33:59.588Z"}},{"type":"Public","name":"i2i_Palette-Image-to-Image-Diffusion-Models","owner":"jpmorganchase","isFork":true,"description":"i2i-generator-unlearning - Unofficial implementation of Palette: Image-to-Image Diffusion Models by Pytorch","allTopics":["gt-applied-research","i2i-generator-unlearning"],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":189,"license":"MIT License","participation":[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-05-03T15:53:50.623Z"}},{"type":"Public","name":"llm-email-spam-detection","owner":"jpmorganchase","isFork":false,"description":"LLM for Email Spam Detection","allTopics":["spam-detection","jpmorganchase","large-language-models","llm","applied-innovation-of-ai"],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":1,"issueCount":0,"starsCount":59,"forksCount":10,"license":"Apache License 2.0","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2023-06-26T12:27:26.936Z"}},{"type":"Public","name":"i2i_mage","owner":"jpmorganchase","isFork":true,"description":"i2i-generator-unlearning - A PyTorch implementation of MAGE: MAsked Generative Encoder to Unify Representation Learning and Image Synthesis","allTopics":["gt-applied-research","i2i-generator-unlearning"],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":25,"license":"MIT License","participation":[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-05-03T15:51:14.260Z"}},{"type":"Public","name":"SFinX","owner":"jpmorganchase","isFork":false,"description":"Standardized FINancial eXtractions","allTopics":["finance","tool","tabular-data","unified","jpmorganchase"],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":11,"forksCount":5,"license":"Apache License 2.0","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2022-04-28T00:12:05.556Z"}},{"type":"Public archive","name":"opencell","owner":"jpmorganchase","isFork":false,"description":"Spreadsheets 3.0","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":1,"issueCount":0,"starsCount":18,"forksCount":13,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2020-06-20T14:54:52.009Z"}}],"repositoryCount":21,"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":"Repositories"}