{"payload":{"pageCount":14,"repositories":[{"type":"Public","name":"cccl","owner":"NVIDIA","isFork":false,"description":"CUDA C++ Core Libraries","topicNames":["modern-cpp","parallel-computing","gpu-acceleration","cuda-kernels","gpu-computing","parallel-algorithm","parallel-programming","nvidia-gpu","gpu-programming","cuda-library"],"topicsNotShown":9,"primaryLanguage":{"name":"C++","color":"#f34b7d"},"pullRequestCount":28,"issueCount":598,"starsCount":821,"forksCount":106,"license":"Other","participation":[25,50,190,95,4,97,38,13,54,16,26,29,28,40,18,14,18,25,42,29,20,56,27,14,34,12,14,10,14,8,13,1,1,3,2,16,8,4,10,13,13,21,18,11,7,7,10,22,12,3,14,20],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-05-13T23:39:13.861Z"}},{"type":"Public","name":"NVFlare","owner":"NVIDIA","isFork":false,"description":"NVIDIA Federated Learning Application Runtime Environment","topicNames":["python"],"topicsNotShown":0,"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":12,"issueCount":20,"starsCount":544,"forksCount":145,"license":"Apache License 2.0","participation":[4,7,15,10,6,8,1,9,10,10,10,12,12,11,13,11,12,12,27,19,4,5,7,14,16,16,6,6,14,10,11,19,4,8,14,5,9,13,5,1,3,3,6,1,12,1,13,9,16,1,12,10],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-05-13T23:35:09.555Z"}},{"type":"Public","name":"NeMo","owner":"NVIDIA","isFork":false,"description":"A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)","topicNames":["machine-translation","tts","speech-synthesis","neural-networks","deeplearning","speaker-recognition","asr","multimodal","speech-translation","large-language-models"],"topicsNotShown":2,"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":72,"issueCount":58,"starsCount":10186,"forksCount":2164,"license":"Apache License 2.0","participation":[22,18,22,23,9,15,22,8,22,17,11,16,23,19,16,23,26,9,18,32,26,22,15,19,8,7,12,6,6,11,17,12,4,10,20,22,20,9,15,33,19,38,20,37,28,7,28,35,25,25,37,30],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-05-13T23:28:20.980Z"}},{"type":"Public","name":"cuda-quantum","owner":"NVIDIA","isFork":false,"description":"C++ and Python support for the CUDA Quantum programming model for heterogeneous quantum-classical workflows","topicNames":["python","cpp","quantum","quantum-computing","quantum-programming-language","quantum-algorithms","quantum-machine-learning","unitaryhack"],"topicsNotShown":0,"primaryLanguage":{"name":"C++","color":"#f34b7d"},"pullRequestCount":34,"issueCount":220,"starsCount":378,"forksCount":112,"license":"Other","participation":[18,13,14,15,3,17,21,33,18,38,20,3,22,25,5,11,20,11,10,19,18,7,21,15,23,16,30,5,14,15,8,13,3,5,7,13,12,14,16,15,15,20,27,17,24,9,13,5,12,12,13,28],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-05-13T23:25:14.829Z"}},{"type":"Public","name":"TransformerEngine","owner":"NVIDIA","isFork":false,"description":"A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit floating point (FP8) precision on Hopper and Ada GPUs, to provide better performance with lower memory utilization in both training and inference.","topicNames":["python","machine-learning","deep-learning","gpu","cuda","pytorch","jax","fp8"],"topicsNotShown":0,"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":32,"issueCount":105,"starsCount":1462,"forksCount":226,"license":"Apache License 2.0","participation":[3,6,4,9,8,9,6,2,10,11,4,5,11,8,4,2,3,1,9,6,8,12,7,6,3,6,9,3,9,8,12,1,0,8,8,11,10,13,6,6,6,6,8,5,7,3,13,4,14,6,13,4],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-05-13T23:08:43.975Z"}},{"type":"Public","name":"Fuser","owner":"NVIDIA","isFork":false,"description":"A Fusion Code Generator for NVIDIA GPUs (commonly known as \"nvFuser\")","topicNames":[],"topicsNotShown":0,"primaryLanguage":{"name":"C++","color":"#f34b7d"},"pullRequestCount":94,"issueCount":209,"starsCount":225,"forksCount":41,"license":"Other","participation":[27,17,21,17,10,20,16,15,20,28,14,13,25,23,31,23,17,12,45,37,25,20,31,31,33,32,42,34,44,34,41,7,3,16,27,11,16,16,25,15,36,23,19,41,28,10,29,11,37,25,19,22],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-05-13T23:08:00.624Z"}},{"type":"Public","name":"NeMo-Framework-Launcher","owner":"NVIDIA","isFork":false,"description":"NeMo Megatron launcher and tools","topicNames":[],"topicsNotShown":0,"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":10,"issueCount":20,"starsCount":397,"forksCount":115,"license":"Apache License 2.0","participation":[8,12,39,10,7,8,3,5,6,17,9,14,11,10,12,5,17,18,9,0,9,35,7,7,9,4,16,12,21,22,36,22,4,19,22,25,24,15,58,23,31,27,28,40,5,5,14,18,19,19,5,16],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-05-13T23:06:41.615Z"}},{"type":"Public","name":"spark-rapids-tools","owner":"NVIDIA","isFork":false,"description":"User tools for Spark RAPIDS","topicNames":[],"topicsNotShown":0,"primaryLanguage":{"name":"Scala","color":"#c22d40"},"pullRequestCount":10,"issueCount":183,"starsCount":41,"forksCount":33,"license":"Apache License 2.0","participation":[5,12,5,4,0,3,7,6,13,2,9,2,2,9,6,7,8,9,4,8,2,6,5,4,7,2,4,2,3,4,3,2,6,2,5,3,6,9,3,5,5,5,1,4,5,11,11,14,8,6,10,6],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-05-13T23:03:37.283Z"}},{"type":"Public","name":"spark-rapids","owner":"NVIDIA","isFork":false,"description":"Spark RAPIDS plugin - accelerate Apache Spark with GPUs","topicNames":["big-data","gpu","rapids","spark"],"topicsNotShown":0,"primaryLanguage":{"name":"Scala","color":"#c22d40"},"pullRequestCount":15,"issueCount":1272,"starsCount":727,"forksCount":215,"license":"Apache License 2.0","participation":[20,46,42,34,16,10,15,10,18,17,42,32,54,29,15,19,20,11,21,38,23,14,22,33,24,15,55,36,47,33,35,9,27,18,14,7,34,40,19,22,10,17,19,10,8,6,12,13,5,11,7,16],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-05-13T22:56:41.720Z"}},{"type":"Public","name":"NeMo-Aligner","owner":"NVIDIA","isFork":false,"description":"Scalable toolkit for efficient model alignment","topicNames":[],"topicsNotShown":0,"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":16,"issueCount":38,"starsCount":267,"forksCount":29,"license":"Apache License 2.0","participation":[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,4,7,8,7,1,3,1,0,3,0,7,0,2,1,0,4,3,3,2,2,3,3,4,2,5,0],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-05-13T22:44:45.459Z"}},{"type":"Public","name":"k8s-dra-driver","owner":"NVIDIA","isFork":false,"description":"Dynamic Resource Allocation (DRA) for NVIDIA GPUs in Kubernetes","topicNames":[],"topicsNotShown":0,"primaryLanguage":{"name":"Go","color":"#00ADD8"},"pullRequestCount":9,"issueCount":14,"starsCount":169,"forksCount":30,"license":"Apache License 2.0","participation":[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,25,20,24,0,18,0,13,25,2,0,27,0,0,3,0,1,0,0,0,24,1,1,9,1,8,11,9,1,2,1,1,5,3,0,11],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-05-13T22:25:44.082Z"}},{"type":"Public","name":"Megatron-LM","owner":"NVIDIA","isFork":false,"description":"Ongoing research training transformer models at scale","topicNames":["transformers","model-para","large-language-models"],"topicsNotShown":0,"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":126,"issueCount":293,"starsCount":8771,"forksCount":1963,"license":"Other","participation":[19,31,26,36,5,10,19,40,36,43,22,43,23,73,67,38,46,51,30,51,88,122,136,91,44,36,76,22,34,46,38,42,9,19,40,46,62,43,26,18,12,18,27,54,67,57,61,71,46,10,37,14],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-05-13T22:05:06.109Z"}},{"type":"Public","name":"JAX-Toolbox","owner":"NVIDIA","isFork":false,"description":"JAX-Toolbox","topicNames":[],"topicsNotShown":0,"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":36,"issueCount":109,"starsCount":179,"forksCount":34,"license":"Apache License 2.0","participation":[60,53,11,6,3,5,10,6,8,15,4,7,5,6,12,12,3,9,7,9,13,15,4,9,7,6,3,9,6,8,5,8,0,11,15,7,14,11,13,15,9,19,10,10,3,5,3,11,5,1,16,6],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-05-13T21:48:26.799Z"}},{"type":"Public","name":"MatX","owner":"NVIDIA","isFork":false,"description":"An efficient C++17 GPU numerical computing library with Python-like syntax","topicNames":["hpc","gpu","cuda","gpgpu","gpu-computing"],"topicsNotShown":0,"primaryLanguage":{"name":"C++","color":"#f34b7d"},"pullRequestCount":5,"issueCount":28,"starsCount":1116,"forksCount":73,"license":"BSD 3-Clause \"New\" or \"Revised\" License","participation":[1,5,4,5,0,1,1,9,6,14,13,9,3,2,1,8,6,0,4,4,5,1,2,3,5,3,2,2,1,8,7,1,1,8,14,3,1,1,1,3,2,0,3,6,3,1,4,2,0,2,4,0],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-05-13T21:43:59.173Z"}},{"type":"Public","name":"NeMo-Curator","owner":"NVIDIA","isFork":false,"description":"Scalable toolkit for data curation","topicNames":[],"topicsNotShown":0,"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":6,"issueCount":15,"starsCount":245,"forksCount":23,"license":"Apache License 2.0","participation":[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,4,2,4,1,1,5,4,4],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-05-13T21:40:46.614Z"}},{"type":"Public","name":"spark-rapids-ml","owner":"NVIDIA","isFork":false,"description":"Spark RAPIDS MLlib – accelerate Apache Spark MLlib with GPUs","topicNames":[],"topicsNotShown":0,"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":1,"issueCount":24,"starsCount":52,"forksCount":29,"license":"Apache License 2.0","participation":[2,9,2,16,4,8,10,2,6,2,15,4,12,26,18,14,14,2,1,6,4,8,6,10,13,18,4,0,4,2,0,0,2,12,1,0,3,4,2,4,8,2,9,3,0,2,6,12,16,2,4,16],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-05-13T21:40:13.826Z"}},{"type":"Public","name":"spark-rapids-jni","owner":"NVIDIA","isFork":false,"description":"RAPIDS Accelerator JNI For Apache Spark","topicNames":[],"topicsNotShown":0,"primaryLanguage":{"name":"Cuda","color":"#3A4E3A"},"pullRequestCount":5,"issueCount":66,"starsCount":32,"forksCount":54,"license":"Apache License 2.0","participation":[17,25,20,19,9,13,11,8,14,9,29,13,17,15,15,15,14,9,13,43,16,19,13,15,7,9,18,26,17,28,19,7,1,9,13,13,30,18,18,16,13,14,23,14,9,22,9,36,16,16,13,8],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-05-13T21:30:54.719Z"}},{"type":"Public","name":"workbench-example-hybrid-rag","owner":"NVIDIA","isFork":false,"description":"An NVIDIA AI Workbench example project for Retrieval Augmented Generation (RAG)","topicNames":[],"topicsNotShown":0,"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":1,"issueCount":3,"starsCount":40,"forksCount":98,"license":"Apache License 2.0","participation":[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,8,0,0,0,0,0,0,0,0],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-05-13T21:15:41.860Z"}},{"type":"Public","name":"holodeck","owner":"NVIDIA","isFork":false,"description":"Holodeck is a project to create test environments optimised for GPU projects.","topicNames":[],"topicsNotShown":0,"primaryLanguage":{"name":"Go","color":"#00ADD8"},"pullRequestCount":3,"issueCount":4,"starsCount":5,"forksCount":3,"license":"Apache License 2.0","participation":[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,9,0,11,6,0,7,8,2,24,0,0,2,0,0,0,0,0,10],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-05-13T20:39:27.308Z"}},{"type":"Public","name":"earth2studio","owner":"NVIDIA","isFork":false,"description":"Open-source deep-learning framework for exploring, building and deploying AI weather/climate workflows.","topicNames":["weather","ai","deep-learning","climate-science"],"topicsNotShown":0,"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":1,"issueCount":3,"starsCount":15,"forksCount":4,"license":"Apache License 2.0","participation":[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,20,10,5,2,9],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-05-13T20:15:18.115Z"}},{"type":"Public","name":"kata-containers","owner":"NVIDIA","isFork":true,"description":"Kata containers is an implementation of lightweight Virtual Machines (VMs) that feel and perform like containers, but provide the workload isolation and security advantages of VMs.","topicNames":[],"topicsNotShown":0,"primaryLanguage":{"name":"Rust","color":"#dea584"},"pullRequestCount":7,"issueCount":0,"starsCount":2,"forksCount":986,"license":"Apache License 2.0","participation":[70,55,37,21,47,35,40,73,116,82,88,79,82,76,70,75,72,122,67,47,45,41,52,53,45,49,44,56,40,80,66,40,36,28,47,31,50,103,87,47,45,77,54,35,62,40,59,23,7,0,0,0],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-05-13T20:13:16.384Z"}},{"type":"Public","name":"cloud-native-docs","owner":"NVIDIA","isFork":false,"description":"Documentation repository for NVIDIA Cloud Native Technologies","topicNames":["kubernetes","containers","kubernetes-operator"],"topicsNotShown":0,"primaryLanguage":{"name":"CSS","color":"#563d7c"},"pullRequestCount":4,"issueCount":3,"starsCount":12,"forksCount":12,"license":"Apache License 2.0","participation":[0,4,2,20,22,4,2,12,10,9,2,16,2,2,4,15,9,4,5,9,8,2,12,6,2,0,4,0,8,14,8,2,6,0,10,7,10,15,12,6,1,1,18,5,2,3,5,2,7,10,35,1],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-05-13T19:48:12.102Z"}},{"type":"Public","name":"k8s-device-plugin","owner":"NVIDIA","isFork":false,"description":"NVIDIA device plugin for Kubernetes","topicNames":["kubernetes"],"topicsNotShown":0,"primaryLanguage":{"name":"Go","color":"#00ADD8"},"pullRequestCount":30,"issueCount":131,"starsCount":2438,"forksCount":571,"license":"Apache License 2.0","participation":[1,4,4,11,0,0,2,5,12,0,2,1,0,10,0,0,0,0,0,0,0,0,7,12,2,3,20,4,2,8,19,0,0,0,20,5,31,12,17,27,29,42,17,35,2,11,16,34,20,19,11,7],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-05-13T19:25:30.003Z"}},{"type":"Public","name":"framework-reproducibility","owner":"NVIDIA","isFork":false,"description":"Providing reproducibility in deep learning frameworks","topicNames":["seed","noise","reproducibility","seeder","noise-reduction","ngc","frameworks","variance-reduction","atomics","gpu-support"],"topicsNotShown":9,"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":3,"issueCount":10,"starsCount":419,"forksCount":39,"license":"Apache License 2.0","participation":[0,0,0,0,1,4,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-05-13T18:51:02.209Z"}},{"type":"Public","name":"cuCollections","owner":"NVIDIA","isFork":false,"description":"","topicNames":["datastructures","cpp","gpu","cuda","hashmap","cpp17","hashset","hashtable"],"topicsNotShown":0,"primaryLanguage":{"name":"C++","color":"#f34b7d"},"pullRequestCount":14,"issueCount":67,"starsCount":420,"forksCount":73,"license":"Apache License 2.0","participation":[1,3,0,1,1,1,6,2,2,1,1,6,1,1,4,3,3,2,0,2,3,4,1,0,1,0,4,4,1,1,2,7,0,4,1,2,3,4,1,2,0,0,0,4,3,0,3,3,3,1,1,3],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-05-13T18:48:27.176Z"}},{"type":"Public","name":"aistore","owner":"NVIDIA","isFork":false,"description":"AIStore: scalable storage for AI applications","topicNames":["object-storage","multiple-backends","distributed-shuffle","deploy-anywhere","linear-scalability","etl-offload","small-file-datasets","network-of-clusters"],"topicsNotShown":0,"primaryLanguage":{"name":"Go","color":"#00ADD8"},"pullRequestCount":0,"issueCount":0,"starsCount":1110,"forksCount":141,"license":"MIT License","participation":[23,25,11,16,14,16,18,16,5,14,25,20,18,23,24,23,24,13,23,22,18,9,17,12,15,14,5,19,15,12,16,13,8,15,16,17,23,14,30,19,18,20,16,27,23,15,13,16,16,18,22,21],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-05-13T18:46:43.236Z"}},{"type":"Public","name":"knavigator","owner":"NVIDIA","isFork":false,"description":"knavigator is a development, testing, and optimization toolkit for AI/ML scheduling systems at scale on Kubernetes.","topicNames":[],"topicsNotShown":0,"primaryLanguage":{"name":"Go","color":"#00ADD8"},"pullRequestCount":3,"issueCount":0,"starsCount":20,"forksCount":4,"license":"Apache License 2.0","participation":[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,7,0,3,46],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-05-13T18:16:45.254Z"}},{"type":"Public","name":"stdexec","owner":"NVIDIA","isFork":false,"description":"`std::execution`, the proposed C++ framework for asynchronous and parallel programming.","topicNames":[],"topicsNotShown":0,"primaryLanguage":{"name":"C++","color":"#f34b7d"},"pullRequestCount":6,"issueCount":72,"starsCount":1281,"forksCount":140,"license":"Apache License 2.0","participation":[14,10,5,20,8,9,3,4,4,14,10,1,5,19,41,24,18,15,8,31,5,25,22,7,38,8,22,19,15,8,10,3,12,29,16,9,8,26,9,12,6,18,13,16,8,6,8,0,4,12,10,64],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-05-13T18:06:10.910Z"}},{"type":"Public","name":"NeMo-text-processing","owner":"NVIDIA","isFork":false,"description":"NeMo text processing for ASR and TTS","topicNames":["text-normalization","inverse-text-n"],"topicsNotShown":0,"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":3,"issueCount":3,"starsCount":217,"forksCount":66,"license":"Apache License 2.0","participation":[1,1,0,4,2,1,4,1,0,1,0,0,2,2,1,1,3,0,0,1,2,1,0,5,1,0,0,1,0,1,0,0,0,0,0,1,0,0,0,2,0,1,0,4,1,1,0,0,1,2,4,0],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-05-13T16:59:49.777Z"}},{"type":"Public","name":"NeMo-speech-data-processor","owner":"NVIDIA","isFork":false,"description":"A toolkit for processing speech data and creating speech datasets","topicNames":[],"topicsNotShown":0,"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":3,"issueCount":1,"starsCount":62,"forksCount":18,"license":"Apache License 2.0","participation":[0,0,1,3,1,1,1,0,2,16,20,0,0,0,0,0,0,0,0,0,0,0,0,1,1,20,1,2,1,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,5,0,0,1,0,1,2],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-05-13T16:50:32.387Z"}}],"repositoryCount":399,"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":"mirror","text":"Mirrors"},{"id":"template","text":"Templates"}],"compactMode":false},"title":"Repositories"}