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- [nnstreamer/nnstreamer](https://github.com/nnstreamer/nnstreamer) - :twisted_rightwards_arrows: Neural Network (NN) Streamer, Stream Processing Paradigm for Neural Network Apps/Devices.
- [madawei2699/myGPTReader](https://github.com/madawei2699/myGPTReader) - A community-driven way to read and chat with AI bots - powered by chatGPT.
- [Significant-Gravitas/AutoGPT](https://github.com/Significant-Gravitas/AutoGPT) - AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
- [sotetsuk/pgx](https://github.com/sotetsuk/pgx) - 🎲 Vectorized RL game environments written in JAX with end-to-end AlphaZero examples (NeurIPS 2023)
- [sotetsuk/pgx](https://github.com/sotetsuk/pgx) - 🎲 Vectorized RL game environments in JAX
- [lencx/ChatGPT](https://github.com/lencx/ChatGPT) - 🔮 ChatGPT Desktop Application (Mac, Windows and Linux)
- [fenwii/OpenHarmony](https://github.com/fenwii/OpenHarmony) - 华为开源鸿蒙分布式操作系统(Huawei OpenHarmony)开发技术交流,鸿蒙技术资料,手册,指南,共建国产操作系统万物互联新生态。
- [kiwicampus/rosboard_client](https://github.com/kiwicampus/rosboard_client) - Client for remotely streaming ROS messages through websockets using rosboard as server
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- [amusi/ICCV2023-Papers-with-Code](https://github.com/amusi/ICCV2023-Papers-with-Code) - ICCV 2023 论文和开源项目合集
- [Yarroudh/segment-lidar](https://github.com/Yarroudh/segment-lidar) - Python package for segmenting LiDAR data using Segment-Anything Model (SAM) from Meta AI.
- [Significant-Gravitas/AutoGPT](https://github.com/Significant-Gravitas/AutoGPT) - AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
- [sotetsuk/pgx](https://github.com/sotetsuk/pgx) - 🎲 Vectorized RL game environments written in JAX with end-to-end AlphaZero examples (NeurIPS 2023)
- [sotetsuk/pgx](https://github.com/sotetsuk/pgx) - 🎲 Vectorized RL game environments in JAX
- [PKU-DAIR/Hetu](https://github.com/PKU-DAIR/Hetu) - A high-performance distributed deep learning system targeting large-scale and automated distributed training.
- [lucidrains/vit-pytorch](https://github.com/lucidrains/vit-pytorch) - Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
- [NVlabs/VoxFormer](https://github.com/NVlabs/VoxFormer) - Official PyTorch implementation of VoxFormer [CVPR 2023 Highlight]
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## game

- [sotetsuk/pgx](https://github.com/sotetsuk/pgx) - 🎲 Vectorized RL game environments written in JAX with end-to-end AlphaZero examples (NeurIPS 2023)
- [sotetsuk/pgx](https://github.com/sotetsuk/pgx) - 🎲 Vectorized RL game environments in JAX

## gamedev

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- [alibaba/BladeDISC](https://github.com/alibaba/BladeDISC) - BladeDISC is an end-to-end DynamIc Shape Compiler project for machine learning workloads.
- [ARM-software/armnn](https://github.com/ARM-software/armnn) - Arm NN ML Software. The code here is a read-only mirror of https://review.mlplatform.org/admin/repos/ml/armnn
- [hailo-ai/tappas](https://github.com/hailo-ai/tappas) - High-performance, optimized pre-trained template AI application pipelines for systems using Hailo devices
- [sotetsuk/pgx](https://github.com/sotetsuk/pgx) - 🎲 Vectorized RL game environments written in JAX with end-to-end AlphaZero examples (NeurIPS 2023)
- [sotetsuk/pgx](https://github.com/sotetsuk/pgx) - 🎲 Vectorized RL game environments in JAX
- [kabouzeid/point2vec](https://github.com/kabouzeid/point2vec) - Self-Supervised Representation Learning on Point Clouds (GCPR 2023 | T4V Workshop @ CVPR 2023)
- [PKU-DAIR/Hetu](https://github.com/PKU-DAIR/Hetu) - A high-performance distributed deep learning system targeting large-scale and automated distributed training.
- [openai/CLIP](https://github.com/openai/CLIP) - CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
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- [cgtuebingen/SpatialDETR](https://github.com/cgtuebingen/SpatialDETR) - Official implementation of SpatialDETR. The paper will be presented at ECCV 2022
- [renesas-rz/meta-rz-edge-ai-demo](https://github.com/renesas-rz/meta-rz-edge-ai-demo) -
- [hirakuni45/RX](https://github.com/hirakuni45/RX) - Renesas RX Microcontroller, C++ framework, Library, Sample
- [azure-rtos/samples](https://github.com/azure-rtos/samples) - A collection of complete sample workspaces and projects for popular development boards from ST, NXP, Renesas, Microchip and Microsoft using popular IDEs and toolchains, including IAR, ARM, STM32CubeID
- [eclipse-threadx/samples](https://github.com/eclipse-threadx/samples) - A collection of complete sample workspaces and projects for popular development boards from ST, NXP, Renesas, Microchip and Microsoft using popular IDEs and toolchains, including IAR, ARM, STM32CubeID
- [Ascend/ModelZoo-PyTorch](https://github.com/Ascend/ModelZoo-PyTorch) -
- [Ascend/ascend-deployer](https://github.com/Ascend/ascend-deployer) -
- [Ascend/mindxdl-deploy](https://github.com/Ascend/mindxdl-deploy) -
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- [OpenStitching/stitching](https://github.com/OpenStitching/stitching) - A Python package for fast and robust Image Stitching
- [hpc203/FreeYOLO-opencv-onnxrun-cpp-py](https://github.com/hpc203/FreeYOLO-opencv-onnxrun-cpp-py) - 分别使用OpenCV、ONNXRuntime部署FreeYOLO目标检测,总共包含143个onnx模型,有COCO目标检测,人脸检测,密集行人检测的三种检测功能,依然是包含C++和Python两个版本的程序
- [Significant-Gravitas/AutoGPT](https://github.com/Significant-Gravitas/AutoGPT) - AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
- [sotetsuk/pgx](https://github.com/sotetsuk/pgx) - 🎲 Vectorized RL game environments written in JAX with end-to-end AlphaZero examples (NeurIPS 2023)
- [sotetsuk/pgx](https://github.com/sotetsuk/pgx) - 🎲 Vectorized RL game environments in JAX
- [PKU-DAIR/Hetu](https://github.com/PKU-DAIR/Hetu) - A high-performance distributed deep learning system targeting large-scale and automated distributed training.
- [Fechin/reference](https://github.com/Fechin/reference) - ⭕ Share quick reference cheat sheet for developers.
- [zellerlab/GECCO](https://github.com/zellerlab/GECCO) - GEne Cluster prediction with COnditional random fields.
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