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Tsinghua University
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TinyNav: A lightweight, hackable system to guide your robots anywhere.
The can package provides controller area network support for Python developers
A WebGPU-accelerated ONNX inference run-time written 100% in Rust, ready for native and the web
Tensor computation with WebGPU acceleration
Machine Learning Containers for NVIDIA Jetson and JetPack-L4T
A fast multi-producer, multi-consumer lock-free concurrent queue for C++11
Free, simple, and intuitive online database diagram editor and SQL generator.
Garnet is a remote cache-store from Microsoft Research that offers strong performance (throughput and latency), scalability, storage, recovery, cluster sharding, key migration, and replication feat…
Speed up model training by fixing data loading.
Official implementation for SlimmeRF: Slimmable Radiance Fields (3DV 2024 Best Paper)
A collection of GPT system prompts and various prompt injection/leaking knowledge.
Idempotent Generative Network's unofficial pytorch implementation
A curated list of foundation models for vision and language tasks
Prompts of GPT-4V & DALL-E3 to full utilize the multi-modal ability. GPT4V Prompts, DALL-E3 Prompts.
[NeurlPS 2023] A Dataset and Benchmark for Pose-agnostic Anomaly Detection.
fastllm是后端无依赖的高性能大模型推理库。同时支持张量并行推理稠密模型和混合模式推理MOE模型,任意10G以上显卡即可推理满血DeepSeek。双路9004/9005服务器+单显卡部署DeepSeek满血满精度原版模型,单并发20tps;INT4量化模型单并发30tps,多并发可达60+。
The official implementation of "Relay Diffusion: Unifying diffusion process across resolutions for image synthesis" [ICLR 2024 Spotlight]
MARS: An Instance-aware, Modular and Realistic Simulator for Autonomous Driving
A curated list of awesome data labeling tools
SPEAR: A Simulator for Photorealistic Embodied AI Research
[ICCV23] DQS3D: Densely-matched Quantization-aware Semi-supervised 3D Detection
⏰ Collaboratively track worldwide conference deadlines (Website, Python Cli, Wechat Applet) / If you find it useful, please star this project, thanks~
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.