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📚LeetCUDA: Modern CUDA Learn Notes with PyTorch for Beginners🐑, 200+ CUDA/Tensor Cores Kernels, HGEMM, FA-2 MMA etc.🔥
Natural Language Processing with Transformers 中译本，最权威Transformers教程
A framework for comprehensive diagnosis and optimization of agents using simulated, realistic synthetic interactions
🪢 Open source LLM engineering platform: LLM Observability, metrics, evals, prompt management, playground, datasets. Integrates with OpenTelemetry, Langchain, OpenAI SDK, LiteLLM, and more. 🍊YC W23
A community-maintained Python framework for creating mathematical animations.
A Comprehensive Roadmap to Mathematics
《Hello 算法》：动画图解、一键运行的数据结构与算法教程。支持 Python, Java, C++, C, C#, JS, Go, Swift, Rust, Ruby, Kotlin, TS, Dart 代码。简体版和繁体版同步更新，English version ongoing
Efficient computing methods developed by Huawei Noah's Ark Lab
Intel® NPU Acceleration Library
A pytorch-based real-time segmentation model for autonomous driving
Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)
Code release for ConvNeXt V2 model
A PyTorch implementation of "MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer"
A light-weight, power efficient, and general purpose convolutional neural network
Easily train or fine-tune SOTA computer vision models with one open source training library. The home of Yolo-NAS.
🐍 Geometric Computer Vision Library for Spatial AI
Real-World Super-Resolution via Kernel Estimation and Noise Injection
A list of papers, docs, codes about model quantization. This repo is aimed to provide the info for model quantization research, we are continuously improving the project. Welcome to PR the works (p…
PyTorch code for our ECCV 2018 paper "Image Super-Resolution Using Very Deep Residual Channel Attention Networks"
Unofficial pytorch implementation of the paper "Context Reasoning Attention Network for Image Super-Resolution (ICCV 2021)"
PyTorch implementation of Image Super-Resolution Using Very Deep Residual Channel Attention Networks (ECCV 2018)
YOLOv3 in PyTorch > ONNX > CoreML > TFLite
Udacity Self-Driving Car Nanodegree - Extended Kalman Filter implementation
The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"