cumtchw

cumtchw's Stars

• deepseek-ai/DeepGEMM

  DeepGEMM: clean and efficient FP8 GEMM kernels with fine-grained scaling

  Language:Cuda5k498

• Tony-Tan/CUDA_Freshman

  Language:Cuda2.4k459

• ShadyBoukhary/GPU-research-FFT-OpenACC-CUDA

  Case studies constitute a modern interdisciplinary and valuable teaching practice which plays a critical and fundamental role in the development of new skills and the formation of new knowledge. This research studies the behavior and performance of two interdisciplinary and widely adopted scientific kernels, a Fast Fourier Transform and Matrix Multiplication. Both routines are implemented in the two current most popular many-core programming models CUDA and OpenACC. A Fast Fourier Transform (FFT) samples a signal over a period of time and divides it into its frequency components, computing the Discrete Fourier Transform (DFT) of a sequence. Unlike the traditional approach to computing a DFT, FFT algorithms reduce the complexity of the problem from O(n2) to O(nLog2n). Matrix multiplication is a cornerstone routine in Mathematics, Artificial Intelligence and Machine Learning. This research also shows that the nature of the problem plays a crucial role in determining what many-core model will provide the highest benefit in performance.

  Language:Cuda133

• airockchip/ultralytics_yolov8

  NEW - YOLOv8 🚀 in PyTorch > ONNX > CoreML > TFLite

  Language:Python17442

• airockchip/rknn_model_zoo

  Language:C1.3k236

• a-hamdi/GPU

  100 days of building GPU kernels!

  Language:Cuda29027

• Tongkaio/CUDA_Kernel_Samples

  CUDA 算子手撕与面试指南

  Language:Cuda21120

• Maharshi-Pandya/cudacodes

  Learnings and programs related to CUDA

  Language:Cuda32612

• Open-LLM-VTuber/Open-LLM-VTuber

  Talk to any LLM with hands-free voice interaction, voice interruption, and Live2D taking face running locally across platforms

  Language:Python2.7k273

• ifzhang/ByteTrack

  [ECCV 2022] ByteTrack: Multi-Object Tracking by Associating Every Detection Box

  Language:Python5.1k967

• ultralytics/ultralytics

  Ultralytics YOLO11 🚀

  Language:Python38k7.4k

• ireader/media-server

  RTSP/RTP/RTMP/FLV/HLS/MPEG-TS/MPEG-PS/MPEG-DASH/MP4/fMP4/MKV/WebM

  Language:C3.2k1.1k

• ZLMediaKit/ZLMediaKit

  WebRTC/RTSP/RTMP/HTTP/HLS/HTTP-FLV/WebSocket-FLV/HTTP-TS/HTTP-fMP4/WebSocket-TS/WebSocket-fMP4/GB28181/SRT server and client framework based on C++11

  Language:C++14.7k3.6k

• gelldur/EventBus

  A lightweight and very fast event bus / event framework for C++17

  Language:C++37980

• hiyouga/LLaMA-Factory

  Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)

  Language:Python44.3k5.4k

• NVIDIA/workbench-llamafactory

  This is an NVIDIA AI Workbench example project that demonstrates an end-to-end model development workflow using Llamafactory.

  Language:Jupyter Notebook5021

• NVIDIA/cuda-samples

  Samples for CUDA Developers which demonstrates features in CUDA Toolkit

  Language:C7.1k2k

• Cambricon/CNStream

  CNStream is a streaming framework for building Cambricon machine learning pipelines http://forum.cambricon.com https://gitee.com/SolutionSDK/CNStream

  Language:C++498

• brucefan1983/CUDA-Programming

  Sample codes for my CUDA programming book

  Language:Cuda1.7k338

• progschj/ThreadPool

  A simple C++11 Thread Pool implementation

  Language:C++8.2k2.3k

• cumtchw/MemoryPool

  C++内存池的高级实现，包含代码详解、CMake构建工程、应用实例。

  Language:Makefile2

• cacay/MemoryPool

  An easy to use and efficient memory pool allocator written in C++.

  Language:C++1.3k414

• wispytrace/magik-toolkit

  Language:C73

• open-webui/open-webui

  User-friendly AI Interface (Supports Ollama, OpenAI API, ...)

  Language:JavaScript83.6k10.1k

• MarkFzp/act-plus-plus

  Imitation learning algorithms with Co-training for Mobile ALOHA: ACT, Diffusion Policy, VINN

  Language:Python3.2k587

• MarkFzp/mobile-aloha

  Mobile ALOHA: Learning Bimanual Mobile Manipulation with Low-Cost Whole-Body Teleoperation

  Language:Jupyter Notebook4k692

• weaigc/bingo

  Bingo，一个让你呼吸顺畅 New Bing。

  Language:TypeScript2.9k1.3k

• nxp-imx/uboot-imx

  i.MX U-Boot

  Language:C117136

• diffgram/diffgram

  The AI Datastore for Schemas, BLOBs, and Predictions. Use with your apps or integrate built-in Human Supervision, Data Workflow, and UI Catalog to get the most value out of your AI Data.

  Language:Python1.9k121

• microsoft/onnxruntime

  ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator

  Language:C++16k3.1k