kaiyuanxie

InfraTech. 分享AI Infra知识&代码练习：PyTorch、vLLM/SGLang、slime/vime框架入门⚡️、性能加速🚀、大模型基础🧠、AI软硬件🔧等

vime. An LLM post-training framework with vLLM for RL Scaling

LeetCUDA. LeetCUDA: Modern CUDA Learn Notes with PyTorch for Beginners, 200+ CUDA Kernels, Tensor Cores, HGEMM, FA-2 MMA.

typora-0.11.18.

mfu_calculation. A simple calculation for LLM MFU.

transformer_one_page. Coding the transformer model architecture in one page for tutorial.

Langchain-Chatchat. Langchain-Chatchat（原Langchain-ChatGLM）基于 Langchain 与 ChatGLM, Qwen 与 Llama 等语言模型的 RAG 与 Agent 应用 | Langchain-Chatchat (formerly langchain-ChatGLM), local knowledge based LLM (like ChatGLM, Qwen and Llama) RAG and Agent app with langchain

extension-cpp. C++ extensions in PyTorch

BasicCUDA. A tutorial for CUDA&PyTorch

open-gpu-kernel-modules. NVIDIA Linux open GPU kernel module source

swift-coreml-transformers. Swift Core ML 3 implementations of GPT-2, DistilGPT-2, BERT, and DistilBERT for Question answering. Other Transformers coming soon!

py-spy. Sampling profiler for Python programs

cuda-samples. Samples for CUDA Developers which demonstrates features in CUDA Toolkit

json11. A tiny JSON library for C++11.

ColossalAI. Making large AI models cheaper, faster and more accessible

alnair. Intelligent platform for AI workloads

maxas. Assembler for NVIDIA Maxwell architecture

vcuda-controller. C

nvml_enterprise_gpu_check. Shows how to check if a GPU is an Enterprise/Quadro GPU using NVML.

how-to-write-makefile. 跟我一起写Makefile重制版

Learn-Vim. Learning Vim and Vimscript doesn't have to be hard. This is the guide that you're looking for 📖

best-of-ml-python. 🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

955.WLB. 955 不加班的公司名单 - 工作 955，work–life balance (工作与生活的平衡)

ugrad. A C++ implementation of the scalar-valued autograd engine micrograd

tinygrad. You like pytorch? You like micrograd? You love tinygrad! ❤️

micrograd. A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API

DeepGradientCompression. It is implementation of Research paper "DEEP GRADIENT COMPRESSION: REDUCING THE COMMUNICATION BANDWIDTH FOR DISTRIBUTED TRAINING". Deep gradient compression is a technique by which the gradients are compressed before they are being sent. This approach greatly reduces the communication bandwidth and thus improves multi node training.

Distribute_MNIST. TensorFlow分布式MNIST手写字体识别实例

advisor. Open-source implementation of Google Vizier for hyper parameters tuning

text-detection-ctpn. text detection mainly based on ctpn model in tensorflow, id card detect, connectionist text proposal network

tensorflow-internals. It is open source ebook about TensorFlow kernel and implementation mechanism.

bazel. a fast, scalable, multi-language and extensible build system

tensorflow. An Open Source Machine Learning Framework for Everyone

Caffe-MPI.github.io. C++

cocoapi. COCO API - Dataset @ http://cocodataset.org/

models. Models and examples built with TensorFlow

TensorMouse. Control mouse by moving objects in front of webcam using Tensorflow Object Detection API

object_detection_ir_video. Flying animal detection in IR camera video

Smart-Security-Camera. IoT security camera running open-cv for object detection 📹

multi_tracker. Multiple object tracking for single camera in ROS.

interactive-fluid-demo. Interactive demonstration of fluid flow around objects captured by camera