HaiShaw/sglang
SGLang is a fast serving framework for large language models and vision language models.
SGLang is a fast serving framework for large language models and vision language models.
Repo for Udacity Machine Learning Nanodegree
An AI Tensor Engine for ROCm
Domain-specific language designed to streamline the development of high-performance GPU/CPU/Accelerators kernels
The goal of the OSSCI Fleet is to provide a central mechanism to enable test automation, batch job scheduling, and developer access to a federated set of limited GPU resources
FlashInfer: Kernel Library for LLM Serving
AI Tensor Engine for ROCm
PyTorch emulation library for Microscaling (MX)-compatible data formats
Material for gpu-mode lectures
A high-throughput and memory-efficient inference and serving engine for LLMs
LLM training in simple, raw C/CUDA
Lanes detection (Deep Learning), Objects detection and Object-Lane fusion
Repo for Udacity Self-Driving Car Nanodegree
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
FB (Facebook) + GEMM (General Matrix-Matrix Multiplication) - https://code.fb.com/ml-applications/fbgemm/
The most cited deep learning papers
Jupyter Notebooks for the Connect Intensive MLND Program
Content for Udacity's Machine Learning curriculum
Vehicle Detection by Haar Cascades with OpenCV
End-to-End Super Resolution Object Detection Networks
Lane Finding Project for Self-Driving Car ND
Repo for Udacity Data Analyst Nanodegree
Code repo for CS255 (cryptography) Project 1
Code repo for CS255 (cryptography) Project 2
Tools for Sensor Fusion processing.
Self-Driving Car Nanodegree Program Starter Code for the Extended Kalman Filter Project