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Kubernetes-based, scale-to-zero, request-driven compute
A high-throughput and memory-efficient inference and serving engine for LLMs
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.
An open-source, lightweight note-taking solution. The pain-less way to create your meaningful notes. Your Notes, Your Way.
TNN: developed by Tencent Youtu Lab and Guangying Lab, a uniform deep learning inference framework for mobile、desktop and server. TNN is distinguished by several outstanding features, including its…
📄 🇨🇳 📃 论文阅读笔记(分布式系统、虚拟化、机器学习)Papers Notebook (Distributed System, Virtualization, Machine Learning)
OpenCore EFI and reference material for the ASUS STRIX B450-I motherboard.
Open deep learning compiler stack for cpu, gpu and specialized accelerators
Project moved to: https://github.com/llvm/llvm-project
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
Event-driven network library for multi-threaded Linux server in C++11
Lightweight and Scalable framework that combines mainstream algorithms of Click-Through-Rate prediction based computational DAG, philosophy of Parameter Server and Ring-AllReduce collective communi…
Distributed LR、 FM model on Parameter Server. FTRL and SGD Optimization Algorithm.
Working Theano implementation of Pixel RNN on MNIST.
Implementing Recurrent Neural Network from Scratch
This is an LSTM stock prediction using Tensorflow with Keras on top.
peterjc123 / pytorch
Forked from pytorch/pytorchTensors and Dynamic neural networks in Python with strong GPU acceleration
A runtime for writing reliable asynchronous applications with Rust. Provides I/O, networking, scheduling, timers, ...