IoT-LAB Contiki-NG port

Fork of MxServe

A high-throughput and memory-efficient inference and serving engine for LLMs

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

Inference code for LLaMA models

Inference code for CodeLlama models

Workshop held at the AIoTwin Summer School 2023

Kubernetes Scheduler Simulator

Graph Neural Network Library for PyTorch

Yahoo! Cloud Serving Benchmark

A complete computer science study plan to become a software engineer.

Code for "Heterogenity-Aware Cluster Scheduling Policies for Deep Learning Workloads", which appeared at OSDI 2020

Assignments for Berkeley CS 285: Deep Reinforcement Learning (Fall 2021)

Implementation of ECO-DQN as reported in "Exploratory Combinatorial Optimization with Reinforcement Learning".

fast.ai Courses

An MPEG/DASH client-server module for simulating rate adaptation mechanisms over HTTP/TCP.

The 3rd edition of course.fast.ai

An Open Source Machine Learning Framework for Everyone

Goes through the process of creating an App Engine guestbook using Java and Maven in phases