heechul

llama.cpp

LLM inference in C/C++

nanoGPT

The simplest, fastest repository for training/finetuning medium-sized GPTs.

IoT-For-Beginners

12 Weeks, 24 Lessons, IoT for All!

ggml

Tensor library for machine learning

insanely-fast-whisper

VINS-Fusion

An optimization-based multi-sensor state estimator

bevfusion

[ICRA'23] BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation

llm-awq

[MLSys 2024 Best Paper Award] AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration

awesome-opensource-hardware

List of awesome open source hardware tools, generators, and reusable designs

ml-cvnets

CVNets: A library for training computer vision networks

End-to-end-Autonomous-Driving

All you need for End-to-end Autonomous Driving

ibex

Ibex is a small 32 bit RISC-V CPU core, previously known as zero-riscy.

Efficient-LLMs-Survey

[TMLR 2024] Efficient Large Language Models: A Survey

models

Intel® AI Reference Models: contains Intel optimizations for running deep learning workloads on Intel® Xeon® Scalable processors and Intel® Data Center GPUs

f1tenth_ws

A repository for autonomous racing written in ROS2, designed for the F1TENTH platform. Code can run both in the physical car, as well as simulation with custom launch files.

useful-transformers

Efficient Inference of Transformer models

Building-Low-Latency-Applications-with-CPP

Building Low Latency Applications with CPP by Packt Publishing

BitNetMCU

Neural Networks with low bit weights on low end 32 bit microcontrollers such as the CH32V003 RISC-V Microcontroller and others

colabs

This repository holds the Google Colabs for the EdX TinyML Specialization

sAP

Code for Towards Streaming Perception (ECCV 2020) :car:

LARD

A runway dataset and a generator of synthetic aerial images with automatic labeling.

UNIFEI-IESTI01-TinyML-2022.1

Course Repository - TinyML - Machine Learning for Embedding Devices

agrobot

Neural-Kalman GNSS/INS Navigation for Precision Agriculture

fft_simd

A simple demo shows how to use the SIMD,Single Instruction Multiple Data, to optimize and accelerate the FFT algorithm.

podman-ollama

any-precision-llm

[ICML 2024] Any-Precision LLM: Low-Cost Deployment of Multiple, Different-Sized LLMs

labs

Labs for the EE292D Edge ML class at Stanford

prospect

ProSpeCT: Provably Secure Speculation for the Constant-Time Policy.

ESP_TF

DeepPicarCpp

Autonomous Driving Test-bed for Real-Time Research