There are 5 repositories under efficient topic.
Nim is a statically typed compiled systems programming language. It combines successful concepts from mature languages like Python, Ada and Modula. Its design focuses on efficiency, expressiveness, and elegance (in that order of priority).
Massively Parallel Deep Reinforcement Learning. 🔥
A Crystal web framework that makes building applications fast, simple, and enjoyable. Get started with quick prototyping, less bugs, and blazing fast performance.
Implementation of EfficientNet model. Keras and TensorFlow Keras.
Minimal, efficient, statically-typed and meta-programmable systems programming language heavily inspired by Lua, which compiles to C and native code.
Cista is a simple, high-performance, zero-copy C++ serialization & reflection library.
Slimmable Networks, AutoSlim, and Beyond, ICLR 2019, and ICCV 2019
Lizard (formerly LZ5) is an efficient compressor with very fast decompression. It achieves compression ratio that is comparable to zip/zlib and zstd/brotli (at low and medium compression levels) at decompression speed of 1000 MB/s and faster.
a radical and experimental distribution based on musl libc and busybox
Official PyTorch implementation of Superpoint Transformer introduced in [ICCV'23] "Efficient 3D Semantic Segmentation with Superpoint Transformer" and SuperCluster introduced in [3DV'24 Oral] "Scalable 3D Panoptic Segmentation As Superpoint Graph Clustering"
这是一个app开发的加速库。This is an accelerated library for app development
A Rust program for finding salts that create gas-efficient Ethereum addresses via CREATE2.
Serialization library written in C++17 - Pack C++ structs into a compact byte-array without any macros or boilerplate code
A light-weight, power efficient, and general purpose convolutional neural network
[CVPR21] LightTrack: Finding Lightweight Neural Network for Object Tracking via One-Shot Architecture Search
Reference ImageNet implementation of SelecSLS CNN architecture proposed in the SIGGRAPH 2020 paper "XNect: Real-time Multi-Person 3D Motion Capture with a Single RGB Camera". The repository also includes code for pruning the model based on implicit sparsity emerging from adaptive gradient descent methods, as detailed in the CVPR 2019 paper "On implicit filter level sparsity in Convolutional Neural Networks".
A small and lightweight POSIX script for using a custom fan curve in Linux for those with an Nvidia GPU.
Papers and Book to look at when starting AGI 📚
打造一款通用的AppUI结构,包括登录、注册等通用 UI 界面及各工具类和公共部分。
python implementation of efficient convolution operators for tracking
Multithreaded package for working with tabular data in Julia
Efficient distortion loss with O(n) realization.