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Converts profiling output to a dot graph.
micronet, a model compression and deploy lib. compression: 1、quantization: quantization-aware-training(QAT), High-Bit(>2b)(DoReFa/Quantization and Training of Neural Networks for Efficient Integer-…
🔎 📈 🐍 💰 Backtest trading strategies in Python.
Lantern官方版本下载 蓝灯 翻墙 代理 科学上网 外网 加速器 梯子 路由 proxy vpn circumvention gfw
firmiana / docs
Forked from mindspore-ai/docsMindSpore document
You like pytorch? You like micrograd? You love tinygrad! ❤️
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Distributed Asynchronous Hyperparameter Optimization in Python
Toolbox of models, callbacks, and datasets for AI/ML researchers.
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
Tensors and Dynamic neural networks in Python with strong GPU acceleration
MindSpore is a new open source deep learning training/inference framework that could be used for mobile, edge and cloud scenarios.
"Multi-Level Intermediate Representation" Compiler Infrastructure
Demonstrate all the questions on LeetCode in the form of animation.（用动画的形式呈现解LeetCode题目的思路）
Simple Tensorflow Cookbook for easy-to-use
Open deep learning compiler stack for cpu, gpu and specialized accelerators
A Quantum-Safe Secure Tunnel based on QPP, KCP, FEC, and N:M multiplexing.
This repo is for demonstration purposes only.