AI agents running research on single-GPU nanochat training automatically

Interactively Segment 3d Meshes, with your clicking and SAM3.

Convolutional Neural Network for 3D meshes in PyTorch

🍻 Default formulae for the missing package manager for macOS (or Linux)

🍻 Default formulae for the missing package manager for macOS (or Linux)

This repository shows how to set up Claude Code on a clean macOS account, step by step. It is made for beginners with little or no coding experience. 示範如何完成 Claude Code 的安裝與設定，本內容是為沒有程式背景的新手所設計。

这是一个mobilenet-yolov4的库，把yolov4主干网络修改成了mobilenet，修改了Panet的卷积组成，使参数量大幅度缩小。

PyTorch implementation of the U-Net for image semantic segmentation with high quality images

Deep Learning

collecting books, papers and docs.

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…

collecting books, papers and docs.

This is a Deep Learning model based on PyTorch. We train it for image classification on CIFAR10.

PyTorch CNN for CIFAR-10 dataset

A Multilayer Perceptron Model for Image Classification Using the CIFAR-10 Dataset

Companion webpage to the book "Mathematics For Machine Learning"

Backtrader策略機

Algorithms & Data structures in C++.

Roadmap to becoming an Artificial Intelligence Expert in 2022

Code for 15th place in Kaggle Google AI Open Images - Object Detection Track

Open standard for machine learning interoperability

A collection of pre-trained, state-of-the-art models in the ONNX format

Tutorials for creating and using ONNX models

IC design and development should be faster，simpler and more reliable

ShuffleNet Implementation in TensorFlow

TensorFlow documentation

【干货】史上最全的PyTorch学习资源汇总

This page is for the SlimYOLOv3: Narrower, Faster and Better for UAV Real-Time Applications

A dual clock asynchronous FIFO written in verilog, tested with Icarus Verilog