📚 从零开始的大语言模型原理与实践教程

[ECCV 2022] This is the official implementation of BEVFormer, a camera-only framework for autonomous driving perception, e.g., 3D object detection and semantic map segmentation.

The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use th…

The official Meta Llama 3 GitHub site

Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step

SegmentAnyBone: A Universal Model that Segments Any Bone at Any Location on MRI

Lists of company wise questions available on leetcode premium. Every csv file in the companies directory corresponds to a list of questions on leetcode for a specific company based on the leetcode …

Distance Estimation using Monocular Camera system

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

Object detection using yolov2 and estimation of object from the camera lens

Software used for generating embeddings from large-scale graph-structured data.

关于python的面试题

Must-read papers on graph neural networks (GNN)

Simple and ready-to-use tutorials for TensorFlow

Information and content associated with "A/B Testing and Beyond", a continuing eduction certificate offered by the University of San Francisco's Data Institute.

Simple reference implementation of GraphSAGE.

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

Implementation of Graph Convolutional Networks in TensorFlow

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Graph Convolutional Networks in PyTorch

A Tensorflow implementation of CapsNet(Capsules Net) in Hinton's paper Dynamic Routing Between Capsules

A Capsule Implement with Pure Keras

TensorFlow Tutorials with YouTube Videos

Models and examples built with TensorFlow

A simplified implemention of Faster R-CNN with competent performance