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Tsinghua University
- Beijing, China
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The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
Google Research
A game theoretic approach to explain the output of any machine learning model.
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。
A collection of various deep learning architectures, models, and tips
High-Resolution Image Synthesis with Latent Diffusion Models
A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API
This repository contains demos I made with the Transformers library by HuggingFace.
Build your neural network easy and fast, 莫烦Python中文教学
Image restoration with neural networks but without learning.
[NeurIPS 2024 Best Paper][GPT beats diffusion🔥] [scaling laws in visual generation📈] Official impl. of "Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction". An *ult…
Visualizations for machine learning datasets
An adversarial example library for constructing attacks, building defenses, and benchmarking both
COCO API - Dataset @ http://cocodataset.org/
Simple tutorials using Google's TensorFlow Framework
The pytorch re-implement of the official efficientdet with SOTA performance in real time and pretrained weights.
Code repo for realtime multi-person pose estimation in CVPR'17 (Oral)
A collection of infrastructure and tools for research in neural network interpretability.
Tutorials and programming exercises for learning Q# and quantum computing
Go to https://github.com/pytorch/tutorials - this repo is deprecated and no longer maintained
Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distiller
Single Shot MultiBox Detector in TensorFlow
A simplified implemention of Faster R-CNN that replicate performance from origin paper
Microsoft Quantum Development Kit Samples
Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch
We are building an open database of COVID-19 cases with chest X-ray or CT images.