Stars
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
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…
High-Resolution Image Synthesis with Latent Diffusion Models
My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(2000+页)和视频链接
Collection of notebooks about quantitative finance, with interactive python code.
Book about interpretable machine learning
A collection of infrastructure and tools for research in neural network interpretability.
A simplified implemention of Faster R-CNN that replicate performance from origin paper
Language-Agnostic SEntence Representations
Fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillions of parameters
A high performance implementation of HDBSCAN clustering.
Code for "LoFTR: Detector-Free Local Feature Matching with Transformers", CVPR 2021, T-PAMI 2022
Efficient few-shot learning with Sentence Transformers
Fast and Easy Infinite Neural Networks in Python
Jupyter notebooks for using & learning Keras
开源人脸口罩检测模型和数据 Detect faces and determine whether people are wearing mask.
Easy training on custom dataset. Various backends (MobileNet and SqueezeNet) supported. A YOLO demo to detect raccoon run entirely in brower is accessible at https://git.io/vF7vI (not on Windows).
[DEIMv2] Real Time Object Detection Meets DINOv3
[CVPR2026] Detect Anything via Next Point Prediction
This repository contains notebook implementations of the following Neural Process variants: Conditional Neural Processes (CNPs), Neural Processes (NPs), Attentive Neural Processes (ANPs).
Awesome Machine Unlearning (A Survey of Machine Unlearning)
TensorFlow Implementation of "Show, Attend and Tell"
A multi-task learning example for the paper https://arxiv.org/abs/1705.07115
Multi Task Vision and Language
Code for ICLR 2020 paper "VL-BERT: Pre-training of Generic Visual-Linguistic Representations".
A TensorFlow implementation of DeepMind's Differential Neural Computers (DNC)
Run Segment Anything Model 2 on a live video stream