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Official Implement of "ADBench: Anomaly Detection Benchmark", NeurIPS 2022.

Companion repository to GANs in Action: Deep learning with Generative Adversarial Networks

Interpretability Methods for tf.keras models with Tensorflow 2.x

Segment Anything in 3D with NeRFs (NeurIPS 2023 & IJCV 2025)

Pytorch version of SfmLearner from Tinghui Zhou et al.

[Deprecated] 🇨🇳中国二代身份证光学识别

[IEEE T-KDE 2026] Awesome Deep Graph Clustering is a collection of SOTA, novel deep graph clustering methods (papers, codes, and datasets).

This is the fully-functional GNU Radio software-defined radio (SDR) implementation of a LoRa transceiver with all the necessary receiver components to operate correctly even at very low SNRs. This work has been conducted at the Telecommunication Circuits Laboratory, EPFL.

List of projects for 3d reconstruction

an implementation of Video Frame Interpolation via Adaptive Separable Convolution using PyTorch

Speech-to-text server framework with next-gen Kaldi

Normalizing flows in PyTorch

Implementation of Band Split Roformer, SOTA Attention network for music source separation out of ByteDance AI Labs

TensorFlow Similarity is a python package focused on making similarity learning quick and easy.

推荐、广告工业界经典以及最前沿的论文、资料集合/ Must-read Papers on Recommendation System and CTR Prediction

SASRec: Self-Attentive Sequential Recommendation

NVIDIA Federated Learning Application Runtime Environment

A pytorch re-implementation of Real-time Scene Text Detection with Differentiable Binarization

All Stanford Cheatsheets: Artificial Intelligence, Transformers, LLMs, Deep Learning, Machine Learning, Probabilities, Statistics, Algebra and Calculus.

allRank is a framework for training learning-to-rank neural models based on PyTorch.

Official PyTorch Implementation of "GAN-Supervised Dense Visual Alignment" (CVPR 2022 Oral, Best Paper Finalist)

中国提供计算机视觉(CV)算法岗位的公司名单，欢迎大家提交issues进行补充

Simple Text-Generator with OpenAI gpt-2 Pytorch Implementation

A collection of notebooks for Natural Language Processing from NLP Town

Everything you need about Active Learning (AL).

(TPAMI 2024) A Survey on Open Vocabulary Learning

pytorch memory track code

A learning rate range test implementation in PyTorch

[ICLR 2025 Spotlight] Official implementation of "Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts"

A curated list of awesome awesomeness about artificial intelligence

[ICML2024 (Oral)] Official PyTorch implementation of DoRA: Weight-Decomposed Low-Rank Adaptation

Compact server for private LoRaWAN networks

Survival analysis with PyTorch

CALVIN - A benchmark for Language-Conditioned Policy Learning for Long-Horizon Robot Manipulation Tasks

A tool for converting ONNX files to LiteRT/TFLite/TensorFlow, PyTorch native code (nn.Module), TorchScript (.pt), state_dict (.pt), Exported Program (.pt2), and Dynamo ONNX. It also supports direct conversion from LiteRT to PyTorch.

Metric learning and retrieval pipelines, models and zoo.

Pretrained model hub for Keras 3.

cuDNN Frontend is NVIDIA's modern, open-source entry point to the cuDNN library and a growing collection of high-performance open-source kernels.

Framework-agnostic implementation for state-of-the-art saliency methods (XRAI, BlurIG, SmoothGrad, and more).

Learn deep learning with tensorflow2.0, keras and python through this comprehensive deep learning tutorial series. Learn deep learning from scratch. Deep learning series for beginners. Tensorflow tutorials, tensorflow 2.0 tutorial. deep learning tutorial python.

Mathematics for Machine Learning and Data Science Specialization - Coursera - deeplearning.ai - solutions and notes

This is the repository of our article published in RecSys 2019 "Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches" and of several follow-up studies.

Pytorch implementation of Center Loss

Official Code Release for [SIGGRAPH 2025] RenderFormer: Transformer-based Neural Rendering of Triangle Meshes with Global Illumination

Deep Image Matting

CodeProject.AI Server is a self contained service that software developers can include in, and distribute with, their applications in order to augment their apps with the power of AI.

Implementing Siamese networks with a contrastive loss for similarity learning

Jetson Nano with Ubuntu 20.04 image

[CVPR2022] Geometric Transformer for Fast and Robust Point Cloud Registration

A simple and extensible library to create Bayesian Neural Network layers on PyTorch.