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科大讯飞2020事件抽取挑战赛第一名解决方案&完整事件抽取系统

Engine for AI/ML/Data tracking, visualization, explainability, drift detection, and dashboards for Polyaxon.

A roadmap for getting started with Machine Learning

深度学习系统笔记，包含深度学习数学基础知识、神经网络基础部件详解、深度学习炼丹策略、模型压缩算法详解。

The PatchCamelyon (PCam) deep learning classification benchmark.

LoRa APRS iGATE for ESP32 Based Board with Rx + Tx capabilities

ChirpStack Application Server is an open-source LoRaWAN application-server.

PyTorch C++ Reinforcement Learning

Deep Q-learning for playing tetris game

Open-source framework for uncertainty and deep learning models in PyTorch 🌱

[NeurIPS 2018] Visual Object Networks: Image Generation with Disentangled 3D Representation.

NLP 领域常见任务的实现，包括新词发现、以及基于pytorch的词向量、中文文本分类、实体识别、摘要文本生成、句子相似度判断、三元组抽取、预训练模型等。

[CVPR 2023] Official repository for downloading, processing, visualizing, and training models on the ARCTIC dataset.

learning-Journey-AI 是一个2025年最新整理推出AI学习资料归纳，包含了基础理论知识，书籍，文章和论文以方便学习，还提供了各种实战项目和工具以方便练习。

This is a list of papers related to traffic agent trajectory prediction.

TensorLayerX: A Unified Deep Learning and Reinforcement Learning Framework for All Hardwares, Backends and OS.

Train machine learning models within a 🐳 Docker container using 🧠 Amazon SageMaker.

BeatNet is state-of-the-art (Real-Time) and Offline joint music beat, downbeat, tempo, and meter tracking system using CRNN and particle filtering. (ISMIR 2021's paper implementation).

Neural Machine Translation with Keras

A scene text recognition toolbox based on PyTorch

IBM Analog Hardware Acceleration Kit

Optical Flow Prediction with TensorFlow. Implements "PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume," by Deqing Sun et al. (CVPR 2018)

A curated list of background subtraction related papers and resources

Evaluate three types of task shifting with popular continual learning algorithms.

Multiple implementations for abstractive text summurization , using google colab

LoRa APRS Tracker with Tx and Rx capabilities, Messages, Wx, Winlink and more...

Zig INferenCe Engine — Local LLM inference on AMD GPUs and Apple Silicon

Voice Conversion With Just Nearest Neighbors

Code to create Stylized-ImageNet, a stylized version of standard ImageNet (ICLR 2019 Oral)

An open-source Python library for poker game simulations, hand evaluations, and statistical analysis

Learn fast, scalable, and calibrated measures of uncertainty using neural networks!

[ICLR 2020] "FasterSeg: Searching for Faster Real-time Semantic Segmentation" by Wuyang Chen, Xinyu Gong, Xianming Liu, Qian Zhang, Yuan Li, Zhangyang Wang

Pytorch implementation of Generative Adversarial Networks (GAN) and Deep Convolutional Generative Adversarial Networks (DCGAN) for MNIST and CelebA datasets

Exploiting Bitcoin prices patterns with Deep Learning.

This repository contains the best Data Science free hand-picked resources to equip you with all the industry-driven skills and interview preparation kit.

Competitive Collaboration: Joint Unsupervised Learning of Depth, Camera Motion, Optical Flow and Motion Segmentation

Tutorial for building a custom CUDA function for Pytorch

StarCraft environment for OpenAI Gym, based on Facebook's TorchCraft. (In progress)

Geometric GNN Dojo provides unified implementations and experiments to explore the design space of Geometric Graph Neural Networks (ICML 2023)

A project that uses optical flow and machine learning to detect aimhacking in video clips.

Portable AI music generator — full songs with vocals, covers, music videos. One-click install, 100% offline, NVIDIA GPU.

RoFormer V1 & V2 pytorch

Pytorch implementation of the CREPE pitch tracker

Official implementation for "Break-A-Scene: Extracting Multiple Concepts from a Single Image" [SIGGRAPH Asia 2023]

a reimplementation of Holistically-Nested Edge Detection in PyTorch

The first open Federated Learning framework implemented in C++ and Python.

pytextclassifier is a toolkit for text classification. 文本分类，LR，Xgboost，TextCNN，FastText，TextRNN，BERT等分类模型实现，开箱即用。

Implementation of 1D, 2D, and 3D FFT convolutions in PyTorch. Much faster than direct convolutions for large kernel sizes.

PyTorch Code for the paper "VSE++: Improving Visual-Semantic Embeddings with Hard Negatives"

[CVPR'17] Training a Correlation Filter end-to-end allows lightweight networks of 2 layers (600 kB) to high performance at fast speed..