liuzheng081

darknet

Convolutional Neural Networks

SeetaFace6

SeetaFace 6: Newest open and free, full stack face recognization toolkit.

jetson-face-recognition

Face recognition with Jetson Nano

Mask_RCNN

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

Yolov5-in-Deepstream-5.0

Describe how to use yolov5 in Deepstream 5.0

2019-CCF-BDCI-OCR-MCZJ-OCR-IdentificationIDElement

2019CCF-BDCI大赛 最佳创新探索奖获得者 基于OCR身份证要素提取赛题冠军 天晨破晓团队 赛题源码

Ai-learn

人工智能学习路线图，整理近200个实战案例与项目，免费提供配套教材，零基础入门，就业实战！包括：Python，数学，机器学习，数据分析，深度学习，计算机视觉，自然语言处理，PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-intelligence python tensorflow tensorflow2 caffe keras pytorch algorithm numpy pandas matplotlib seaborn nlp cv等热门领域

alfred

alfred-py: A deep learning utility library for **human**, more detail about the usage of lib to: https://zhuanlan.zhihu.com/p/341446046

algorithm-visualizer

:fireworks:Interactive Online Platform that Visualizes Algorithms from Code

AlphAction

Spatio-Temporal Action Localization System

liuzheng081/llm-graph-builder

Neo4j graph construction from unstructured data

liuzheng081/clock

Physical clock using servos

liuzheng081/pytorch-transformer

pytorch复现transformer

liuzheng081/U-2-Net

The code for our newly accepted paper in Pattern Recognition 2020: "U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection."

liuzheng081/DeepLearing-Interview-Awesome-2024

We'll cover some of the most common Deep Learning Interview Questions and answers and provide detailed answers to help you

liuzheng081/superduperdb

🔮 SuperDuperDB. Bring AI to your database; integrate, train and manage any AI models and APIs directly with your database and your data.

liuzheng081/candle

liuzheng081/SadTalker

[CVPR 2023] SadTalker：Learning Realistic 3D Motion Coefficients for Stylized Audio-Driven Single Image Talking Face Animation

liuzheng081/peft

🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

liuzheng081/LangChainStudy

这个项目是一个Jupyter notebook的集合，专门用于学习和探索LangChain框架。

liuzheng081/whisper

Robust Speech Recognition via Large-Scale Weak Supervision

liuzheng081/WTF-Langchain

liuzheng081/ChatGLM-Efficient-Tuning

Fine-tuning ChatGLM-6B with PEFT | 基于 PEFT 的高效 ChatGLM 微调

liuzheng081/train_custom_LLM

Train your custom LLMs like Llama, baichuan-7b, GPT

liuzheng081/langchain-ChatGLM

langchain-ChatGLM, local knowledge based ChatGLM with langchain ｜ 基于本地知识库的 ChatGLM 问答

liuzheng081/tensorRT_Pro

C++ library based on tensorrt integration

liuzheng081/langchain-tutorials

Overview and tutorial of the LangChain Library

liuzheng081/AnimatedDrawings

Code to accompany "A Method for Animating Children's Drawings of the Human Figure"

liuzheng081/ColossalAI

Making big AI models cheaper, easier, and scalable

liuzheng081/dailyfresh-B2C

dailyfresh mall based on B2C model

liuzheng081/pytorch_geometric

Graph Neural Network Library for PyTorch

liuzheng081/FastDeploy

⚡️An Easy-to-use and Fast Deep Learning Model Deployment Toolkit

liuzheng081/CPlusPlusThings

C++那些事

liuzheng081/CMeKGCrawler

Medical Graph for Neo4j

liuzheng081/slambook2

edition 2 of the slambook

liuzheng081/yolo3-pytorch

这是一个yolo3-pytorch的源码，可以用于训练自己的模型。

liuzheng081/Dlog

Host log detection based on deep learning 基于LSTM神经网络模型的日志异常检测

liuzheng081/tr

Free Offline OCR 离线的中文文本检测+识别SDK

liuzheng081/DeepLog

Anomaly detection is a critical step towards building a secure and trustworthy system. The primary purpose of a system log is to record system states and significant events at various critical points to help debug system failures and perform root cause analysis. Such log data is universally available in nearly all computer systems. Log data is an important and valuable resource for understanding system status and performance issues; therefore, the various system logs are naturally excellent source of information for online monitoring and anomaly detection. We propose DeepLog, a deep neural network model utilizing Long Short-Term Memory (LSTM), to model a system log as a natural language sequence. This allows DeepLog to automatically learn log patterns from normal execution, and detect anomalies when log patterns deviate from the model trained from log data under normal execution.

liuzheng081/unilm

UniLM AI - Large-scale Self-supervised Pre-training across Tasks, Languages, and Modalities