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Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
An opinionated list of awesome Python frameworks, libraries, software and resources.
中英文敏感词、语言检测、中外手机/电话归属地/运营商查询、名字推断性别、手机号抽取、身份证抽取、邮箱抽取、中日文人名库、中文缩写库、拆字词典、词汇情感值、停用词、反动词表、暴恐词表、繁简体转换、英文模拟中文发音、汪峰歌词生成器、职业名称词库、同义词库、反义词库、否定词库、汽车品牌词库、汽车零件词库、连续英文切割、各种中文词向量、公司名字大全、古诗词库、IT词库、财经词库、成语词库、地名词库、…
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
LabelImg is now part of the Label Studio community. The popular image annotation tool created by Tzutalin is no longer actively being developed, but you can check out Label Studio, the open source …
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
阿布量化交易系统(股票，期权，期货，比特币，机器学习) 基于python的开源量化交易，量化投资架构
Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).
Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale.
A paper list of object detection using deep learning.
The code for our newly accepted paper in Pattern Recognition 2020: "U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection."
A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities
Accelerate local LLM inference and finetuning (LLaMA, Mistral, ChatGLM, Qwen, DeepSeek, Mixtral, Gemma, Phi, MiniCPM, Qwen-VL, MiniCPM-V, etc.) on Intel XPU (e.g., local PC with iGPU and NPU, discr…
Minimal PyTorch implementation of YOLOv3
A Keras implementation of YOLOv3 (Tensorflow backend)
A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility
Statistical learning methods, 统计学习方法(第2版)[李航] [笔记, 代码, notebook, 参考文献, Errata, lihang]
MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, …
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
CKAN is an open-source DMS (data management system) for powering data hubs and data portals. CKAN makes it easy to publish, share and use data. It powers catalog.data.gov, open.canada.ca/data, data…
Awesome IoT. A collaborative list of great resources about IoT Framework, Library, OS, Platform
A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas …