#
Lists (2)
Starred repositories
276
results
for source starred repositories
Clear filter
A complete computer science study plan to become a software engineer.
All Algorithms implemented in Python
📝 Algorithms and data structures implemented in JavaScript with explanations and links to further readings
An Open Source Machine Learning Framework for Everyone
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
Command-line program to download videos from YouTube.com and other video sites
Langflow is a powerful tool for building and deploying AI-powered agents and workflows.
This repo includes ChatGPT prompt curation to use ChatGPT and other LLM tools better.
刷算法全靠套路，认准 labuladong 就够了！English version supported! Crack LeetCode, not only how, but also why.
Production-ready platform for agentic workflow development.
Collection of publicly available IPTV channels from all over the world
Tensors and Dynamic neural networks in Python with strong GPU acceleration
🎉 A magical vue admin https://panjiachen.github.io/vue-element-admin
Spring Boot helps you to create Spring-powered, production-grade applications and services with absolute minimum fuss.
Models and examples built with TensorFlow
For developers, who are building real-time data-driven applications, Redis is the preferred, fastest, and most feature-rich cache, data structure server, and document and vector query engine.
The Python micro framework for building web applications.
A high-throughput and memory-efficient inference and serving engine for LLMs
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
openpilot is an operating system for robotics. Currently, it upgrades the driver assistance system on 300+ supported cars.
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
No fortress, purely open ground. OpenManus is Coming.