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Interactive roadmaps, guides and other educational content to help developers grow in their careers.
All Algorithms implemented in Python
An Open Source Machine Learning Framework for Everyone
Get up and running with OpenAI gpt-oss, DeepSeek-R1, Gemma 3 and other models.
๐ค 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.
๐ฏ Curated coding interview preparation materials for busy software engineers
Production-Grade Container Scheduling and Management
Empowering everyone to build reliable and efficient software.
Tensors and Dynamic neural networks in Python with strong GPU acceleration
FastAPI framework, high performance, easy to learn, fast to code, ready for production
The Web framework for perfectionists with deadlines.
Explain complex systems using visuals and simple terms. Help you prepare for system design interviews.
GPT4All: Run Local LLMs on Any Device. Open-source and available for commercial use.
Collection of awesome LLM apps with AI Agents and RAG using OpenAI, Anthropic, Gemini and opensource models.
Model Context Protocol Servers
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.
Examples and guides for using the OpenAI API
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
๐ Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents.
scikit-learn: machine learning in Python
YOLOv5 ๐ 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.
12 Lessons to Get Started Building AI Agents
List of top 500 ReactJS Interview Questions & Answers....Coding exercise questions are coming soon!!