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Welcome to the one point community-driven encyclopedia for anything in technology.
Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing…
Papers & presentation materials from Hugging Face's internal science day
Tips for releasing research code in Machine Learning (with official NeurIPS 2020 recommendations)
Reconquer the canvas: beautiful Tikz figures without clunky Tikz code
Natural Language Processing Best Practices & Examples
A modular framework for vision & language multimodal research from Facebook AI Research (FAIR)
Interpretability and explainability of data and machine learning models
Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
Paper List for Style Transfer in Text
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
A collection of various deep learning architectures, models, and tips
Empower Sequence Labeling with Task-Aware Neural Language Model | a PyTorch Tutorial to Sequence Labeling
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
A cross-platform, customizable science fiction terminal emulator with advanced monitoring & touchscreen support.
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
A curated awesome list of AI Startups in India & Machine Learning Interview Guide. Feel free to contribute!
A model library for exploring state-of-the-art deep learning topologies and techniques for optimizing Natural Language Processing neural networks
📊 Path to a free self-taught education in Data Science!
A very simple framework for state-of-the-art Natural Language Processing (NLP)
A one page , two asymmetric column resume template in XeTeX that caters to an undergraduate Computer Science student
Compilation of resources for aspiring data scientists
A curated list of awesome Deep Learning tutorials, projects and communities.
A curated list of awesome warez and piracy links
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.