“Pay attention to the official account of the old K play code , reply to "Python introductory book" to get free Python introductory textbook ;
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- One of the fun of learning python is to study artificial intelligence,
- Old K has compiled interesting AI projects on github for you, come and take a look~!
1. google-research
address | https://github.com/google-research/google-research |
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star | 10.5k |
fork | 2.0k |
“An unofficial collection of Google AI Research projects
2. AIDungeon
address | https://github.com/AIDungeon/AIDungeon |
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star | 2.5k |
fork | 399 |
“A dungeon word game based on machine learning. This project introduces how to use machine learning to build a game, the code is simple and clear, suitable for in-depth research by AI enthusiasts
3. RecommenderSystem-Paper
address | https://github.com/daicoolb/RecommenderSystem-Paper |
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star | 568 |
fork | 186 |
“A list of recommended system papers, including papers published by top industry conferences such as AAAI and NIPS, as well as some award-winning papers from KDD. It is convenient for researchers to recommend system directions and text representation directions, and track and read classic papers and the latest research directions in the industry
4. QuestionAnsweringSystem
address | https://github.com/ysc/QuestionAnsweringSystem |
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star | 1.6k |
fork | 1.2k |
“A human-machine question answering system implemented in Java that can automatically analyze questions and give candidate answers. In the popular American TV quiz show "Jeopardy" in 2011, the AI quiz system Watson developed by IBM defeated human players, and QuestionAnsweringSystem is Watson's Java implementation. From today's point of view, it may not be that smart enough, but because of its simplicity and easy deployment and operation, it is very suitable for novices to play, hurry up and integrate a cool intelligent question and answer system in your application.
5. pg_flame
address | https://github.com/mgartner/pg_flame |
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star | 1.3k |
fork | 18 |
“Postgres database performance analysis tool, show EXPLAIN ANALYZE results through flame graph
6. gpt-2
address | https://github.com/openai/gpt-2 |
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star | 12.0k |
fork | 2.9k |
“OpenAI released the 1.5 billion parameter universal language model GPT-2, the largest model so far! Demonstrates a potential way to build a language processing system that learns to perform tasks based on naturally occurring demonstrations. Example code:
7. milvus
address | https://github.com/milvus-io/milvus |
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star | 3.5k |
fork | 563 |
“An open source similarity search engine for massive feature vectors. Compared with operator libraries such as Faiss and SPTAG, Milvus provides a complete vector data update, indexing and query framework. Milvus uses GPU for index acceleration and query acceleration, which can greatly improve stand-alone performance. Simple deployment and use, reducing the difficulty of AI application landing
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