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- Talk: Learning to Type by Liam Atkinson at the ml4p.org conference in 2018 [deadlink]
- Awesome ML on Source Code
- Machine Learning on Go Code
- ML on Source Code
- Introducing Experiments, an ongoing research effort from GitHub
- Introducing the CodeSearchNet challenge
- CodeSearchNet Challenge | CodeSearchNet Challenge: Evaluating the State of Semantic Code Search | leaderboard | technical report
- TreeSitter | data preprocessing pipeline
- Baseline models | BERT
- Semantic Search
- tree-based LSTMs
- gated-graph networks
- Fine-tuning Deep Learning models in Keras
- BLEU Score
- Universal Sentence Encoder | Tensorflow Hub
- Neural language model | fast.ai
- AWD LSTMs | cyclical learning rates | Universal Language Model Fine-tuning for Text Classification
- Cosine Proximity Loss | Efficient Natural Language Response Suggestion for Smart Reply
- Code Search implemented in Kubeflow | kubeflow
- Live demo of Semantic Code Search | Experiments site
- Machine Learning on Source Code
- ML on Code devroom at FOSDEM
- The Open Source Show: Machine Learning on Code by Rob Caron, Lacey Butler, Allison Cordle
- Machine Learning for Programming - conference held in 2018 in Oxford, UK
- Text generation models in action - code autocompletion:
- TabNine
- https://github.com/Quantum-Game/quantum-tensors | https://transformer.huggingface.co/doc/gpt2-large (just not Markov Model, but some LSTM or maybe even Transformer)
- TransCoder: An AI from Facebook that uses seq2seq attention model composed of encoder and decoder with transformer architecture to translate code from one programming language to another: Paper | Press release
- Codist AI: Let the AI write your code comments
- GitHub Co-pilot
- An open-source, mini imitation of Github Copilot
- Python-based machine learning project: Code Generator for ML:
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- C# or Java? TypeScript or JavaScript? Machine learning based classification of programming languages
- Towards Natural Language Semantic Code Search
- A Transformer-based Approach for Source Code Summarization