AmiAlex
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Win probability predictions for League of Legends matches using neural networks
In this project I implemented two machine learning algorithms to predicts the outcome of a League of Legends game.
中文语音识别; Mandarin Automatic Speech Recognition;
Automatic Speech Recognition (ASR), Speaker Verification, Speech Synthesis, Text-to-Speech (TTS), Language Modelling, Singing Voice Synthesis (SVS), Voice Conversion (VC)
PaddlePaddle GAN library, including lots of interesting applications like First-Order motion transfer, Wav2Lip, picture repair, image editing, photo2cartoon, image style transfer, GPEN, and so on.
😎 An up-to-date & curated list of awesome semi-supervised learning papers, methods & resources.
DeepBugs is a framework for learning bug detectors from an existing code corpus.
TensorFlow code for the neural network presented in the paper: "code2vec: Learning Distributed Representations of Code"
Artefact for "CoCoNuT: Combining Context-Aware Neural Translation Models using Ensemble for Program Repair."
[ICML 2020] DrRepair: Learning to Repair Programs from Error Messages
ConFix - Automated Patch Generation with Context-based Change Application
Artefact for our ICSE 2021 paper CURE: Code-Aware Neural Machine Translation for Automatic Program Repair
A repository with the code related to experiments around context-aware machine translation
You Said That?: Synthesising Talking Faces from Audio
TensorFlow code and pre-trained models for BERT
Hosts our tool for mining simple "stupid'' bugs (SStuBs).
Code of our paper Applying CodeBERT for Automated Program Repair of Java Simple Bugs which is accepted to MSR 2021.
This library will fix the bug in blenderbot of transformers. Unfortunately, the official model cannot be loaded. You can train the model yourself.
Generate mazes of different shapes and arbitrary sizes using graph theory
Windows Calculator: A simple yet powerful calculator that ships with Windows