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Machine learning is the study and development of data-driven strategies to enhance task performance. AI includes it.
Top2Vec learns jointly embedded topic, document and word vectors.
Graph Neural Networks with Keras and Tensorflow 2.
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
A set of packages to make exporting artifacts from GitHub easier
Implementation of Graph Convolutional Networks in TensorFlow
This is the course project for CSCE585: ML Systems. Students will build their machine learning systems based on the provided infrastructure --- Athena.
DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers.
🤖 💬 Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts)
Code and data for ACL20 paper "Incorporating External Knowledge through Pre-training for Natural Language to Code Generation"
TensorFlow code for the neural network presented in the paper: "code2vec: Learning Distributed Representations of Code"
Analyzes bug reports according to some pre-defined metrics.
Sequential model-based optimization with a `scipy.optimize` interface
Welcome to the Bot Framework samples repository. Here you will find task-focused samples in C#, JavaScript/TypeScript, and Python to help you get started with the Bot Framework SDK!
Best Practices on Recommendation Systems
Replication package of CROKAGE: Crowd Knowledge Answer Generator
GZoltar - Java Library for Automatic Debugging http:https://www.gzoltar.com
Improving IR-Based Bug Localization with Context-Aware Query Reformulation
This repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.
A python tool for evaluating the quality of sentence embeddings.
Caffe2 is a lightweight, modular, and scalable deep learning framework.
Tools and scripts to analyze Koders's usage log
A static analyzer for Java, C, C++, and Objective-C