機械学習 · GitHub

Hera makes Python code easy to orchestrate on Argo Workflows through native Python integrations. It lets you construct and submit your Workflows entirely in Python. ⭐️ Remember to star!

A pytorch reimplementation of CheXNet

Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.

A curated list of applied machine learning and data science notebooks and libraries across different industries.

A PyTorch and TorchDrug based deep learning library for drug pair scoring. (KDD 2022)

Distributed High-Performance Symbolic Regression in Julia

TensorFlow Lite Samples on Unity

Integrating the Best of TF into PyTorch, for Machine Learning, Natural Language Processing, and Text Generation. This is part of the CASL project: http://casl-project.ai/

• Interfaces and variable sharing in PyTorch convention
• Excellent factorization and rich functionalities in TF convention.

Light your way in Deep Learning with Torch 🔦

an open-source implementation of sequence-to-sequence based speech processing engine

• Hybrid Attention/CTC based end-to-end and streaming methods(ASR)
• Text-to-Speech(FastSpeech/FastSpeech2/Transformer)