A curated list of practical business machine learning (BML) and business data science (BDS) applications for Accounting, Customer, Employee, Legal, Management and Operations (by @firmai)

PyTorch/TorchScript compiler for NVIDIA GPUs using TensorRT

Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)

Bayesian Deep Learning Benchmarks

Simple but useful Python web scraping tutorial code.

this repository accompanies the book "Grokking Deep Learning"

A framework for using LSTMs to detect anomalies in multivariate time series data. Includes spacecraft anomaly data and experiments from the Mars Science Laboratory and SMAP missions.

Data Analysis Baseline Library

A TensorFlow implementation of DeepMind's Differential Neural Computers (DNC)

coursera吴恩达机器学习课程作业自写Python版本+Matlab原版

Proposes neural networks that can generate animation of virtual characters for different actions.

A pedagogical implementation of Autograd

PyTorch and Tensorflow functional model definitions

The codes I made while I practiced various TensorFlow examples

Recipes for using Python's pandas library

Korean BERT pre-trained cased (KoBERT)

Preparing for machine learning interviews