Nick Dingwall (ndingwall)

ndingwall

Geek Repo

Company: @nickdingwall

Location:London

Home Page:ndingwall.github.io

Github PK Tool:Github PK Tool

Nick Dingwall's repositories

RDQN

Train a recurrent neural network in a reinforcement learning setting

Language:MatlabStargazers:1Issues:3Issues:0
Language:Jupyter NotebookLicense:Apache-2.0Stargazers:0Issues:0Issues:0

blog-archive

Personal blog

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:0Issues:1Issues:0

cattree

Native support for categorical variables in sklearn's tree-based models

Language:PythonLicense:MITStargazers:0Issues:0Issues:0

gists

Gists for use in GraphGists.

Stargazers:0Issues:0Issues:0

kaggle-telematics

Nick and James's work on the Kaggle AXA telematics competition

Language:PythonStargazers:0Issues:0Issues:0

LEDMatrixShades

Firmware for the LED Matrix Shades

Language:CLicense:MITStargazers:0Issues:0Issues:0

LEDMatrixShadesAudio

Audio example code for the LED Matrix Shades with MSGEQ7

Language:CStargazers:0Issues:0Issues:0

mac_setup_scripts

Code to quickly set up a new mac

Language:ShellStargazers:0Issues:1Issues:0

minGPT

A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

Language:Jupyter NotebookLicense:MITStargazers:0Issues:0Issues:0

ml-workspace

🛠 All-in-one web-based IDE specialized for machine learning and data science.

License:Apache-2.0Stargazers:0Issues:0Issues:0

nbdev-tutorial

Hello world using nbdev

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:0Issues:1Issues:0

nbdev_template

Template for nbdev projects

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:0Issues:0Issues:0

ndingwall.github.io

Blog redirect

Language:HTMLStargazers:0Issues:0Issues:0

scikit-learn

scikit-learn: machine learning in Python

License:BSD-3-ClauseStargazers:0Issues:0Issues:0

simple-bert

A simple PyTorch implementation of BERT, complete with pretrained models and training scripts.

Stargazers:0Issues:0Issues:0

simpletransformers

Transformers for Classification, NER, QA, Language Modelling, Language Generation, T5, Multi-Modal, and Conversational AI

Language:PythonLicense:Apache-2.0Stargazers:0Issues:0Issues:0

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

License:Apache-2.0Stargazers:0Issues:0Issues:0

xgboost

Large-scale and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, on single node, hadoop yarn and more.

Language:C++License:NOASSERTIONStargazers:0Issues:1Issues:0