Chris Cundy (C-J-Cundy)

C-J-Cundy

Geek Repo

Location:Palo Alto, USA

Home Page:cundy.me

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Chris Cundy's repositories

gpt4-tokenizer

Hosting the JSON for the GPT4 Tokenizer

CudnnLSTM-test

Testing the CUDA implementation of the LSTM cell with tensorflow bindings

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BIHRL

Code for the paper 'Exploring Hierarchy-Aware Inverse Reinforcement Learning'

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research_assistant

A minimal working example of a research assistant with local code execution

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lstm-joke

A project to run an LSTM on a corpus of jokes downloaded from reddit (r/jokes)

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optimal-bandit

optimal-bandit

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trl

Train transformer language models with reinforcement learning.

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.dotfiles

Config information to quickly configure remote machines

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al-folio

A beautiful Jekyll theme for academics

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brax

Massively parallel rigidbody physics simulation on accelerator hardware.

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C-J-Cundy.github.io

Test for GH pages

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char-rnn-tensorflow

Multi-layer Recurrent Neural Networks (LSTM, RNN) for character-level language models in Python using Tensorflow.

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diffraction-project

A short project I undertook in 3rd year to develop and investigate the diffraction patterns of degraded radio antenna dishes

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elfeed-score

Gnus-style scoring for elfeed

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flycheck

On the fly syntax checking for GNU Emacs

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gpt4-memorizes-project-euler

Code for the blog post detailing how GPT4 memorizes Project Euler solutions

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IQ-Learn

(NeurIPS '21 Spotlight) IQ-Learn: Inverse Q-Learning for Imitation

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machinelearningintro

boilerplate code, scripts, modules, data for Introduction to Machine Learning with Python

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NuX

Normalizing Flows using JAX

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preparedness-insider-trading

Preparedness Challenge Submission -- Insider Trading

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protobuf

Protocol Buffers - Google's data interchange format

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tealight-files

Master copy of the tealight-files repo forked into each user's github.

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tflearn

Deep learning library featuring a higher-level API for TensorFlow.

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tilt

Implementing and evaluating the `tilt` optimizer from Eric Drexler

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transformers

🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.

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