gebob19

Dropout-Attention

Using layer-specific attention, set the least relevant word-vectors to zero.

frequency-interpreter

introduction_to_normalizing_flows

Jupyter Notebook corresponding to 'Going with the Flow: An Introduction to Normalizing Flows'

M2A

Code associated with "M2A: Motion Aware Attention for Accurate Video Action Recognition"

natural-policy-gradient-reinforcement-learning

code for Understanding the Effects of Second-Order Approximations in Natural Policy Gradient Reinforcement Learning

REPTILE-Metalearning

Full implementation and re-production of the meta-learning algorithm REPTILE

rl_with_jax

clear single-file JAX implementations of common RL algorithms

TFRecords_4_videos

:floppy_disk: :fire: The fastest and easiest to use TFRecords formatter

uniswap-v3-flashswap

example code of uniswapV3 flash swap/loan with hardhat and ethersjs

uniswap-v3-token-swap

example code of uniswapV3 token swaps with hardhat and ethersjs

gebob19/uniswap-v3-flashswap

example code of uniswapV3 flash swap/loan with hardhat and ethersjs

gebob19/introduction_to_normalizing_flows

Jupyter Notebook corresponding to 'Going with the Flow: An Introduction to Normalizing Flows'

gebob19/uniswap-v3-token-swap

example code of uniswapV3 token swaps with hardhat and ethersjs

gebob19/rl_with_jax

clear single-file JAX implementations of common RL algorithms

gebob19/M2A

Code associated with "M2A: Motion Aware Attention for Accurate Video Action Recognition"

gebob19/TFRecords_4_videos

:floppy_disk: :fire: The fastest and easiest to use TFRecords formatter

gebob19/natural-policy-gradient-reinforcement-learning

code for Understanding the Effects of Second-Order Approximations in Natural Policy Gradient Reinforcement Learning

gebob19/REPTILE-Metalearning

Full implementation and re-production of the meta-learning algorithm REPTILE

gebob19/Dropout-Attention

Using layer-specific attention, set the least relevant word-vectors to zero.

gebob19/naturalgradient

code for blog post https://gebob19.github.io/natural-gradient/

gebob19/RNN_stock_generation

Notebook associated with blog post

gebob19/anon-web-scrapper

web scraper using TOR to mask your IP

gebob19/baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

gebob19/DRL-Research-AFSR

Learning an agent-focused state representation

gebob19/gebob19.github.io

gebob19/gebob19.github.io_v1

da website (super helpful - https://www.drewsilcock.co.uk/custom-jekyll-plugins)

gebob19/gebob19.github.io_v2

gebob19/minima

Minima is a one-size-fits-all Jekyll theme for writers.

gebob19/NeuralNetworkRegularization

gebob19/nlp-stanford-cs224n

Natural Language Processing Assignments

gebob19/Noise2Noise-Cryo-EM-image-denoising

pytorch implementation of noise2noise for Cryo-EM image denoising

gebob19/RGAN

Recurrent (conditional) generative adversarial networks for generating real-valued time series data.

gebob19/rust_python

simple example which ports rust functions for usage in python

gebob19/sample-factory

High throughput asynchronous reinforcement learning

gebob19/sleek

:chart_with_upwards_trend: Sleek is a modern Jekyll theme focused on speed performance & SEO best practices

gebob19/solana

Web-Scale Blockchain for fast, secure, scalable, decentralized apps and marketplaces.

gebob19/solana-program-library

A collection of Solana-maintained on-chain programs

gebob19/supervised-reptile

Code for the paper "On First-Order Meta-Learning Algorithms"

gebob19/tmp_jax

gebob19/UnsupervisedScalableRepresentationLearningTimeSeries

Unsupervised Scalable Representation Learning for Multivariate Time Series: Experiments