gebob19/introduction_to_normalizing_flows gebob19/introduction_to_normalizing_flows

  • Stars
    star
    25
  • Rank 957,573 (Top 19 %)
  • Language
    Jupyter Notebook
  • License
    MIT License
  • Created over 5 years ago
  • Updated over 1 year ago
Twitter logo Share LinkedIn logo Share Facebook logo Share
gebob19/introduction_to_normalizing_flows
github

gebob19

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

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

More Repositories

1

uniswap-v3-flashswap

example code of uniswapV3 flash swap/loan with hardhat and ethersjs
Solidity
57
star
2

uniswap-v3-token-swap

example code of uniswapV3 token swaps with hardhat and ethersjs
TypeScript
12
star
3

rl_with_jax

clear single-file JAX implementations of common RL algorithms
Python
10
star
4

M2A

Code associated with "M2A: Motion Aware Attention for Accurate Video Action Recognition"
Python
8
star
5

TFRecords_4_videos

💾 🔥 The fastest and easiest to use TFRecords formatter
Python
5
star
6

REPTILE-Metalearning

Full implementation and re-production of the meta-learning algorithm REPTILE
Jupyter Notebook
3
star
7

frequency-interpreter

Verilog
2
star
8

Dropout-Attention

Using layer-specific attention, set the least relevant word-vectors to zero.
Jupyter Notebook
2
star
9

naturalgradient

code for blog post https://gebob19.github.io/natural-gradient/
Python
1
star
10

EyeTrackingPapers

1
star
11

CS294-112---UC-Berkeley-DRL

deep reinforcement learning assignments
Python
1
star
12

TGS-Salt-Identification

Jupyter Notebook
1
star
13

RNN_stock_generation

Notebook associated with blog post
Jupyter Notebook
1
star
14

natural-policy-gradient-reinforcement-learning

code for Understanding the Effects of Second-Order Approximations in Natural Policy Gradient Reinforcement Learning
Python
1
star