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Pursuing the magical field of Deep Learning

Ramansh Sharma rsmath

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Pursuing the magical field of Deep Learning
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@nmwsharp
nmwsharp / printarr
Last active August 15, 2024 01:43
Pretty print tables summarizing properties of tensor arrays in numpy, pytorch, jax, etc. --- now on pip: `pip install arrgh`
Pretty print tables summarizing properties of tensor arrays in numpy, pytorch, jax, etc.
Now on pip! `pip install arrgh` https://github.com/nmwsharp/arrgh
@karpathy
karpathy / stablediffusionwalk.py
Last active November 21, 2024 15:34
hacky stablediffusion code for generating videos
"""
stable diffusion dreaming
creates hypnotic moving videos by smoothly walking randomly through the sample space
example way to run this script:
$ python stablediffusionwalk.py --prompt "blueberry spaghetti" --name blueberry
to stitch together the images, e.g.:
$ ffmpeg -r 10 -f image2 -s 512x512 -i blueberry/frame%06d.jpg -vcodec libx264 -crf 10 -pix_fmt yuv420p blueberry.mp4
@KalebNyquist
KalebNyquist / airtable_helper.py
Last active August 6, 2024 02:14
Simple Download/Upload of Airtable Data into/from Python using Airtable API
import requests
import json
import pandas as pd
def airtable_download(table, params_dict={}, api_key=None, base_id=None, record_id=None):
"""Makes a request to Airtable for all records from a single table.
Returns data in dictionary format.
Keyword Arguments:
@andreyryabtsev
andreyryabtsev / backmatting.ipynb
Last active June 5, 2024 04:56
BackMatting.ipynb
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@karpathy
karpathy / pg-pong.py
Created May 30, 2016 22:50
Training a Neural Network ATARI Pong agent with Policy Gradients from raw pixels
""" Trains an agent with (stochastic) Policy Gradients on Pong. Uses OpenAI Gym. """
import numpy as np
import cPickle as pickle
import gym
# hyperparameters
H = 200 # number of hidden layer neurons
batch_size = 10 # every how many episodes to do a param update?
learning_rate = 1e-4
gamma = 0.99 # discount factor for reward