Goals: Add links that are reasonable and good explanations of how stuff works. No hype and no vendor content if possible. Practical first-hand accounts of models in prod eagerly sought.
![Screenshot 2023-12-18 at 10 40 27 PM](https://private-user-images.githubusercontent.com/3837836/291468646-4c30ad72-76ee-4939-a5fb-16b570d38cf2.png?jwt=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.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.CiFIcyL_uRfV8lEJOrp2DYUZLGprgC5HacL27ujqLV0)
If you want a run-down of the 1.3 changes and the design decisions behidn those changes, check out the LonestarElixir Phoenix 1.3 keynote: https://www.youtube.com/watch?v=tMO28ar0lW8
To use the new phx.new
project generator, you can install the archive with the following command:
$ mix archive.install https://github.com/phoenixframework/archives/raw/master/phx_new.ez
Phoenix v1.3.0 is a backwards compatible release with v1.2.x. To upgrade your existing 1.2.x project, simply bump your phoenix dependency in mix.exs
:
""" 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 |
package example_test | |
import ( | |
"crypto/aes" | |
"crypto/cipher" | |
"hex" | |
"io" | |
) | |
// AES-GCM should be used because the operation is an authenticated encryption |
2015-01-29 Unofficial Relay FAQ
Compilation of questions and answers about Relay from React.js Conf.
Disclaimer: I work on Relay at Facebook. Relay is a complex system on which we're iterating aggressively. I'll do my best here to provide accurate, useful answers, but the details are subject to change. I may also be wrong. Feedback and additional questions are welcome.
Relay is a new framework from Facebook that provides data-fetching functionality for React applications. It was announced at React.js Conf (January 2015).
http { | |
log_format bodylog '$remote_addr - $remote_user [$time_local] ' | |
'"$request" $status $body_bytes_sent ' | |
'"$http_referer" "$http_user_agent" $request_time ' | |
'<"$request_body" >"$resp_body"'; | |
lua_need_request_body on; | |
set $resp_body ""; | |
body_filter_by_lua ' |
Only do this if you understand the consequences: all node programs will be able to bind on ports < 1024
sudo setcap 'cap_net_bind_service=+ep' /usr/local/bin/node
Important: your node location may vary. Use which node
to find it, or use it directly in the command: