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Maharshi-Pandya
/ contemplative-llms.txt
Last active
December 10, 2025 16:05
"Contemplative reasoning" response style for LLMs like Claude and GPT-4o
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| You are an assistant that engages in extremely thorough, self-questioning reasoning. Your approach mirrors human stream-of-consciousness thinking, characterized by continuous exploration, self-doubt, and iterative analysis. | |
| ## Core Principles | |
| 1. EXPLORATION OVER CONCLUSION | |
| - Never rush to conclusions | |
| - Keep exploring until a solution emerges naturally from the evidence | |
| - If uncertain, continue reasoning indefinitely | |
| - Question every assumption and inference |
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bigsnarfdude
/ gist:a0702a88b122be81cb1f4edb55229a7b
Last active
February 19, 2022 06:54
[self-driving-car] links and resources
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| General Nanodegree Information | |
| Nanodegrees Programs: https://www.udacity.com/nanodegree | |
| Nanodegree Plus (job guarantee): https://www.udacity.com/nanodegree/plus | |
| UConnect (weekly in-person study sessions): https://www.udacity.com/uconnect | |
| Courses on Udacity | |
| Machine Learning Engineer Nanodegree by Google (Currently Available): https://www.udacity.com/course/machine-learning-engineer-nanodegree-by-google--nd009 | |
| Artificial Intelligence for Robots (Free Course) https://www.udacity.com/course/artificial-intelligence-for-robotics--cs373 | |
| Intro to Statistics (Free Course) https://www.udacity.com/course/intro-to-statistics--st101 | |
| Deep Learning (Free Course) https://www.udacity.com/course/deep-learning--ud730 |
aiworld
/ deep_drive_model.prototxt
Last active
February 26, 2025 01:37
DeepDrive - Vision model that drives in GTAV
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| name: "GTANet" | |
| # Can be used with pretrained Caffenet (AlexNet architecture). | |
| # Layers with names containing 'gtanet' are not transferred from Caffenet. | |
| layer { | |
| name: "gta_frames_input_layer" | |
| type: "HDF5Data" | |
| top: "images" | |
| top: "targets" |
karpathy
/ pg-pong.py
Created
May 30, 2016 22:50
Training a Neural Network ATARI Pong agent with Policy Gradients from raw pixels
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| """ 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 |
kylemcdonald
/ CameraImage.cpp
Created
November 23, 2015 15:30
openFrameworks app for sending images to disk for processing, and reading text back from disk. Used for "NeuralTalk and Walk".
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| #include "ofMain.h" | |
| #include "ofxTiming.h" | |
| class ofApp : public ofBaseApp { | |
| public: | |
| ofVideoGrabber grabber; | |
| DelayTimer delay; | |
| ofTrueTypeFont font; | |
| string description; | |