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Learning-to-Optimize
An implementation of the 2016 meta-learning paper "Learning to Optimize" from the BAIR lab at Berkeley.merchant
A package manager for the Mercury logic programming language.pong-with-policy-gradients
Code for an intro to RL workshop. You'll be training a simple agent to play pong using policy gradients. Adapted from http://karpathy.github.io/2016/05/31/rl/Motion-Planning-in-CARLA
My final project solution from Coursera's Motion Planning for Self-Driving Cars.mercury-vim
Personal fork of a Vim plugin for the Mercury language.EasyTeX
A browser-based math editor focused on readability.Assembling-Jigsaw-Puzzles-Efficiently
Reimplementing the 2016 paper "Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles".Discourse
Discourse - a study app based on natural language interactions.Making-Rational-Protein-Design-Artifically-Intelligent
Our final project for Deep Learning in Discrete Optimization taught by Bill Cook. We developed an ML-based branching rule for solving Protein Design problems in Weighted Constraint Satisfaction form.nn-functional-mapping-visualization
Visualization tool for neural networks that transforms high dimensional functional relationships between nodes into spatial ones.haskell-raytracer
A raytracer written in Haskell.AR-Project
haskell-skiplist
A pure implementation of a skiplist in Haskell.SAIL-Study
An orthopedic education tool based on natural language interactions.Turn-Game-Haskell
Turn is a simple one button multiplayer game where you try to avoid getting hit longer than your rival.RRT-Visualisation
A simple animated javascript visualisation of Rapidly-exploring Random Tree growthElkridge-Food-Pantry
For distributed development ofPhaedrus-GPT
A Raspberry Pi voice assistant powered by OpenAI Whisper, Chat-GPT, and Google/ElevenLabs TTS.Love Open Source and this site? Check out how you can help us