aaquibtabrez

aaquibtabrez's Stars

• karpathy/minGPT

  A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

  Language:Python20.1k2.5k

• jonbarron/website

  Language:HTML2.6k2.1k

• shreyashankar/overleave

  Chrome extension that opens and syncs Overleaf compiled pdfs in a new window.

  Language:JavaScript1237

• kailashahirwar/cheatsheets-ai

  Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essential-cheat-sheets-for-machine-learning-and-deep-learning-researchers-efb6a8ebd2e5

  15.1k3.4k

• chiphuyen/just-pandas-things

  An ongoing list of pandas quirks

  Language:Jupyter Notebook944132

• joschu/trajopt

  Trajectory Optimization

  Language:C++378161

• cyberbotics/webots

  Webots Robot Simulator

  Language:C++3.2k1.7k

• csinva/csinva.github.io

  Slides, paper notes, class notes, blog posts, and research on ML 📉, statistics 📊, and AI 🤖.

  Language:HTML558107

• eemlcommunity/PracticalSessions2020

  Repository for tutorial sessions at EEML2020

  Language:Jupyter Notebook27157

• jgkawell/docker-scripts

  This is a repository for helpful Docker scripts and tools.

  Language:Shell2

• correlllab/nn4mc_cpp

  Neural Networks for Microcontrollers

  Language:C++297

• HarisIqbal88/PlotNeuralNet

  Latex code for making neural networks diagrams

  Language:TeX22.1k2.9k

• cairo-robotics/cairo-lfd

  Learnning from demonstration (lfd) packages supporting robotic kinesthetic learning from demonstration.

  Language:Python71

• TathagataChakraborti/mmp

  Explanations in Multi-Model Planning

  Language:Python102

• microsoft/singleshotpose

  This research project implements a real-time object detection and pose estimation method as described in the paper, Tekin et al. "Real-Time Seamless Single Shot 6D Object Pose Prediction", CVPR 2018. (https://arxiv.org/abs/1711.08848).

  Language:Python723214

• karpathy/reinforcejs

  Reinforcement Learning Agents in Javascript (Dynamic Programming, Temporal Difference, Deep Q-Learning, Stochastic/Deterministic Policy Gradients)

  Language:HTML1.3k340

• google-deepmind/trfl

  TensorFlow Reinforcement Learning

  Language:Python3.1k386

• luanfujun/deep-painterly-harmonization

  Code and data for paper "Deep Painterly Harmonization": https://arxiv.org/abs/1804.03189

  Language:Cuda6.1k626

• david-abel/state_abstraction

  Code for abstracting, evaluating, and visualizing Markov Decision Processes.

  Language:TeX102

• david-abel/rl_abstraction

  Code for experimenting with state and action abstractions in reinforcement learning.

  Language:Python3011

• dennybritz/reinforcement-learning

  Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

  Language:Jupyter Notebook20.5k6k

• aikorea/awesome-rl

  Reinforcement learning resources curated

  8.8k1.8k

• rddy/isql

  Inferring beliefs about dynamics from behavior

  Language:Jupyter Notebook282

• nfitter/BaxterFaces

  166

• google/dopamine

  Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

  Language:Jupyter Notebook10.5k1.4k