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CS@Columbia University
- San Jose, California
- abhishekb.herokuapp.com
Stars
Prof. John Paisley's Machine Learning Course Notes
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
🤖 A selenium script to automatically apply to software engineering internships.
🏋️ Python / Modern C++ Solutions of All 3435 LeetCode Problems (Weekly Update)
Curated list of Go design patterns, recipes and idioms
A list of web links that we recommended, back in the early 2000s.
Preparing for machine learning interviews
Artificial Intelligence Project (CS561) A Writer Identification System for On-line Whiteboard Data
The user-friendly command line shell.
NeurIPS workshop on Advances in Approximate Bayesian Inference
Hacks for training RL systems from John Schulman's lecture at Deep RL Bootcamp (Aug 2017)
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
TensorFlow tutorials and best practices.
Reinforcement Learning Agents in Javascript (Dynamic Programming, Temporal Difference, Deep Q-Learning, Stochastic/Deterministic Policy Gradients)
Neural network visualization toolkit for keras
MuJoCo is a physics engine for detailed, efficient rigid body simulations with contacts. mujoco-py allows using MuJoCo from Python 3.
🍹 An easy, convenient way to automatically update Homebrew.
Minimal Monte Carlo Policy Gradient (REINFORCE) Algorithm Implementation in Keras
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
Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.
Instructions for setting up the software on your deep learning machine
A collection of video resources for machine learning
hoodle : A pen notetaking program written in haskell