Name: Abhishek Srivastava
Type: User
Company: Northeastern University
Bio: MS AI grad student at Northeastern University.
I am very excited about the new possibilities with AI and always open to collaborate and discuss new things.
Location: Boston
Abhishek Srivastava's Projects
This project is a simple re-implementation of counter factual regret minimization on [2-1] texas holdem poker. The Algorithm tries to achieve Nash equilibrium.
this repo is worked example from cfr paper
Template Makefile for ML projects in Python.
This repository is in sync with EDX deep learning course with pytorch and has collection of codes done for this course.
On-line Machine Learning in Go (and so much more)
A re implementation of AlphaGoZero over Gomoku
A Repo for all Kaggle Competetions
A repo to maintain all latest things learned
Natural Gradient Boosting for Probabilistic Prediction
Spike neural network