karthikrajkumar Goto Github PK

alpha-zero

AlphaZero implementation for Othello, Connect-Four and Tic-Tac-Toe based on "Mastering the game of Go without human knowledge" and "Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm" by DeepMind.

aroma-paper-artifacts

Paper Artifacts for "Aroma: Code Recommendation via Structural Code Search"

auto-gpt

An experimental open-source attempt to make GPT-4 fully autonomous.

baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

code_validator

This is developed for the code review experiment.

codegen

CodeGen is an open-source model for program synthesis. Trained on TPU-v4. Competitive with OpenAI Codex.

codesearchnet

Datasets, tools, and benchmarks for representation learning of code.

coding-interview-university

A complete computer science study plan to become a software engineer.

collaboration-and-competition

Pytorch version of Multi agent DDPG.

continuous-control

Training an agent of reacher environment (Unity). It has been implemented in pytorch

cs224w-notes

CS224W Course Notes

cvefixes

CVEfixes: Automated Collection of Vulnerabilities and Their Fixes from Open-Source Software

datasets

source{d} datasets ("big code") for source code analysis and machine learning on source code

deep-q-network-pytorch

Implementation of Vanilla DQN in Pytorch

deep-q-network-tensorflow

Building a Deep Q Network with tensorflow and python

deepmind-research

This repository contains implementations and illustrative code to accompany DeepMind publications

deepwalk

DeepWalk - Deep Learning for Graphs

demo

ICSE 2019 Demo

distributed-system-design

A curated collection of approaches to creating large scale distributed systems.

dlfnd-quadcopterrl

docker-mysql-master-slave

Docker MySQL master-slave replication

dsa-coding-interview-questions-oa

e-maxx-eng

Translation of http://e-maxx.ru into English

employee-churn-predictive-model

Predicting Employee Churn with Supervised Machine Learning

esu-algorithm

To implement a GUI-based program for visualizing how the ESU algorithm finds unique subgraphs. The program should be able to read a graph from file, and display each step in building the tree. Functionality will include being able to pause the tree-building process and take individual steps.

fairing

Python SDK for building, training, and deploying ML models

features-javac

A javac plugin for extracting a feature graph for plugging in to machine learning models

gated-graph-neural-network-samples

Sample Code for Gated Graph Neural Networks

graph-based-code-modelling

Code for "Generative Code Modeling with Graphs" (ICLR'19)

graphcast