Stars
A cheatsheet of modern C++ language and library features.
Resource list for generating JSON using LLMs via function calling, tools, CFG. Libraries, Models, Notebooks, etc.
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
Example code for my building and deploying microservices with event sourcing, CQRS and Docker presentation
📚 ✏️ 🎓 A collection of textbooks, links and resources during our studying years in NUS SoC
Apache Spark - A unified analytics engine for large-scale data processing
🇸🇬 A list of useful APIs in Singapore for developers to use.
Jeff Dean's latency numbers plotted over time
Cap'n Proto serialization/RPC system - core tools and C++ library
FinRL®: Financial Reinforcement Learning. 🔥
CS6101-Team / Beyond-IGMC
Forked from muhanzhang/IGMCWe extend from the IGMC model by introducing Graph Normalization and alternative layer aggregation methods.
The fundamental package for scientific computing with Python.
A list of back-end related questions you can be inspired from to interview potential candidates, test yourself or completely ignore
Bootstrap Kubernetes the hard way. No scripts.
Production-Grade Container Scheduling and Management
Predicting total battery cycle life time with machine learning
Python Kalman filtering and optimal estimation library. Implements Kalman filter, particle filter, Extended Kalman filter, Unscented Kalman filter, g-h (alpha-beta), least squares, H Infinity, smoo…
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filte…
Predicting Usable Lifetime of Lithium Ion Batteries
This repository contains much of the data, code, and visualizations associated with this manuscript:
Stock sentiments analysis on data scrapped from Reddit using PRAW and analysing sentiments using Wit.AI.
Reference implementations of MLPerf™ training benchmarks
Inductive graph-based matrix completion (IGMC) from "M. Zhang and Y. Chen, Inductive Matrix Completion Based on Graph Neural Networks, ICLR 2020 spotlight".
Automated cryptocurrency trading bot
Must-read papers on graph neural networks (GNN)
This repository contains Deep Learning based articles , paper and repositories for Recommender Systems
A guideline for building practical production-level deep learning systems to be deployed in real world applications.