An autonomous SRE agent that monitors cloud logs across multiple platforms, leveraging AI models from various providers to detect anomalies, perform root cause analysis, and automate remediation by…

Scalene: a high-performance, high-precision CPU, GPU, and memory profiler for Python with AI-powered optimization proposals

20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.

A repository that contains models, datasets, and fine-tuning techniques for DB-GPT, with the purpose of enhancing model performance in Text-to-SQL

This repository contains LLM (Large language model) interview question asked in top companies like Google, Nvidia , Meta , Microsoft & fortune 500 companies.

DeepSeek Coder: Let the Code Write Itself

MySQL version of Northwind demo database

Benchmark framework for running text-to-sql

[ICLR 2025 Oral] Spider 2.0: Evaluating Language Models on Real-World Enterprise Text-to-SQL Workflows

Database Schema Examples we strive to support in Prisma

The production-scale datacenter profiler (C/C++, Go, Rust, Python, Java, NodeJS, .NET, PHP, Ruby, Perl, ...)

A debugging and profiling tool that can trace and visualize python code execution

Apache XTable (incubating) is a cross-table converter for lakehouse table formats that facilitates interoperability across data processing systems and query engines.

Explain complex systems using visuals and simple terms. Help you prepare for system design interviews.

LST-Bench is a framework that allows users to run benchmarks specifically designed for evaluating Log-Structured Tables (LSTs) such as Delta Lake, Apache Hudi, and Apache Iceberg.

Scale LLM Engine public repository

Python SQL Parser and Transpiler

Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencode…

LangChain & Prompt Engineering tutorials on Large Language Models (LLMs) such as ChatGPT with custom data. Jupyter notebooks on loading and indexing data, creating prompt templates, CSV agents, and…

bpftune uses BPF to auto-tune Linux systems

Contains the source code examples described in the "Intel® 64 and IA-32 Architectures Optimization Reference Manual"

problems from dailycodingproblem.com solved in Go

Source code for the X Recommendation Algorithm

Benchmark different ifile formats (KV, MultiKV)

Basic Data Structures in Java and Scala

The book "Performance Analysis and Tuning on Modern CPU"

Readings in Databases

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