NihalJain
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A collection of my book notes on various subjects, mainly computer science
Deep Learning Specialization by Andrew Ng on Coursera.
This is a repo with links to everything you'd ever want to learn about data engineering
Apache Pinot - A realtime distributed OLAP datastore
Zstandard - Fast real-time compression algorithm
FoundationDB - the open source, distributed, transactional key-value store
Utilities intended for use with Llama models.
Audiocraft is a library for audio processing and generation with deep learning. It features the state-of-the-art EnCodec audio compressor / tokenizer, along with MusicGen, a simple and controllable…
Learn System Design concepts and prepare for interviews using free resources.
A resource to help you pass system design interview and become good at work 👇
The Patterns of Scalable, Reliable, and Performant Large-Scale Systems
A collection of inspiring lists, manuals, cheatsheets, blogs, hacks, one-liners, cli/web tools and more.
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.
A self-contained, ready to run Airflow ELT project. Can be run locally or within codespaces.
SeaTunnel is a next-generation super high-performance, distributed, massive data integration tool.
real time face swap and one-click video deepfake with only a single image
Free, simple, and intuitive online database diagram editor and SQL generator.
Problem statements on System Design and Software Architecture as part of Arpit's System Design Masterclass
SWE-agent takes a GitHub issue and tries to automatically fix it, using GPT-4, or your LM of choice. It can also be employed for offensive cybersecurity or competitive coding challenges. [NeurIPS 2…
A modern replacement for Redis and Memcached
Emote Portrait Alive: Generating Expressive Portrait Videos with Audio2Video Diffusion Model under Weak Conditions
🦜🔗 Build context-aware reasoning applications
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
BigQuery data source for Apache Spark: Read data from BigQuery into DataFrames, write DataFrames into BigQuery tables.