Lists (11)
Starred repositories
Nvim Config for Web Development (specially for MERN/Next.js)
AI orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data…
Deep Learning Zero to All - Pytorch
Kubernetes deployment strategies
Book and code where describe each and every topic of neural network from scratch.
FastAPI & Kubernetes Tutorial with PyCharm
Notes for Mathematics for Machine learning and Data Science.
7
Updated Nov 2, 2025
[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.
Private AI platform for agents, assistants and enterprise search. Built-in Agent Builder, Deep research, Document analysis, Multi-model support, and API connectivity for agents.
Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
Versatile End-to-End Recommender System
FastAPI middleware for enabling maintenance mode
Python library & framework to build custom translators for the hearing-impaired and translate between Sign Language & Text using Artificial Intelligence.
A very simple framework for state-of-the-art Natural Language Processing (NLP)
Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
Python extension for MurmurHash (MurmurHash3), a set of fast and robust hash functions.
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
🧮 A collection of resources to learn mathematics for machine learning
Tensors and Dynamic neural networks in Python with strong GPU acceleration
📺 Discover the latest machine learning / AI courses on YouTube.
label-smooth, amsoftmax, partial-fc, focal-loss, triplet-loss, lovasz-softmax. Maybe useful
🇺🇦 Your meetings at your fingertips in the macOS menu bar
Examples of using common Python profiling techniques