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Pytorch reimplementation of the Vision Transformer (An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale)
This material is based on the System Design Masterclass (2025) course available on Udemy. You can find the course here: System Design Masterclass. You can also find many free resources related to t…
This repo contains the code for Enhancing Multi Task Learning for Image Segmentation using soft attention blocks and self-supervised auxiliary tasks.
Neural text-to-text question generation
Fish-like autosuggestions for zsh
Free MLOps course from DataTalks.Club
An extremely fast Python package and project manager, written in Rust.
image scene graph generation benchmark
Awesome-LLM: a curated list of Large Language Model
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning …
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.
An object-oriented algebraic modeling language in Python for structured optimization problems.
InstructLab Core package. Use this to chat with a model and execute the InstructLab workflow to train a model using custom taxonomy data.
TorchMultimodal is a PyTorch library for training state-of-the-art multimodal multi-task models at scale.
Chat with your documents on your local device using GPT models. No data leaves your device and 100% private.
Finetune Llama 3.3, DeepSeek-R1 & Reasoning LLMs 2x faster with 70% less memory! 🦥
QLoRA: Efficient Finetuning of Quantized LLMs
the AI-native open-source embedding database
A graph database that supports more than 100+ billion data, high performance and scalability (Include OLTP Engine & REST-API & Backends)
The code to accompany the freeCodeCamp tutorial explaining how to use large language models to build a semantic book recommender.
The Python micro framework for building web applications.
My curated list of resources on Data Science, Machine Learning, and Quantitative Finance