deep-learning

A curated collection of AI, data engineering, and DevOps projects featuring real-world applications, advanced techniques, and tutorials—ideal for learners and practitioners exploring data science and machine learning.

A Japanese (Riichi) Mahjong AI Framework

A curated list of awesome Multimodal studies.

My journey to learn and grow in the domain of Machine Learning and Artificial Intelligence by performing the #100DaysofMLCode Challenge. Now supported by bright developers adding their learnings :+1:

Implementation of "PaLM-E: An Embodied Multimodal Language Model"

Weaviate vector database – examples

Cybertron: the home planet of the Transformers in Go

Implementation of Encoder-based Domain Tuning for Fast Personalization of Text-to-Image Models

Colab notebook for Stable Diffusion Hyper-SDXL.

Vector AI — A platform for building vector based applications. Encode, query and analyse data using vectors.

Explorations into training LLMs to use clinical calculators from patient history, using open sourced models. Will start with Wells' Criteria

A holistic way of understanding how Llama and its components run in practice, with code and detailed documentation.

ClearML Agent - MLOps/LLMOps made easy. MLOps/LLMOps scheduler & orchestration solution

PyTorch code for ETSformer: Exponential Smoothing Transformers for Time-series Forecasting

Benchmarking synthetic data generation methods.

PMetal: high-performance Apple Silicon framework for local LLM inference, LoRA/QLoRA fine-tuning, serving, quantization, and MLX/Metal acceleration.

A friendly community offering free AI education.

吴恩达《ChatGPT Prompt Engineering for Developers》课程中英版

Explorations into some recent techniques surrounding speculative decoding

Implementation of Transformer in Transformer, pixel level attention paired with patch level attention for image classification, in Pytorch