Stars
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
Awesome-LLM: a curated list of Large Language Model
"LightRAG: Simple and Fast Retrieval-Augmented Generation"
Reinforcement Learning Specialization courses solutions
Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2023
LongQLoRA: Extent Context Length of LLMs Efficiently
Lecture notes, tutorial tasks including solutions as well as online videos for the reinforcement learning course hosted by Paderborn University
Reinforcement Learning Tutorial with Demo: DP (Policy and Value Iteration), Monte Carlo, TD Learning (SARSA, QLearning), Function Approximation, Policy Gradient, DQN, Imitation, Meta Learning, Pape…
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
Tutorials on Big Data essentials: Hadoop, MapReduce, Spark.
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
A one stop repository for generative AI research updates, interview resources, notebooks and much more!
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and cont…
A cryptocurrency trading environment using deep reinforcement learning and OpenAI's gym
Quantitative analysis, strategies and backtests
21 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
Transformer models from BERT to GPT-4, environments from Hugging Face to OpenAI. Fine-tuning, training, and prompt engineering examples. A bonus section with ChatGPT, GPT-3.5-turbo, GPT-4, and DALL…
Multilingual/multidomain question generation datasets, models, and python library for question generation.
Question generation using state-of-the-art Natural Language Processing algorithms
VNHSGE: Vietnamese High School Graduation Examination Dataset for Large Language Models
Ready-to-use code and tutorial notebooks to boost your way into few-shot learning for image classification.
Object Detection Model for Scanned Documents
ICDAR 2019: MaskRCNN on PubLayNet datasets. Paragraph detection, table detection, figure detection,...
MindMap: Knowledge Graph Prompting Sparks Graph of Thoughts in Large Language Models
Real-estate price predictive analysis using Regression, RF , XGBoost and MLP models coded in scikit-learn and TensorFlow.