🦜🔗 Build context-aware reasoning applications

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

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

Overview and tutorial of the LangChain Library

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

PyTorch code for BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation

Jupyter Notebooks to help you get hands-on with Pinecone vector databases

A collection of notebooks for Natural Language Processing from NLP Town

Official repository of my book: "Deep Learning with PyTorch Step-by-Step: A Beginner's Guide"

Python Algorithmic Trading Cookbook, published by Packt

Introduction to Manifold Learning - Mathematical Theory and Applied Python Examples (Multidimensional Scaling, Isomap, Locally Linear Embedding, Spectral Embedding/Laplacian Eigenmaps)

Building NER and RE components using HuggingFace Transformers

Collection of tensorflow notebooks tutorials for implementing some basic Deep Learning architectures.

This is an introduction for beginners to Retrieval-Augmented Generation (RAG) with Llama 2 and LangChain to perform generative question answering (QA).

Video Summarization Transformer: Implementation in PyTorch of the Transformer model for video summarisation

Implementing DQN for different games from OpenAI gym environment

Option Pricing Model with Black-Scholes, Monte Carlo and Binomial Tree Methods