An AI Hedge Fund Team

Course notes aggregated from Roger Grosse and Jimmy Ba's Neural Networks and Deep Learning Class at UofT

🤖 Build voice-based LLM agents. Modular + open source.

This repository implements a Retrieval-Augmented Generation (RAG) approach leveraging advanced Language Models (LLMs). RAG combines the power of pre-trained LLMs with efficient information retrieva…

A Repository consisting resources primarily of the Gate DA and AI

Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

All Algorithms implemented in Python

A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems"

Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.

AutoQuantLLM is an efficient and flexible tool designed to help you quantize machine learning models with ease. Supporting multiple quantization methods and types, this tool allows you to optimize …

This Open LLM Framework serves as a powerful and flexible tool for serving endpoints for embeddings and chat completions using SOTA open source language models. By leveraging models Transformers, t…

Learn how to create, develop, and maintain a state-of-the-art MLOps code base

Curated list of datasets and tools for post-training.

Machine Learning and Computer Vision Engineer - Technical Interview Questions

ManimML is a project focused on providing animations and visualizations of common machine learning concepts with the Manim Community Library.

Fetch and visualize the graph of your Twitter friends and followers.

Automatic text generation using LSTM networks for generating text similar to a given input

This is a simple Flask API that provides wine variety classification based on their descriptions. The API uses an XGBoost model and an NLTK tokenizer to perform the classification.

Interact with your documents using the power of GPT, 100% privately, no data leaks

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

A scratch implementation of Convolutional Neural Network in Python using only numpy and validated over CIFAR-10 & MNIST Dataset

Clone a voice in 5 seconds to generate arbitrary speech in real-time

Find script examples that you can run out of the box in your SingleStoreDB.

Chat with your database or your datalake (SQL, CSV, parquet). PandasAI makes data analysis conversational using LLMs and RAG.

It is a Natural Language Processing Problem where Sentiment Analysis is done by Classifying the Positive tweets from negative tweets by machine learning models for classification, text mining, text…

Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.

Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!

Learn how to design, develop, deploy and iterate on production-grade ML applications.