ML
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
openpilot is an operating system for robotics. Currently, it upgrades the driver assistance system on 300+ supported cars.
Tesseract Open Source OCR Engine (main repository)
Predict time-series with one line of code.
Latex code for making neural networks diagrams
API for the GPT-J language model 🦜. Including a FastAPI backend and a streamlit frontend
Code for the paper "Language Models are Unsupervised Multitask Learners"
TensorFlow's Visualization Toolkit
Pre-trained TensorFlow.js models for the Model Asset Exchange
Coding exercises for the Natural Language Processing concentration, part of Udacity's AIND program.
This repository contains implementations and illustrative code to accompany DeepMind publications
Python machine learning applications in image processing, recommender system, matrix completion, netflix problem and algorithm implementations including Co-clustering, Funk SVD, SVD++, Non-negative…
A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API
You like pytorch? You like micrograd? You love tinygrad! ❤️
A toolkit for developing and comparing reinforcement learning algorithms.
Chess reinforcement learning by AlphaGo Zero methods.
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep lear…
Jupyter Notebooks for Springer book "Python for Probability, Statistics, and Machine Learning"
Basic Machine Learning implementation with python
This repository is my attempt to help Data Science aspirants gain necessary Data Visualization skills required to progress in their career. It includes all the types of plot offered by Seaborn, app…
Plain python implementations of basic machine learning algorithms
A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
Pragmatic microkernel-based OS with fully asynchronous I/O
code for reproducing some of the diagrams in the paper "Multimodal Neurons in Artificial Neural Networks"
Educational framework exploring ergonomic, lightweight multi-agent orchestration. Managed by OpenAI Solution team.
Recipes to train reward model for RLHF.