neural-networks

Relax! Flux is the ML library that doesn't make you tensor

Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.

LLM training code for Databricks foundation models

Probabilistic reasoning and statistical analysis in TensorFlow

Plain python implementations of basic machine learning algorithms

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models

Learning to Learn in TensorFlow

This is Andrew NG Coursera Handwritten Notes.

🧠💬 Articles I wrote about machine learning, archived from MachineCurve.com.

Hummingbird compiles trained ML models into tensor computation for faster inference.

🛠 All-in-one web-based IDE specialized for machine learning and data science.

Evaluation and Tracking for LLM Experiments and AI Agents

All notes and materials for the CS229: Machine Learning course by Stanford University

머신러닝 입문자 혹은 스터디를 준비하시는 분들에게 도움이 되고자 만든 repository입니다. (This repository is intented for helping whom are interested in machine learning study)

JAX-based neural network library

Open source neural network chess engine with GPU acceleration and broad hardware support.

Papers about deep learning ordered by task, date. Current state-of-the-art papers are labelled.

a delightful machine learning tool that allows you to train, test, and use models without writing code

Tiny, no-nonsense, self-contained, Tensorflow and ONNX inference

Neural network visualization toolkit for keras