Stars
A playbook for systematically maximizing the performance of deep learning models.
Source code for the X Recommendation Algorithm
Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
Offline Reinforcement Learning (aka Batch Reinforcement Learning) on Atari 2600 games
[NeurIPS'21 Outstanding Paper] Library for reliable evaluation on RL and ML benchmarks, even with only a handful of seeds.
A collection of modern/faster/saner alternatives to common unix commands.
A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.
Tools to Design or Visualize Architecture of Neural Network
a set of farrow&ball-inspired palettes for ggplot2
This repository contains implementations and illustrative code to accompany DeepMind publications
bsuite is a collection of carefully-designed experiments that investigate core capabilities of a reinforcement learning (RL) agent
Simple tutorials for building neural networks with TensorFlow Eager mode.
A course in reinforcement learning in the wild
TensorFlow Basic Tutorial Labs
A complete daily plan for studying to become a machine learning engineer.
Source code for experiments in the papers "Complex Embeddings for Simple Link Prediction" (ICML 2016) and "Knowledge Graph Completion via Complex Tensor Factorization" (JMLR 2017).
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
Random notes on papers, likely a short-term repo.
Free ways to dive into machine learning with Python and Jupyter Notebook. Notebooks, courses, and other links. (First posted in 2016.)
An Open Source Machine Learning Framework for Everyone
A curated list of awesome Machine Learning frameworks, libraries and software.