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A 15TB Collection of Physics Simulation Datasets
A machine learning compiler for GPUs, CPUs, and ML accelerators
This repository is the official implementation of the paper Convolutional Neural Operators for robust and accurate learning of PDEs
A list of awesome beginners-friendly projects.
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
Pen and paper exercises in machine learning
Convert Machine Learning Code Between Frameworks
Sample code illustrating the VS Code extension API.
Algorithm Design (Kleinberg Tardos 2005) - Solutions
Home to the design and engine of the @Lux-AI-Challenge Season 1, hosted on @kaggle
List of Research Internships for Undergraduate Students
XLNet: Generalized Autoregressive Pretraining for Language Understanding
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement …
📚 Freely available programming books
An educational resource to help anyone learn deep reinforcement learning.
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
The electronic structure package for quantum computers.
This repository contains implementations and illustrative code to accompany DeepMind publications
This repository contains notebook implementations of the following Neural Process variants: Conditional Neural Processes (CNPs), Neural Processes (NPs), Attentive Neural Processes (ANPs).
A Python framework for creating, editing, and invoking Noisy Intermediate-Scale Quantum (NISQ) circuits.
TensorFlow Neural Machine Translation Tutorial
BertViz: Visualize Attention in NLP Models (BERT, GPT2, BART, etc.)
🎓 Path to a free self-taught education in Computer Science!