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Resources about time series forecasting and deep learning.
Models and examples built with TensorFlow
amazon order history reporter chrome extension
Scalene: a high-performance, high-precision CPU, GPU, and memory profiler for Python with AI-powered optimization proposals
Postmodern immutable and persistent data structures for C++ — value semantics at scale
An API standard for multi-agent reinforcement learning environments, with popular reference environments and related utilities
This repository contains implementations and illustrative code to accompany DeepMind publications
Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and…
Faker is a Python package that generates fake data for you.
An interactive git visualization and tutorial. Aspiring students of git can use this app to educate and challenge themselves towards mastery of git!
Dream to Control: Learning Behaviors by Latent Imagination
Natural Language Processing Tutorial for Deep Learning Researchers
The collaborative real-time open-source machine learning devtool and training suite: Experiment execution, tracking, and debugging. With server and project management tools.
TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.
🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP
Recipe Generation from Food Images
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Paper list of multi-agent reinforcement learning (MARL)
Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch
Efficient Batched Reinforcement Learning in TensorFlow
Sarasra / models
Forked from tensorflow/modelsModels and examples built with TensorFlow
A simplistic implementation of DQN that works under CartPole-v0 with rendered pixels as input
TensorFlow implementation of Value Iteration Networks (VIN): Clean, Simple and Modular