925 Open source projects that are alternatives of or similar to Tensorpack

TensorFlow implementation of the Value Iteration Networks (NIPS '16) paper

Machine Learning notebooks for refreshing concepts.

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

This is just a collection of projects that made during my DEEPLEARNING NANODEGREE by UDACITY

Monthly Series - Top 10 Machine Learning Articles

A PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018).

Deep Reinforcement Learning for Keras.

Machine learning and data science blog.

Get started with Machine Learning in TensorFlow with a selection of good reads and implemented examples!

Unity Machine Learning Agents Toolkit

TensorFlow and Deep Learning Tutorials

SharpNEAT - Evolution of Neural Networks. A C# .NET Framework.

Python code, PDFs and resources for the series of posts on Reinforcement Learning which I published on my personal blog

Machine learning, in numpy

How to use TensorLayer

An introductory series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.

Succinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-means clustering, Sentiment Analysis, Recommender Systems, Neural Networks and Reinforcement Learning.

Scalable Implementation of Deep CFR and Single Deep CFR

RLgraph: Modular computation graphs for deep reinforcement learning

Computer code collated for use with Artificial Intelligence Engines book by JV Stone

Qualia is a deep learning framework deeply integrated with automatic differentiation and dynamic graphing with CUDA acceleration. Qualia was built from scratch.

A lightweight contextual bandit & reinforcement learning library designed to be used in production Python services.

Reproducing MuJoCo benchmarks in a modern, commercial game /physics engine (Unity + PhysX).

🧑‍🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

Train an RL agent to localize actively (PyTorch)

Grokking Deep Reinforcement Learning

Repo for the Deep Reinforcement Learning Nanodegree program

Learning infinite-resolution image processing with GAN and RL from unpaired image datasets, using a differentiable photo editing model.

PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Learning (GAIL). Fast Fisher vector product TRPO.

Reversi reinforcement learning by AlphaGo Zero methods.

Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)

OpenAI Gym environments for an open-source quadruped robot (SpotMicro)

My Reading Lists of Deep Learning and Natural Language Processing

A modular high-level library to train embodied AI agents across a variety of tasks, environments, and simulators.

Lightweight, efficient and stable implementations of deep reinforcement learning algorithms using PyTorch.

Proximal Policy Optimization (PPO) algorithm for Super Mario Bros

Lightweight models for real-time semantic segmentationon PyTorch (include SQNet, LinkNet, SegNet, UNet, ENet, ERFNet, EDANet, ESPNet, ESPNetv2, LEDNet, ESNet, FSSNet, CGNet, DABNet, Fast-SCNN, ContextNet, FPENet, etc.)

Tez is a super-simple and lightweight Trainer for PyTorch. It also comes with many utils that you can use to tackle over 90% of deep learning projects in PyTorch.

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

Deep Reinforcement Learning For Sequence to Sequence Models

TensorFlow 101: Introduction to Deep Learning for Python Within TensorFlow

Code for ACL 2018 paper: "Fast Abstractive Summarization with Reinforce-Selected Sentence Rewriting. Chen and Bansal"

A curated list of NLP resources focused on BERT, attention mechanism, Transformer networks, and transfer learning.

Summary of deep learning models for dialog systems (Tiancheng Zhao LTI, CMU)

Asynchronous Methods for Deep Reinforcement Learning

Code and other material for the book "Deep Learning and the Game of Go"

An evolving guide to learning Deep Learning effectively.

Visualization toolkit for neural networks in PyTorch! Demo -->

Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow

Code repository for the Animal AI Olympics competition

Neural network inference the Unix way

Trax — Deep Learning with Clear Code and Speed

DeepFaceLab is the leading software for creating deepfakes.

A minimalist environment for decision-making in autonomous driving

🤖 MatLab/Octave examples of popular machine learning algorithms with code examples and mathematics being explained

Build Graph Nets in Tensorflow

Run Keras models in the browser, with GPU support using WebGL

(Linear-chain) Conditional random field in PyTorch.

The codes of paper "Long Text Generation via Adversarial Training with Leaked Information" on AAAI 2018. Text generation using GAN and Hierarchical Reinforcement Learning.

Guided Policy Search