1633 Open source projects that are alternatives of or similar to Gam

中文ULMFiT 情感分析 文本分类

Autodifferentiation package in Rust.

Reinforcement learning algorithms for MuJoCo tasks

Building an image classifier using keras

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

A curated list of artificial intelligence resources (Courses, Tools, App, Open Source Project)

Bayesian Deep Learning: A Survey

A clear, concise, simple yet powerful and efficient API for deep learning.

Deep Object Tracking Implementation in Tensorflow for 'Action-Decision Networks for Visual Tracking with Deep Reinforcement Learning(CVPR 2017)'

Deep Learning based Automatic Speech Recognition with attention for the Nvidia Jetson.

Easily craft fast Neural Networks on iOS! Use TensorFlow models. Metal under the hood.

Brain Modeling Toolkit

Code for Learning to select data for transfer learning with Bayesian Optimization

🕹️ CS234: Reinforcement Learning, Winter 2019 | YouTube videos 👉

🐰 Python lib for remo - the app for annotations and images management in Computer Vision

Transfer Learning library for Deep Neural Networks.

Transfer Learning Suite in Keras. Perform transfer learning using any built-in Keras image classification model easily!

A P300 online spelling mechanism for Emotiv headsets. It's completely written in Node.js, and the GUI is based on Electron and Vue.

Video Platform for Action Recognition and Object Detection in Pytorch

Python Adaptive Signal Processing

Deep Reinforcement Learning for de-novo Drug Design

PaddlePaddle End-to-End Development Toolkit（『飞桨』深度学习全流程开发工具）

Implementations of deep RL papers and random experimentation

Deep-Learning based CTR models implemented by PyTorch

LaTeX/PDF + Epub version of the online book (http://neuralnetworksanddeeplearning.com) ”Neural Networks and Deep Learning“ by Michael Nielsen (@mnielsen)

AI trained using Genetic Algorithm and Deep Learning to play the game of snake

Deep reinforcement learning model implementation in Tensorflow + OpenAI gym

A constantly updated python machine learning cheatsheet

List of articles related to deep learning applied to music

Implementing Reinforcement Learning, namely Q-learning and Sarsa algorithms, for global path planning of mobile robot in unknown environment with obstacles. Comparison analysis of Q-learning and Sarsa

Modularized Implementation of Deep RL Algorithms in PyTorch

Attention-guided CNN for image denoising(Neural Networks,2020)

A resource for learning about deep learning techniques from regression to LSTM and Reinforcement Learning using financial data and the fitness functions of algorithmic trading

A sparsity aware implementation of "Deep Autoencoder-like Nonnegative Matrix Factorization for Community Detection" (CIKM 2018).

The author's officially unofficial PyTorch BigGAN implementation.

Data Science algorithms for Qlik implemented as a Python Server Side Extension (SSE).

Reinforcement learning framework to accelerate research

Reinforcement learning with tensorflow 2 keras

Python AI assistant 🧠

Train robotic agents to learn pick and place with deep learning for vision-based manipulation in PyBullet. Transporter Nets, CoRL 2020.

A curated list of awesome Deep Reinforcement Learning resources.

Graph Attention Networks (https://arxiv.org/abs/1710.10903)

《迁移学习简明手册》LaTex源码

Pytorch Imagenet Models Example + Transfer Learning (and fine-tuning)

A binary release of trained deep reinforcement learning models trained in the Atari machine learning benchmark, and a software release that enables easy visualization and analysis of models, and comparison across training algorithms.

🚗 Rocket League Distributed Deep Reinforcement Learning Bot

A blog which talks about machine learning, deep learning algorithms and the Math. and Machine learning algorithms written from scratch.

code released for our ICML 2020 paper "Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation"

Manage your machine learning experiments with trixi - modular, reproducible, high fashion. An experiment infrastructure optimized for PyTorch, but flexible enough to work for your framework and your tastes.

Play MK.js with TensorFlow.js

A learning environment for man-made Interactive Fiction games.

State-of-the art Automated Machine Learning python library for Tabular Data

Personal notes about scientific and research works on "Decision-Making for Autonomous Driving"

Pytorch Code for "Medical Transformer: Gated Axial-Attention for Medical Image Segmentation"

Train and visualize Hierarchical Attention Networks

A single / multi layer / recurrent neural network written in Golang.

Train an RL agent to execute natural language instructions in a 3D Environment (PyTorch)

Continuous control with deep reinforcement learning - Deep Deterministic Policy Gradient (DDPG) algorithm implemented in OpenAI Gym environments

ns3-gym - The Playground for Reinforcement Learning in Networking Research

Reinforcement Learning in Go