1072 Open source projects that are alternatives of or similar to Fullstackmachinelearning

Curated list of publicly accessible machine learning engineering courses from CalTech, Columbia, Berkeley, MIT, and Stanford.

This is Andrew NG Coursera Handwritten Notes.

CURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning

Collection of lectures and lab lectures on machine learning and deep learning. Lab practices in Python and TensorFlow.

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

🚀 FREE AI Resources - 🎓 Courses, 👷 Jobs, 📝 Blogs, 🔬 AI Research, and many more - for everyone!

Curated list for Deep Reinforcement Learning (DRL): software frameworks, models, datasets, gyms, baselines...

RAD: Reinforcement Learning with Augmented Data

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

🙄 Difficult algorithm, Simple code.

Deep Reinforcement Learning library for humans

Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official implementation of the Soft Actor-Critic algorithm.

An OpenAI Gym Env for Panda

Using deep reinforcement learning to tackle the game 2048.

Seoul AI Gym is a toolkit for developing AI algorithms.

Reinforcement Learning / AI Bots in Card (Poker) Games - Blackjack, Leduc, Texas, DouDizhu, Mahjong, UNO.

Python Library for Model Interpretation/Explanations

🔬 A curated list of awesome machine learning strategies & tools in financial market.

Essential Guide to keep up with AI/ML/DL/CV

Try out deep learning models online on Google Colab

OpenAI Gym environments using DART

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

Minimal Tensorflow implementation of the paper "Neural Architecture Search With Reinforcement Learning" presented at ICLR 2017

Collection of my solutions to the (infamous) dbclass (2014 version) offered by Stanford.

High Quality Monocular Depth Estimation via Transfer Learning

Evolutionary Algorithm using Python, 莫烦Python 中文AI教学

Semantic Scene Completion

An analytical cost model evaluating DNN mappings (dataflows and tiling).

Unwrapping Black Box of ReLU DNNs

The Tensorflow code and a DeepMind Lab wrapper for my article "Meta-Reinforcement Learning" on FloydHub.

Efficient Batched Reinforcement Learning in TensorFlow

Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive learning.

Attempt at reinforcement learning with curiosity for Sonic the Hedgehog games. Number 149 on OpenAI retro contest leaderboard, but more work needed

A PyTorch implementation for exploring deep and shallow knowledge distillation (KD) experiments with flexibility

Service Classification based on Service Description

Conversational AI Reading Materials

Deep Learning Toolbox for Torch

(ECCV 2020) Tensorflow implementation of A Generic Visualization Approach for Convolutional Neural Networks

PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf

Lets Learn AI

Actor-Critic Instance Segmentation (CVPR 2019)

Implementation of the Deep Q-learning algorithm to solve MDPs

PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".

🔮Deep Learning for text made easy with AllenNLP

Reinforcement Learning Algorithms

A gym environment for Stuart Armstrong's model of a treacherous turn.

Full HRV analysis of Arduino pulse sensor, using Python signal processing and time series techniques. Chaotic, Fourier, Wavelet, Regression, Neural Net.

THEANO-KALDI-RNNs is a project implementing various Recurrent Neural Networks (RNNs) for RNN-HMM speech recognition. The Theano Code is coupled with the Kaldi decoder.

Flappy Bird hack using Reinforcement Learning

IEEE "Invited Talk on Deep Learning" 03/02/2018

R Interface to Open Neural Network Exchange (ONNX)

Reinforcement Learning Assignment: Easy21

Some awesome AI related books and pdfs for learning and downloading, also apply some playground models for learning

For deep RL and the future of AI.

Channel Pruning for Accelerating Very Deep Neural Networks (ICCV'17)

Easy MDPs and grid worlds with accessible transition dynamics to do exact calculations

MXNET + OpenAI Gym implementation of A3C from "Asynchronous Methods for Deep Reinforcement Learning"

Tensorflow Backend for ONNX

Omaha Poker functionality+some features for PokerRL Reinforcement Learning card framwork