AzizIlyosov

Character_recognition

open_domain_chatbot

rotation

tensorflow-ml-nlp-tf2

텐서플로2와 머신러닝으로 시작하는 자연어처리 (로지스틱회귀부터 BERT와 GPT2까지) 실습자료

uzbek_nlp

In this repository I'll try apply state of art NLP techniques on text in Uzbek

baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

chameleon_recsys

Source code of CHAMELEON - A Deep Learning Meta-Architecture for News Recommender Systems

deep-reinforcement-learning-gym

Deep reinforcement learning model implementation in Tensorflow + OpenAI gym

Deep_reinforcement_learning_Course

Implementations from the free course Deep Reinforcement Learning with Tensorflow

DeepLearning

Deep Learning introduction and its application in various fields

drr

code for the paper "Personalized Context-Aware Re-ranking for E-commerce Recommendation Systems"

Machine-Learning-with-Python

Python code for common Machine Learning Algorithms

multi-agent-emergence-environments

Environment generation code for the paper "Emergent Tool Use From Multi-Agent Autocurricula"

nanoVNA

nextitnet

A Simple Convolutional Generative Network for Next Item Recommendation

nlp-tutorial

Natural Language Processing Tutorial for Deep Learning Researchers

nmt

TensorFlow Neural Machine Translation Tutorial

nn4nlp-code

Code Samples from Neural Networks for NLP

PositionalRecommendation

goal of this project is making opensource positional recommendation system

Practical_NLP_in_PyTorch

A repository containing tutorials for practical NLP using PyTorch

pytorch-pretrained-BERT

📖The Big-&-Extending-Repository-of-Transformers: Pretrained PyTorch models for Google's BERT, OpenAI GPT & GPT-2, Google/CMU Transformer-XL.

PyTorch-Tutorials-1

Learn to build your neural network using PyTorch

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

RL-Adventure

Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL

shelf_floor_segmentation

sockeye

Sequence-to-sequence framework with a focus on Neural Machine Translation based on Apache MXNet

ud851-Exercises

ud851-Sunshine

xgboost

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow

youtube-dl

Command-line program to download videos from YouTube.com and other video sites