Paris, France

Thomas Simonini

Elite
@simoninithomas

Developer Advocacy @huggingface ๐Ÿค— Love building products using NLP and RL Founded Deep Reinforcement Learning course ๐Ÿ“š bit.ly/34fMhwc

Deep_reinforcement_learning_Course. Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch

3.9k

awesome-ai-tools-for-game-dev. A curated list of awesome AI tools for game developers

1k

CatDCGAN. A DCGAN that generate Cat pictures ๐Ÿฑโ€๐Ÿ’ป

203

unity_ml_agents_course. Learn to create agents in Unity ML using Deep Reinforcement Learning with Tensorflow.

93

DNN-Speech-Recognizer. Built a deep neural network that functions as part of an end-to-end automatic speech recognition (ASR) pipeline.

50

the_mayan_adventure. The Mayan Adventure is an open-source reinforcement learning environment for Unity ML-Agents. In this environment, you train your agent (Indie) to find the golden statue in this dangerous environment full of traps.

36

jammo_the_robot.

22

ml-agents-snowball-fight. A multi-agent environment using Unity ML-Agents Toolkit

10

MLAgents-Tanks. A multi-agent environment using Unity ML-Agents Toolkit where two agents compete in a 1vs1 tank fight game

10

Time-series-prediction-and-text-generation. Built RNNs that can generate sequences based on input data - with a focus on two applications: used real market data in order to predict future Apple stock prices using an RNN model. The second one will be trained on Sir Arthur Conan Doyle's classic novel Sherlock Holmes and generates wacky sentences based on it that may - or may not - become the next great Sherlock Holmes novel.

10

AI_NANODEGREE-Computer-Vision-Capstone-Project-Facial-Keypoint-Detection-and-Real-time-Filtering. A CNN that make facial keypoint detection and real time filtering

8

Baselines_icm. [Work in Progress] ICM plugin for OpenAI Baselines

7

cifar-10-classifier-pytorch. A simple cifar-10 classifier with PyTorch

6

Dog-Breed-Classifier. Convolutional Neural Network that recognizes dog breeds

4

simple-A2C. A simple A2C made from scratch in PyTorch. Accompanying comic at https://hackernoon.com/intuitive-rl-intro-to-advantage-actor-critic-a2c-4ff545978752

3

Policy_gradients_CartPole. A Policy Gradient Learning with CartPole-v0 for Siraj Raval's challenge

3

ml-agents. Unity Machine Learning Agents Toolkit

3

News-Crawler-Parse-Backend. This is a crawler made with Scrapy.py to crawl french news articles and send them in your Parse.com backend

3

unity-api. C#

3

gym-games. A gym version of various games for reinforcenment learning.

2

squad_v1.1_for_question_generation. Python

2

huggingface_sb3. Additional code for Stable-baselines3 to load and upload models from the Hub.

2

GAN_implementations. Some GAN (Generative Adversarial Networks) implementations to generate MNIST images

2

random-network-distillation. Code for the paper "Exploration by Random Network Distillation"

2

baselines. OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

2

DLFN_Face_generator. A Generative Adversarial Network that generate human faces

2

style-transfer-pytorch. A Style Transfer agent that applies La Joconde's style to any picture [PROTOTYPE]

2

deep_q_learning. A DQL implementation with keras

2

Test_doom_dqn. Python

2

NewsSwipe. This version is for educational purposes only. The goal is to learn to create android applications with network. I create this app with the help of the excellent course : Udacity Android basics : networking

2

PlayBot_website. Website for a fake project : Playbot a bot that proposes games based on user tastes

2

StockHawk. An Android App that displays stock prices

1

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

1

Where_is_my_cat. A series of YOLO experimentations using DarkFlow

1

darknet. Convolutional Neural Networks

1

blog. Public repo for HF blog posts

1

DLFN_Image_classification. In this project, you'll classify images from the CIFAR-10 dataset. The dataset consists of airplanes, dogs, cats, and other objects. The dataset will need to be preprocessed, then train a convolutional neural network on all the samples. You'll normalize the images, one-hot encode the labels, build a convolutional layer, max pool layer, and fully connected layer. At then end, you'll see their predictions on the sample images.

1

simonini_thomas_website_new. My new personal website

1

stable-baselines3. PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

1

DLFN_Language_Translation. A Seq-to-seq model that translates English to French

1

aind2-nlp-capstone. Recurrent Neural Network that translates English to French

1

deep-rl-course.

1

DeepRL-Agents. A set of Deep Reinforcement Learning Agents implemented in Tensorflow.

1

AIND-VUI-Lab-Voice-Data. Python

1

Policy-Gradient-Doom--. Policy Gradient based agent that tries to survive in an hostile environement by collecting health.

1

dataiku-contrib. Public repository for DSS plugins

1

DGAN-Implementations. Some DGAN (Deep Generative Adversarial Networks) implementations to generate human faces

1

DLFN_Generate_The_Simpsons_Scripts. An RNN that generates new scripts for the Simpsons' tv show

1

better-unity-webgl-template. A better default template for Unity WebGL

1

sonictest.

1

SimpleLinearRegression_PhiladelphiaRateCrime_HousePricePrediction. This Machine Learning model helps us to predict of houses prices in Philadelphia region based on crime rate.

1

PlayBot. PlayBot is an AI that propose games based on user tastes

1

PlayBot_BackEnd. Playbot API in NodeJS

1
53
Apply