dams-lab

Pinned Repositories

air_passengers
Air passengers RAMP starting kit
Language:Jupyter Notebook0 0 00
botkit-middleware
A middleware to connect Watson Conversation Service to different chat channels using Botkit
Language:TypeScript00
Combine-CSV-files-in-the-folder
Tiny script to automate everyday task
Language:Python0 1 00
dams2020
premier test
00
DeepLearningFlappyBird
Flappy Bird hack using Deep Reinforcement Learning (Deep Q-learning).
Language:Python00
dl-lectures-labs
Slides and Jupyter notebooks for the Deep Learning lectures at M2 Data Science Université Paris Saclay
Language:Jupyter Notebook00
domo
demo2
00
Jarvis
Personal Assistant for Linux and macOS
Language:Python00
ltp
Linux Test Project http://linux-test-project.github.io/
Language:C00
lv_sim_eclipse_sdl
PC simulator project for LittlevGL embedded GUI Library. Recommended on Linux and Mac.
Language:C00

dams-lab's Repositories

dams-lab/air_passengers
Air passengers RAMP starting kit
Language:Jupyter Notebook0 0 00
dams-lab/botkit-middleware
A middleware to connect Watson Conversation Service to different chat channels using Botkit
Language:TypeScript00
dams-lab/Combine-CSV-files-in-the-folder
Tiny script to automate everyday task
Language:Python0 1 00
dams-lab/dams2020
premier test
00
dams-lab/DeepLearningFlappyBird
Flappy Bird hack using Deep Reinforcement Learning (Deep Q-learning).
Language:Python00
dams-lab/dl-lectures-labs
Slides and Jupyter notebooks for the Deep Learning lectures at M2 Data Science Université Paris Saclay
Language:Jupyter Notebook00
dams-lab/domo
demo2
00
dams-lab/Jarvis
Personal Assistant for Linux and macOS
Language:Python00
dams-lab/ltp
Linux Test Project http://linux-test-project.github.io/
Language:C00
dams-lab/lv_sim_eclipse_sdl
PC simulator project for LittlevGL embedded GUI Library. Recommended on Linux and Mac.
Language:C00
dams-lab/MoSEF-Projet-2019
Projet Master 2 MoSEF (U. Paris 1)
Language:Shell
dams-lab/pystatsml
Statistics and Machine Learning in Python
dams-lab/RunescapeTradingProject
A personal project which attempts to use an algorithmic model to generate in-game wealth on the MMORPG Runescape. Using the official Runescape Grand Exchange API, historical price and qualitative data is pulled for each of the items in the game. By processing this data and predicting the price changes in certain high-volume items, profit can be made against a stagnant in-game economy. An automated AI will log in to the game and take the results from the model to automatically purchase the items which the algorithm deems are profitable to buy. Additionally, back testing of historical data against the model should also be completed before the bot makes initial investments.
Language:Python0 0
dams-lab/Scala_project
Projet Scala M2 Mosef
Language:Scala
dams-lab/StockPricePrediction
Stock Price Prediction using Machine Learning Techniques
Language:Jupyter Notebook0 0
dams-lab/test
test_projet
1 0