Pinned Repositories
covid-19_sentiment_analysis
DALL-E
PyTorch package for the discrete VAE used for DALL·E.
fashion_MNIST
Fashion MNIST est une base de donnée d'images d'articles de modes labellisées par Zalando. Dans ce projet, nous construisons un modèle de reconnaissance d'objet.
fencing-datacraft
Exploration of the fencing dataset duing DataCraft Feb 2020 workshop
football_computer_vision
Deep learning is more and more used for football preformance analysis. In this tutorial we are building a computer vision system with YOLO, to track players on the pitch.
llm-bench
mnist_digit_recognition
what-the-chat
Use ChatGPT on Whatsapp using Twilio
xgboost_vs_random-forest
XGBoost vs Random Forest pour prédire la gravité d'un accident
IlyesTal's Repositories
IlyesTal/xgboost_vs_random-forest
XGBoost vs Random Forest pour prédire la gravité d'un accident
IlyesTal/covid-19_sentiment_analysis
IlyesTal/fashion_MNIST
Fashion MNIST est une base de donnée d'images d'articles de modes labellisées par Zalando. Dans ce projet, nous construisons un modèle de reconnaissance d'objet.
IlyesTal/mnist_digit_recognition
IlyesTal/football_computer_vision
Deep learning is more and more used for football preformance analysis. In this tutorial we are building a computer vision system with YOLO, to track players on the pitch.
IlyesTal/llm-bench
IlyesTal/DALL-E
PyTorch package for the discrete VAE used for DALL·E.
IlyesTal/fencing-datacraft
Exploration of the fencing dataset duing DataCraft Feb 2020 workshop
IlyesTal/generative-ai
IlyesTal/ladder_network_keras
Semi-Supervised Learning with Ladder Networks in Keras. Get 98% test accuracy on MNIST with just 100 labeled examples !
IlyesTal/what-the-chat
Use ChatGPT on Whatsapp using Twilio
IlyesTal/live-1
IlyesTal/nota
Web application for image and video labeling and annotation
IlyesTal/streamlit-example
Example Streamlit app that you can fork to test out share.streamlit.io
IlyesTal/yolov5
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
IlyesTal/yolov7
Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors