Unikarah

Unikarah's Stars

• huggingface/transformers

  🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

  Language:Python135k1.1k16.1k26.9k

• ultralytics/yolov5

  YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

  Language:Python50.7k3719.3k16.3k

• rpieja/i3spotifystatus

  Python script parsing JSON i3status output and printing it to i3bar with added currently played spotify song.

  Language:Python854212

• Bictole/Peaceland

  Peaceland is a full project made with scala, spark, kafka, node and react to design a big data architecture.

  Language:Scala15251

• Bictole/MLSECU

  Machine Learning and Cybersecurity, analysis of a large attacked netflow and training of several machine learning algorithm.

  Language:Jupyter Notebook5100

• SCIA-Premium/Deep-Learning-for-Language

  Machine translation model from German to English using transformers, fine-tuning using the HuggingFace transformer library, Sentence Transformer, Faiss and Beir libraries to operate a semantic search on the DBPedia entity dataset.

  Language:Jupyter Notebook2111

• SCIA-Premium/GoRaft

  Go implementation of the RAFT consensus algorithm. Faults injector with a REPL and a CLSF (Command List and File Storage) to test several scenarios.

  Language:Go20110

• SCIA-Premium/ObjectDetectionCuda

  Object Detection implemented in CUDA. Data-parallelism concepts and benchmarks on a python, two C++ on CPU and a C++ GPU version.

  Language:C++2030

• Fir0x/Projet-S2-MSN2

  Language:C#1000

• SCIA-Premium/FTML

  Work on the theoretical fundamentals of machine learning with different exercises. Bayes predictor, Bayes risk associated to some particular settings and OLS estimator.

  Language:Python1000

• SCIA-Premium/RecSys_2022

  Recommendation system implementation with application to the RecSys 2022 Dressipi challenge. Analysis, different process and alteration of the data, machine learning technique to generate submissions.

  Language:Jupyter Notebook1000

• SCIA-Premium/RELE

  Dedicated to exploring and implementing various algorithms in the field of reinforcement learning. Techniques such as Q-learning, SARSA, and policy gradient methods. Implementation of these methods on various environments such as OpenAI gym.

  Language:HTML1020

• SCIA-Premium/Sentiment_analysis

  Sentiment Analysis with different NLP algorithm on the IMDB dataset. Naive Bayes Classifier, FastText and RNN/LSTM are used in this repository !

  Language:Jupyter Notebook1100

• Sefray/Peaceland

  The aims of the project is to design a big data architecture. This project has been done for a SCALA class at EPITA.

  Language:Scala1100