Jules M's repositories
Amazing-Feature-Engineering
Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.
awesome-ai-ml-dl
Awesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it. Study notes and a curated list of awesome resources of such topics.
awesome-distributed-systems
A curated list to learn about distributed systems
awesome-generative-ai
A curated list of modern Generative Artificial Intelligence projects and services
awesome-github-profile-readme
😎 A curated list of awesome GitHub Profile READMEs 📝
awesome-python
A curated list of awesome Python frameworks, libraries, software and resources
BERTopic
Leveraging BERT and c-TF-IDF to create easily interpretable topics.
charticulator
Interactive Layout-Aware Construction of Bespoke Charts
coding-interview-university
A complete computer science study plan to become a software engineer.
ControlNet
Let us control diffusion models!
demucs
Code for the paper Hybrid Spectrogram and Waveform Source Separation
demucs3
Fork of demucs repository
dnSpy
.NET debugger and assembly editor
DragGAN
Official Code for DragGAN (SIGGRAPH 2023)
julesam.github.io
Website
Library-Management-System-JAVA
📚 A sophisticated Library Management System designed in Java while following the concepts of decoupled layers (entities) and minimal code in interface (GUI).
llama
Inference code for LLaMA models
LLMsPracticalGuide
A curated list of practical guide resources of LLMs (LLMs Tree, Examples, Papers)
Made-With-ML
Learn how to responsibly develop, deploy and maintain production machine learning applications.
OCR-Engine
OCR Engine based on Tesseract
onnx
Open standard for machine learning interoperability
pytorch-summary
Model summary in PyTorch similar to `model.summary()` in Keras
really-awesome-gan
A list of papers on Generative Adversarial (Neural) Networks
RWKV-v2-RNN-Pile
RWKV-v2-RNN trained on the Pile. See https://github.com/BlinkDL/RWKV-LM for details.
StockPricePrediction
Stock Price Prediction using Machine Learning Techniques
tabnet
PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf
TestScunet
Testing scUNEt