Bensmail Anis
@Bensmail-anisAI & Data Science Student (Final Year) | Building Systems with Generative AI & Deep Learning
Language Breakdown
Lines of code distribution across 10 owned repositories
I-Shaped Developer
I-shapedSpecialist — deep expertise in Python
Collaboration Network
Global Impact visualization
Repos
20
PRs
0
Growth
+18%
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Coding Streak
Contribution activity over the past year
alt-core
@alterante
Emine UĞURLU
@emineugurlu
Puneet Sharma
@iamapuneet
Riku Lauttia
@rikulauttia
Kadache ahmed rami
@Kadacheahmedrami
Top Repositories
A powerful chatbot assistant leveraging Retrieval-Augmented Generation (RAG) to answer questions from multiple PDF documents. RAGbot generates accurate responses and provides source references, making it an ideal assistant for working with domain-specific PDFs.
NetWise is a bandwidth management and optimization system developed for the DevFest Algiers Hackathon.
Human Emotion Detection through various deep learning techniques , including using diverse model architectures, Transfer learning , Transformers and data strategies.
A custom implementation of OpenAI's GPT-2(124M) from scratch, following the paper "Language Models are Unsupervised Multitask Learners".We train the model on the FineWeb dataset -10 billion tokens.
We build a Mini Generative Pretrained Transformer (GPT) inspired by the "Attention is All You Need" paper -11 M params
The project revolves around analyzing a comprehensive Black Friday sales dataset.The primary objectives involve exploring the relationships between various attributes, predicting purchase amounts using machine learning models, and understanding the impact of different factors on Black Friday sales.
The model generates new text based on the patterns learned in a training data.It can be applied to various tasks, such as generating creative names (e.g., company or baby names) or producing text that mimics a given dataset, making it a versatile tool for autoregressive text generation. This implementation is inspired by Andrej Karpathy's makemore.
This repository is designed for educational purposes to help participants explore the mathematical foundations of neural networks by building a simple backpropagation-based neural network from scratch. We will draw inspiration from Micrograd, a lightweight autograd engine developed by Andrej Karpathy.
testing for rst
Open Source Impact
Contributions to external projects
