DyNA is a framework for dynamic, data-driven nonlinear signal propagation, inspired by biological neural networks.
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Updated
May 25, 2024 - Python
DyNA is a framework for dynamic, data-driven nonlinear signal propagation, inspired by biological neural networks.
Language modeling and instruction tuning for Russian
Natural Language Processing Bot AI-driven Appointment Scheduling AI – driven Customer Support trained on existing knowledge base Interactive and Real-Time Response Scalable System
Using the MovieLens dataset, will create a customer recommendation system from scratch using PyTorch.
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/
Biblioteca para manipulação de modelos de Redes Neurais
WIP Chess Engine
Merhaba. Bu repoda LLM ' ler üzerinde çok kapsamlı bir inceleme yapacak ve neredeyse tüm konseptleri işleyeceğiz. Ayrıca uçtan uca projeler ile öğrendiklerimizi pekiştireceğiz. Repo sürekli güncellenmektedir.
flexible and extensible implementation of a multithreaded stochastic gradient descent feedforward neural network in Java, wrapped up in a console user interface
A (toy) tensor library in C
Bringing hardware acceleration to Java machine learning
Automated detection of COVID-19 in real time can greatly help clinicians to handle increasing number of cases for preliminary screening. Deep CNN models trained with sufficiently large datasets may become best candidates to meet the purpose.
Deep Learning Simplified is an Open-source repository, containing beginner to advance level deep learning projects for the contributors, who are willing to start their journey in Deep Learning. Devfolio URL, https://devfolio.co/projects/deep-learning-simplified-f013
Predicting Forex direction - Capstone Project 2024 Advanced Data Analytics @ HEC Lausanne
A high-performance image processing library designed to optimize and extend the Albumentations library with specialized functions for advanced image transformations. Perfect for developers working in computer vision who require efficient and scalable image augmentation.
Evaluation and Tracking for LLM Experiments
Projects - "Training a MLP Neural network in Python (Numpy, PyTorch)" / ...
(Windows/Linux) Local WebUI for finetuning, evaluation and generation of neural network models (LLM and StableDiffusion) on python (In Gradio interface)
Deep Learning for humans
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