deep-learning

A PyTorch implementation of DeepSpeech and DeepSpeech2.

A comprehensive platform for managing, testing, and leveraging Ollama AI models with advanced features for customization, workflow automation, and collaborative development.

ModelSoups for Tensorflow2 and Torch

Text Classification in Turkish Texts with Bert

CEHR-BERT: Incorporating temporal information from structured EHR data to improve prediction tasks

State-of-the-art NLP through transformer models in a modular design and consistent APIs.

Training & Implementation of chatbots leveraging GPT-like architecture with the aitextgen package to enable dynamic conversations.

A python library for highly configurable transformers - easing model architecture search and experimentation.

Experiments with Hugging Face 🔬 🤗

[𝐧𝐚𝐭𝐮𝐫𝐞 𝐦𝐚𝐜𝐡𝐢𝐧𝐞 𝐢𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞] ImmunoStruct enables multimodal deep learning for immunogenicity prediction

Awesome List of Vision Language Prompt Papers

This repository showcases my learning journey through various machine learning algorithms, deep learning concepts, and complete end-to-end data science projects.

How to Generate High Quality Real People in Stable Diffusion And Useful Stable Diffusion Tips & Tricks

An 18 notebook course that isolates and measures each component of agentic loop engineering on real, industry standard software datasets.

Biologically-grounded adversarial training platform: cyclic Wake/Dream/Nightmare/Compress phases that accumulate model robustness without catastrophic forgetting. Dockerized, EU AI Act compliance reporting.

Implementation of COCO-LM, Correcting and Contrasting Text Sequences for Language Model Pretraining, in Pytorch

Implementation of Kalmanformer, modeling the Kalman gain with a transformer

The official repository for our paper "Are Neural Nets Modular? Inspecting Functional Modularity Through Differentiable Weight Masks". We develop a method for analyzing emerging functional modularity in neural networks based on differentiable weight masks and use it to point out important issues in current-day neural networks.

spaCy-wrap is a wrapper library for spaCy for including fine-tuned transformers from Huggingface in your spaCy pipeline allowing you to include existing fine-tuned models within your SpaCy workflow.

Getting started with Hugging Face