Efficient CUDA kernels for training convolutional neural networks with PyTorch.

Code for the paper "How to catch an AI liar: Lie detection in black-box LLMs by asking unrelated questions"

My repo to understand different types of attention in Transformers

Explore audio and images with one line of code. Python plotting library for data visualisation.

Uncertainty quantification with PyTorch

RobustSAM: Segment Anything Robustly on Degraded Images (CVPR 2024 Highlight)

PyTorch Lightning + Hydra. A very user-friendly template for ML experimentation. ⚡🔥⚡

Bayesian Deep Learning tutorial given at the Open Data Science Conference 2024

GPT4V-level open-source multi-modal model based on Llama3-8B

Sparse autoencoders

🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

deepfake dataset collected on the web for deepfake detection

LLM101n: Let's build a Storyteller

METR Task Standard

Foundational model for human-like, expressive TTS

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…

Library for ML model score analysis

The Amazon S3 Connector for PyTorch delivers high throughput for PyTorch training jobs that access and store data in Amazon S3.

A simple GUI for experimenting with visual prompting

An Extensible Deep Learning Library

LLM Workshop by Sourab Mangrulkar

A simple snapshotting system for managing research results using Git.

Implementation of popular ML algorithms from scratch