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Minimal Implementation of a D3PM in pytorch
[GPT beats diffusion🔥] [scaling laws in visual generation📈] Official impl. of "Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction". An *ultra-simple, user-friendly …
This repo contains the official PyTorch implementation of: Diverse and Aligned Audio-to-Video Generation via Text-to-Video Model Adaptation
Audiocraft is a library for audio processing and generation with deep learning. It features the state-of-the-art EnCodec audio compressor / tokenizer, along with MusicGen, a simple and controllable…
This repo contains the official PyTorch implementation of AudioToken: Adaptation of Text-Conditioned Diffusion Models for Audio-to-Image Generation
Official code for the paper "PADA: Example-based Prompt Learning for on-the-fly Adaptation to Unseen Domains".
In this project, we provide a strong template for a PyTorch project. The purpose of this repository is to provide an example (and strong utils on the way) for a deep learning project using PyTorch.
PyTorch implementation of bayesian neural network.
A collections of papers about VQA-CP datasets and their results
Noise Conditional Score Networks (NeurIPS 2019, Oral)
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
Methods of training NLP models to ignored biased strategies
Provable adversarial robustness at ImageNet scale
A unified framework of perturbation and gradient-based attribution methods for Deep Neural Networks interpretability. DeepExplain also includes support for Shapley Values sampling. (ICLR 2018)
Python implementation of the paper 'Outcome-Adaptive Lasso: Variable Selection for Causal Inference'
Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams
ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline, Orchestration, Scheduling & Serving in one MLOps/LLMOps solution
On the Variance of the Adaptive Learning Rate and Beyond
Turn Python scripts into handouts with Markdown and figures
Tensors and Dynamic neural networks in Python with strong GPU acceleration
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
Learn OpenCV : C++ and Python Examples