Deep Learning

PyTorch vs. TensorFlow

Mapping the World: Creating a Global and Temporal High-Resolution Building Density Map

Take large scale AI from research to production with Google Cloud's AI Hypercomputer

What is U-Net in Diffusion Models? #diffusionwithav #learnwithav #generativeai #diffusion

CODE Fine-Tune Vision Language VLM eg PaliGemma-3B

DINO -- Self-supervised ViT

Top 10 Deep Learning Interview Questions And Answers | AI & Deep Learning Interview Questions

Quantizing Transformers by Helping Attention Heads Do Nothing with Markus Nagel - 663

Generative Adversarial Networks | Tutorial with Math Explanation and PyTorch Implementation

Applied Deep Learning 2023 - Lecture 9 - Preprocessing, Augmentation, Regularization, Visualization

Diffusion Models from scratch | DDPM PyTorch Implementation

Metaflow for distributed high-performance computing and large-scale AI training

Build high performance & cost-effective ML apps using Amazon SageMaker- AWS Virtual Workshop

Lightning Talk: PyTorch 2.0 on the ROCm Platform - Douglas Lehr, AMD

The Evolving Landscape of Dataloading - Laurence Rouesnel, Meta

The Defeat of the Winograd Schema Challenge

75 years of Language Models

How DeepFake Works - Artificial Intelligence #datascience

Sentence Embeddings - EXPLAINED!

Designing Human in the Loop Experiences for LLMs // Alberto Rizzoli // LLMs in Prod Con Part 2

George Hotz | Latent Space Ep 18: Petaflops to the People — with George Hotz of tiny corp | tinygrad

Lesson 4 of Prompt Engineering Course | Fundamentals of Neural Networks | ChatGpt

Recommendation Systems Dev Summit

Deep Learning for Computer Vision with Python and TensorFlow – Complete Course

Sloth or Pastry? Using PyTorch and Deep Learning for Image Classification

New TECH: Vision Transformer 2023 on Image Classification | AI

NVIDIA’s New AI: Paint Like Bob Ross!

Experiment NVIDIA TAO Toolkit and pretrained models on Google Colab

GANs in 60 seconds!

Applied Deep Learning 2022 - Lecture 9 - Preprocessing, Augmentation, Regularization, Visualization

Google A.I. Diffusion Image Editing w/ Prompt to Prompt

Modular and Composable Transfer Learning with Jonas Pfeiffer

The Wrong Batch Size Will Ruin Your Model

Variational Autoencoder from scratch in PyTorch

Transformers for Tabular Data at Capital One with Bayan Bruss - #591

Active Learning. The Secret of Training Models Without Labels.

Diffusion models from scratch in PyTorch

Lightning Talk: Uplink Interference Optimizer, How to Optimize a Cellular Network...- Oscar Gonzalez

TorchBench: Guarding the Performance of the PyTorch Ecosystem with Continuous Benchmarking - Xu Zhao

I implement DALLE 1 from SCRATCH on MNIST

Convolution in NLP

Word2Vec, GloVe, FastText- EXPLAINED!

PyTorch New York Meetup - June 2023

3D Visualization for BERT: How to Pre-Train with a New Layer & Fine-Tune with Downstream Task Layer

TF2: Pre-Train BERT from scratch (a Transformer), fine-tune & run inference on text | KERAS NLP

Pre-Train BERT from scratch: Solution for Company Domain Knowledge Data | PyTorch (SBERT 51)

TorchStudio, an AI training assistant for PyTorch

Pythae: Unifying Generative Autoencoder Implementations in PyTorch