ML for Microbial Genomics by Janani Ravi
Explore machine learning applications in microbial genomics, focusing on data analysis techniques and their relevance to understanding microbial genetic structures and functions.
Macular Maladies - Degenerations, Detachments and Holes - Protean
Explore macular degenerations, detachments, and holes with expert insights. Learn about diagnosis, treatment options, and latest advancements in managing these complex retinal conditions.
Wikipedia Vector Search Demo with Weaviate
Explore semantic search through Wikipedia using Weaviate, featuring demos of vector search, question answering, and applications in various domains like protein folding and natural language processing.
ElasticON EMEA - The Search for Relevance with Vector Search
Explore vector search in Elastic, enabling semantic queries for text, images, and audio. Learn about new intelligent discovery methods and combining vector with traditional search techniques.
Stable Diffusion- Training SDXL 1.0 - Finetune, LoRA, D-Adaptation, Prodigy
Comprehensive guide to training SDXL 1.0 using various techniques like LoRA and D-Adaptation. Covers practical tools, theoretical concepts, and step-by-step instructions for fine-tuning on different platforms.
How to Do SDXL LoRA Training on RunPod with Kohya SS GUI Trainer and Use LoRAs with Automatic1111 UI
Learn to train SDXL LoRAs on RunPod using Kohya SS GUI and utilize them with Automatic1111 UI. Covers setup, configuration, model training, and image generation techniques for cloud-based Stable Diffusion workflows.
Transformer Neural Networks, ChatGPT's Foundation, Clearly Explained
Clear explanation of Transformer Neural Networks, the foundation of ChatGPT and modern AI. Covers key concepts like word embedding, self-attention, and encoder-decoder architecture.
Flash Attention 2.0 with Tri Dao - Discord Server Talks
Explore Flash Attention 2.0 with author Tri Dao, covering its motivation, improvements, and future directions. Gain insights into memory bottlenecks and IO awareness in attention mechanisms for long sequences.
Stable Diffusion and Midjourney - Celebs and Superheroes
Explore AI-generated celebrity and superhero mashups using Stable Diffusion and Midjourney. Learn techniques for image creation, manipulation, and optimization while discovering the quirks and capabilities of these AI tools.
Training Deep Learning Computer Vision Models in Pytorch Part II by Pranay Goel
Learn advanced techniques for training deep learning computer vision models using PyTorch, including optimization strategies and model architectures for improved performance and accuracy.
Training Deep Learning Computer Vision Models in Pytorch - Part I
Learn to train deep learning computer vision models using PyTorch, covering essential techniques and best practices for developing effective image analysis solutions.
Bone Age Detection From Hand X-rays Using Deep Learning
Explore deep learning techniques for bone age detection from hand X-rays, enhancing medical diagnostics and patient care through advanced image analysis.
SDXL 1.0 in A1111 - Everything You Need to Know + Common Errors
Comprehensive guide to using SDXL 1.0 in A1111, covering new features, downloads, settings, and advanced techniques for optimal image generation results.
ChatGPT Explained - All You Need to Know - Tutorial
Explore ChatGPT's fundamentals, applications, and underlying technologies. Learn about Generative AI, GPT models, and prompt engineering techniques reshaping digital communication and AI interactions.
Anomaly Detection with Autoencoder
Learn to detect anomalies using autoencoders in high energy physics data analysis. Explore advanced machine learning techniques for uncovering rare events and potential new physics.
Language & Vision
Explore the intersection of language and vision in AI, covering deep networks, sampling-based planners, and multitasking models for advanced communication and perception.
Adversarial Examples and Human-ML Alignment
Explore adversarial examples in machine learning, their impact on human-ML alignment, and strategies for improving model robustness and interpretability.
Decoding Animal Behavior Through Pose Tracking
Explore deep learning techniques for animal pose tracking and behavior analysis, from fruit flies to giraffes. Learn to apply computer vision methods to quantify and interpret animal body language across species.
Deciphering Brain Codes to Build Smarter AI
Explore neural mechanisms of pattern completion and visual inference, and how biologically-inspired models can enhance AI systems for improved visual recognition and search.
Improving Generalization by Self-Training & Self Distillation
Explore self-training and self-distillation techniques to improve model generalization, with insights on regularization effects and applications in deep learning.
Beyond Empirical Risk Minimization - The Lessons of Deep Learning
Explore deep learning's challenge to traditional machine learning wisdom, examining the "double descent" risk curve and how over-parametrized models can generalize well despite perfect training fit.