Riffusion Reviews

Scikit-learn Reviews

Riffusion mentions (5)

• Ask HN: Who is hiring? (April 2024)

  Riffusion - Generative AI for Music | Research Scientist, Research Engineer | San Francisco | Full-time Riffusion is a small team training foundation models for music generation and building products that create more musicians in the world. We strive to create and deploy models that are expressive, fast, controllable, and inspiring at scale. We’re establishing our founding research team and looking for individuals... - Source: Hacker News / over 2 years ago

• Safetensors / AIWAVE (full album made with a secret ingredient)

  You can try it for yourself on riffusion.com. Source: about 3 years ago

• If anyone is a 3d artist, musician, photoshop, etc etc, and makes grimes fan art for free anyway, and would accept some small payment, to do some fun work with me, where youd also be having creative control, i want to use riffusion and blender to make some grimes related fanart but really HQ

  I just want to see if anyone is a 3d artist and a musician, and maybe someone who can work with riffusion, to enter a seed file of a grimes song or a few, download the 5 second riffs riffusion.com generates 9Its all prety easy but I dont wanna do the github work lol) and just make a song or give those to the producer who can have fun making a really cool song out of it, and I can help with that if we work with it... Source: over 3 years ago

• Grimes playing only the black keys

  Im good at giving specific instructions to artists that I know is reasonable and that you can actually do and will work with you up to a point in understanding of blender and photoshop etc , but I need help with music, and I want to use riffusion.com and I nee dhelp learning to set that up so someoen whoc an do thatw ork, with the github, where you reuplaod a seed file, of a song, so we can have our own custom... Source: over 3 years ago

• Choppy transition

  I installed Riffusion as per the install tutorial here on reddit. Works well sofar, the only issue I encounter is that the transition between the segments is very choppy, nothing smooth like you got on the riffusion.com website. Source: over 3 years ago

Scikit-learn mentions (40)

• Detecting Ingress Tool Transfer (T1105) with Python

  Certutil.exe or notepad.exe opening an external connection lands in rare because, fleet-wide, those processes almost never egress. Tune the <= 3 threshold to your environment size. For a more principled version, score each (process, destination) pair by frequency and treat the long tail as the hunt queue, which is the same idea behind scikit-learn's rarity-based anomaly methods without the model overhead. - Source: dev.to / about 1 month ago

• Best AI Cybersecurity Training for Security Teams: How to Pick

  Pre-configured environment. A working VM or container with Jupyter, pandas, scikit-learn, and transformers already installed. Realistic security datasets loaded. GTK Cyber students work in the Centaur VM, a free Apache 2.0 portable lab. If the first hour of training is fighting CUDA installs, the course is not ready. - Source: dev.to / about 2 months ago

• Where to Get Hands-On AI Training for Cybersecurity Professionals

  Pre-configured environment. A good course ships a VM or container with Jupyter, pandas, scikit-learn, PyTorch or transformers, and realistic security datasets loaded. GTK Cyber students work in the Centaur VM, a free Apache 2.0 portable lab. No setup tax. - Source: dev.to / about 2 months ago

• How Anomaly Detection Actually Works in Security Operations

  Isolation-based models: Build random decision trees that split features. Points that are isolated quickly (short average path length across trees) are anomalies. IsolationForest in scikit-learn implements this. Handles high-dimensional feature spaces without assuming a distribution. - Source: dev.to / 3 months ago

• Building a Personalized Meal Recommendation System

  In practice, you’ll want to use libraries (like scikit-learn or TensorFlow.js for more advanced modeling), but the principle remains: find what similar users enjoy, and use that as a basis for recommendations. - Source: dev.to / 4 months ago