Every day, interesting machine learning projects get posted to GitHub, but they soon disappear into the abyss if you're not quick to bookmark them. I've created a small collection of ML projects that stood out to me from HN, reddit, and GitHub. Preference was given to open source projects witht an online demo. Let me know if I missed any!
About ML Showcase on Product Hunt
“A curated collection of machine learning projects”
ML Showcase launched on Product Hunt on September 16th, 2017 and earned 207 upvotes and 1 comments, earning #3 Product of the Day. Every day, interesting machine learning projects get posted to GitHub, but they soon disappear into the abyss if you're not quick to bookmark them. I've created a small collection of ML projects that stood out to me from HN, reddit, and GitHub. Preference was given to open source projects witht an online demo. Let me know if I missed any!
On the analytics side, ML Showcase competes within API, Artificial Intelligence and Tech — topics that collectively have 1.2M followers on Product Hunt. The dashboard above tracks how ML Showcase performed against the three products that launched closest to it on the same day.
Who hunted ML Showcase?
ML Showcase was hunted by Nick. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of ML Showcase including community comment highlights and product details, visit the product overview.
Nick