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61.
▲
Sktime: Machine Learning for Time Series
4 points
XoS-490
5 years ago
discuss
62.
▲
Show HN: DeepShot – NBA game predictor with 70% accuracy using ML and stats
(github.com/saccofrancesco)
3 points
frasacco05
7 months ago
5 comments
63.
▲
Show HN: DeepShot – NBA game predictor with 70% accuracy using ML and stats
(github.com/saccofrancesco)
3 points
Fr4ncio
7 months ago
3 comments
64.
▲
Show HN: SuperDuperDB - Unleash the Power of AI in Your Database
(github.com/SuperDuperDB)
3 points
kartik-sddb
3 years ago
3 comments
65.
▲
Show HN: DeepShot – NBA game predictor with 70% accuracy using ML and stats
(github.com/saccofrancesco)
3 points
Fr4ncio
7 months ago
1 comment
66.
▲
Pynear 2.3 Is Out
3 points
pcael
13 days ago
discuss
67.
▲
Show HN: DeepShot – NBA game predictor with 70% accuracy using ML and stats
(github.com/saccofrancesco)
3 points
frasacco05
7 months ago
discuss
68.
▲
Show HN: New desktop app for Python notebooks, for beginners in data science
(github.com/mljar)
3 points
pplonski86
a year ago
discuss
69.
▲
Show HN: Hardware-Friendly Text Classification with Model2Vec
(github.com/MinishLab)
3 points
Pringled
a year ago
discuss
70.
▲
Show HN: Compression-Based Classification
(github.com/willf)
3 points
willf
3 years ago
discuss
71.
▲
10 Python Classes [Santa Clara] Nov 28 to Feb 13
3 points
bikle
9 years ago
discuss
72.
▲
Show HN: OS Library for Conditional Gaussian Mixture Modelling in Python
2 points
sitmo
8 months ago
1 comment
73.
▲
Show HN: MLtraq – Track and Collaborate on AI Experiments (Open-Source)
2 points
micheda
2 years ago
1 comment
74.
▲
Show HN: PyNear – exact and approximate KNN, faster than Faiss
2 points
pcael
2 months ago
discuss
75.
▲
Show HN: Endgame – Production-aware ML under the sklearn API
2 points
cameronhamilton
3 months ago
discuss
76.
▲
Show HN: I built a visual, MLOps tool (Skyulf)
(skyulf.com)
2 points
flyingriverhrse
5 months ago
discuss
77.
▲
Show HN: DeepShot – NBA game predictor with 70% accuracy using ML and stats
(github.com/saccofrancesco)
2 points
frasacco05
7 months ago
discuss
78.
▲
Show HN: Machine Learning for Time Series
2 points
XoS-490
5 years ago
discuss
79.
▲
I've put a lot of effort into this. Take a look
2 points
clone95
7 years ago
discuss
80.
▲
Show HN: DeepShot – NBA game predictor with 70% accuracy using ML and stats
(github.com/saccofrancesco)
1 point
frasacco05
7 months ago
discuss
81.
▲
Show HN: ML Library created by Python+NumPy (trains CNNs to a toy GPT-2)
(github.com/workofart)
1 point
megadragon9
a year ago
discuss
82.
▲
Show HN: From-Scratch ML Library (trains models from CNNs to a toy GPT-2)
(github.com/workofart)
1 point
megadragon9
a year ago
discuss
83.
▲
Show HN: I Self Published a Book on “Data Science in Production”
1 point
bweber
6 years ago
discuss
84.
▲
Project Based Python Class Feb 26 Through May 7
1 point
bikle
8 years ago
discuss
85.
▲
Regression with non-Gaussian Noise assumption
2 points
data_juggernaut
10 years ago
2 comments