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61.
▲
Show HN: Mcpbr – does your MCP help? Test it on SWE-bench and 25 evals
github.com/greynewell
discuss
5 months ago
greynewell
4 points
62.
▲
Sktime: Machine Learning for Time Series
discuss
5 years ago
XoS-490
4 points
63.
▲
Show HN: DeepShot – NBA game predictor with 70% accuracy using ML and stats
github.com/saccofrancesco
5 comments
8 months ago
frasacco05
3 points
64.
▲
Show HN: DeepShot – NBA game predictor with 70% accuracy using ML and stats
github.com/saccofrancesco
3 comments
7 months ago
Fr4ncio
3 points
65.
▲
Show HN: SuperDuperDB - Unleash the Power of AI in Your Database
github.com/SuperDuperDB
3 comments
3 years ago
kartik-sddb
3 points
66.
▲
Show HN: DeepShot – NBA game predictor with 70% accuracy using ML and stats
github.com/saccofrancesco
1 comment
7 months ago
Fr4ncio
3 points
67.
▲
Pynear 2.3 Is Out
discuss
a month ago
pcael
3 points
68.
▲
Show HN: DeepShot – NBA game predictor with 70% accuracy using ML and stats
github.com/saccofrancesco
discuss
8 months ago
frasacco05
3 points
69.
▲
Show HN: New desktop app for Python notebooks, for beginners in data science
github.com/mljar
discuss
a year ago
pplonski86
3 points
70.
▲
Show HN: Hardware-Friendly Text Classification with Model2Vec
github.com/MinishLab
discuss
a year ago
Pringled
3 points
71.
▲
Show HN: Compression-Based Classification
github.com/willf
discuss
3 years ago
willf
3 points
72.
▲
10 Python Classes [Santa Clara] Nov 28 to Feb 13
discuss
9 years ago
bikle
3 points
73.
▲
Show HN: OS Library for Conditional Gaussian Mixture Modelling in Python
1 comment
9 months ago
sitmo
2 points
74.
▲
Show HN: MLtraq – Track and Collaborate on AI Experiments (Open-Source)
1 comment
2 years ago
micheda
2 points
75.
▲
Show HN: PyNear – exact and approximate KNN, faster than Faiss
discuss
3 months ago
pcael
2 points
76.
▲
Show HN: Endgame – Production-aware ML under the sklearn API
discuss
4 months ago
cameronhamilton
2 points
77.
▲
Show HN: I built a visual, MLOps tool (Skyulf)
skyulf.com
discuss
6 months ago
flyingriverhrse
2 points
78.
▲
Show HN: DeepShot – NBA game predictor with 70% accuracy using ML and stats
github.com/saccofrancesco
discuss
8 months ago
frasacco05
2 points
79.
▲
Show HN: Machine Learning for Time Series
discuss
5 years ago
XoS-490
2 points
80.
▲
I've put a lot of effort into this. Take a look
discuss
7 years ago
clone95
2 points
81.
▲
Show HN: DeepShot – NBA game predictor with 70% accuracy using ML and stats
github.com/saccofrancesco
discuss
8 months ago
frasacco05
1 points
82.
▲
Show HN: ML Library created by Python+NumPy (trains CNNs to a toy GPT-2)
github.com/workofart
discuss
a year ago
megadragon9
1 points
83.
▲
Show HN: From-Scratch ML Library (trains models from CNNs to a toy GPT-2)
github.com/workofart
discuss
a year ago
megadragon9
1 points
84.
▲
Show HN: I Self Published a Book on “Data Science in Production”
discuss
6 years ago
bweber
1 points
85.
▲
Project Based Python Class Feb 26 Through May 7
discuss
8 years ago
bikle
1 points
86.
▲
Regression with non-Gaussian Noise assumption
2 comments
10 years ago
data_juggernaut
2 points