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121.
▲
Show HN: Bodhi App – Run Open Source/Weights HuggingFace LLMs Locally
(github.com/BodhiSearch)
21 points
anagri
2 years ago
13 comments
122.
▲
Why “negative vectors” can't delete data in FAISS – but weighted kernels can
(github.com/nikitph)
21 points
loaderchips
6 months ago
4 comments
123.
▲
Microsoft open weights VibeVoice TTS supports 90 minutes speech, 4 speakers
(github.com/microsoft)
14 points
Terretta
9 months ago
2 comments
124.
▲
OpenScale: Free your body weight scale
(github.com/oliexdev)
14 points
apatap
5 years ago
1 comment
125.
▲
Code, Weights for VQ Diffusion Model for Text-to-Image Sythesis from Microsoft
(github.com/microsoft)
13 points
rg111
4 years ago
1 comment
126.
▲
LWDR: Light Weight D Runtime
(github.com/hmmdyl)
12 points
teleforce
5 years ago
1 comment
127.
▲
Show HN: Go implementation of Welford's algorithm for weighted variance
(github.com/axiomhq)
11 points
seiflotfy
5 years ago
1 comment
128.
▲
Show HN: Bonsai – A Competitive Ternary Weight LLM
(github.com/deepgrove-ai)
11 points
deepgrove
a year ago
discuss
129.
▲
PySparNN: Approximate Nearest Neighbor Search for Sparse Data in Python
(github.com/facebookresearch)
11 points
spencebeecher
10 years ago
discuss
130.
▲
Muon – A Light(er)weight GPU Based Electron Alternative Using Ultralight and Go
(github.com/ImVexed)
10 points
2StepsOutOfLine
7 years ago
3 comments
131.
▲
Show HN: Light-weight C++ library for Keras
(github.com/pplonski)
10 points
pplonski86
9 years ago
discuss
132.
▲
Light-weight job scheduling library for node
(github.com/rschmukler)
9 points
cdouce
13 years ago
2 comments
133.
▲
Show HN: React hooks that predict text height before render, using font metrics
8 points
ahmadparizaad
2 months ago
2 comments
134.
▲
Larql: LLMs Are Databases. Query neural network weights like a graph database
(github.com/chrishayuk)
8 points
pella
2 months ago
1 comment
135.
▲
Vespa.ai 5x faster than Elasticsearch at nearest neighbor ranking
(github.com/jobergum)
8 points
andreer
7 years ago
1 comment
136.
▲
Show HN: (Weighted) PageRank implementation in Go
(github.com/alixaxel)
8 points
alixaxel
11 years ago
discuss
137.
▲
Show HN: Terracotta, a light-weight XYZ tile server in Python
(github.com/DHI-GRAS)
7 points
dionhaefner
7 years ago
3 comments
138.
▲
Show HN: CLaaS – Update your local LLM's weights in real time from text feedback
(github.com/kfallah)
6 points
kfallah
3 months ago
3 comments
139.
▲
Show HN: I made a OSS alternative to Weights and Biases
(github.com/mlop-ai)
6 points
LakeeSiv
a year ago
2 comments
140.
▲
Show HN: PgANN Approximate Nearest Neighbor Searches with PostgreSQL Back End
(github.com/netrasys)
6 points
bobosha
7 years ago
1 comment
141.
▲
Anubis: Weighs the soul of HTTP requests using proof-of-work to stop AI crawlers
(github.com/TecharoHQ)
6 points
pabs3
a year ago
discuss
142.
▲
Show HN: jQuery-Parse, A super light-weight $.ajax wrapper for Parse.com
(github.com/srhyne)
6 points
srhyne
14 years ago
discuss
143.
▲
Plane: Open-Source Jira, Linear and Height Alternative
(github.com/makeplane)
6 points
thunderbong
3 years ago
discuss
144.
▲
Alpaca-LoRA (LLaMA instruct fine-tune) – open-source training code and weights
(github.com/tloen)
6 points
Tiberium
3 years ago
discuss
145.
▲
Show HN: A real-world heightmap terrain with an animated energy dome (in Go)
(github.com/MauriceGit)
6 points
EllipticCurve
8 years ago
discuss
146.
▲
Machine Learning on Sequential Data Using a Recurrent Weighted Average
(github.com/jostmey)
6 points
happy-go-lucky
9 years ago
discuss
147.
▲
Libmc: A fast and light-weight memcached client for C++/Python
(github.com/douban)
5 points
myautsai
11 years ago
1 comment
148.
▲
IPv6 neighbor discovery on EdgeRouter is not usable in real scenarios
(github.com/urnetwork)
5 points
mulchpower
8 months ago
1 comment
149.
▲
Anavi Macro Pad 8: open-source, programmable, eight-key keypad with OLED screen
(github.com/AnaviTechnology)
5 points
type0
4 years ago
1 comment
150.
▲
Inferno – extremely fast, light-weight, isomorphic component building framework
(github.com/trueadm)
5 points
tilt
10 years ago
1 comment
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