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Mapping
New
Medicines
youtube.com
Β·
45m
πΊοΈ
Spatial Transcriptomics
Creating
massively
huge fake files and
binaries
fzakaria.com
Β·
8h
π¦
parquet files
Vibe
Coding for Scientists
vibe-coding-intro.vercel.app
Β·
18h
π
Streamlit
One Platform to Run Apps, Data, and AI
Anywhere
nutanix.com
Β·
13h
π¦
HDF5
I Built a Free
Synthetic
Data Generator β Here's How (React +
Tailwind
)
data-faker-tool.vercel.app
Β·
8h
Β·
Discuss:
DEV
π
FASTQ
Recent OP_RETURN
output
statistics
delvingbitcoin.org
Β·
11h
π²
Zarr
π¬Science at the speed of inference β Gabriele Corso & Jeremy
Wohlwend
,
Boltz
latent.space
Β·
6h
π
Differential Expression
AI/BI
Genie
, Foundational Model API, and Databricks Assistant Now Generally Available in AWS
GovCloud
databricks.com
Β·
1h
π¦
DuckDB
ConGLUDe
: Toward
General-Purpose
Foundation Models for Drug Discovery
cbirt.net
Β·
1d
πΊοΈ
UMAP
Evolving
our real-time
timeseries
storage again: Built in Rust for performance at scale
datadoghq.com
Β·
3d
π²
Zarr
a free-to-use data
modeler/generator
for any database
synthforge.io
Β·
1d
Β·
Discuss:
Hacker News
π¦
DuckDB
skorotkiewicz/grab
: Asynchronous file
downloader
written in Rust.
github.com
Β·
1h
Β·
Discuss:
Hacker News
π²
Zarr
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Show HN:
OCR
Arena β A
playground
for
OCR
models
news.ycombinator.com
Β·
16h
Β·
Discuss:
Hacker News
πΊοΈ
UMAP
Efficient Learning of
Sparse
Representations
from Interactions
arxiv.org
Β·
1d
π
Matrix Factorization
Telomere to telomere level genome assembly of the Yarkand hare (
Lepus
yarkandensis
)
nature.com
Β·
2h
π
FASTQ
Learning Coupled Actions of Lie Groups:
Kuramoto
Models for Robotics and
Hyperbolic
Data
hackernoon.com
Β·
2d
πΊοΈ
Manifold Learning
Introducing
Dedicated
Container Inference:
Delivering
2.6x faster inference for custom AI models
together.ai
Β·
8h
π²
Zarr
DeepChopper
model improves RNA sequencing research by mitigating
chimera
artifacts
phys.org
Β·
2d
π
FASTQ
Show HN: A
compiled
programming language for LLM-to-LLM
communication
[pdf]
sifsystemsmcrd.com
Β·
17h
Β·
Discuss:
Hacker News
π
FASTQ
Order
parameters
and phase transitions of
continual
learning in deep neural networks
pnas.org
Β·
19h
β°οΈ
Gradient Descent
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