Pinned Repositories
3d_nn
Raymarching neural network in browsers with WebGL shaders
arogozhnikov.github.io
'Brilliantly wrong' blog, Machine Learning visualizations live here
demuxalot
Reliable, scalable, efficient demultiplexing for single-cell RNA sequencing
eindex
Multidimensional indexing for tensors
einops
Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)
hep_ml
Machine Learning for High Energy Physics.
infiniteboost
InfiniteBoost: building infinite ensembles with gradient descent
python3_with_pleasure
A short guide on features of Python 3 with examples
readable_capsnet
Blazingly fast capsule networks in 75 lines of pytorch+einops
rtg_score
Rank-To-Group score evaluates contribution of confounding factors
arogozhnikov's Repositories
arogozhnikov/einops
Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)
arogozhnikov/python3_with_pleasure
A short guide on features of Python 3 with examples
arogozhnikov/3d_nn
Raymarching neural network in browsers with WebGL shaders
arogozhnikov/infiniteboost
InfiniteBoost: building infinite ensembles with gradient descent
arogozhnikov/hep_ml
Machine Learning for High Energy Physics.
arogozhnikov/arogozhnikov.github.io
'Brilliantly wrong' blog, Machine Learning visualizations live here
arogozhnikov/eindex
Multidimensional indexing for tensors
arogozhnikov/readable_capsnet
Blazingly fast capsule networks in 75 lines of pytorch+einops
arogozhnikov/demuxalot
Reliable, scalable, efficient demultiplexing for single-cell RNA sequencing
arogozhnikov/rtg_score
Rank-To-Group score evaluates contribution of confounding factors
arogozhnikov/adamw_bfloat16
AdamW optimizer for bfloat16 models in pytorch 🔥.
arogozhnikov/iview5d
Extremely simplistic viewer of small ndimensional patches for jupyter notebook. Powered by einops
arogozhnikov/tcr-matching
Learning T-cell immunity *without* knowing peptides
arogozhnikov/arogozhnikov
arogozhnikov/cellxgene-gateway
Cellxgene Gateway allows you to use the Cellxgene Server provided by the Chan Zuckerberg Institute (https://github.com/chanzuckerberg/cellxgene) with multiple datasets.
arogozhnikov/cupy
NumPy & SciPy for GPU
arogozhnikov/demuxlet
Genetic multiplexing of barcoded single cell RNA-seq
arogozhnikov/incubator-mxnet
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
arogozhnikov/kronecker-attention-pytorch
Implementation of Kronecker Attention in Pytorch
arogozhnikov/micro-openfold
attempt to update openfold code to make it installable in 2024. Dropping binaries
arogozhnikov/microANARCI
Minified version of ANARCI, pip-installable
arogozhnikov/microDockQ
minified, pip-installable version of DockQ metric
arogozhnikov/mint
Multi-modal Content Creation Model Training Infrastructure including the FACT model (AI Choreographer) implementation.
arogozhnikov/mlp-mixer-pytorch
An All-MLP solution for Vision, from Google AI
arogozhnikov/numpy
Numpy main repository
arogozhnikov/pysam
Pysam is a Python module for reading and manipulating SAM/BAM/VCF/BCF files. It's a lightweight wrapper of the htslib C-API, the same one that powers samtools, bcftools, and tabix.
arogozhnikov/scanpy
Single-Cell Analysis in Python. Scales to >1M cells.
arogozhnikov/sloths
when pandas is too much hassle
arogozhnikov/streamlit-aggrid
Implementation of Ag-Grid component for Streamlit
arogozhnikov/tooltool
Personal tools used in various places