srinituraga's Stars
sacdallago/bio_embeddings
Get protein embeddings from protein sequences
facebookresearch/esm
Evolutionary Scale Modeling (esm): Pretrained language models for proteins
hiranumn/DeepAccNet
Pytorch/Python3 implementation of DeepAccNet, protein model accuracy evaluator.
churchlab/UniRep
UniRep model, usage, and examples.
napari/napari
napari: a fast, interactive, multi-dimensional image viewer for python
rtqichen/torchdiffeq
Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.
vsitzmann/deepoptics
mackelab/DeepSpike
HIPS/pgmult
Dependent multinomials made easy: stick-breaking with the Pólya-gamma augmentation
BonsaiNet/Tree-GAN
Generative Adversarial Network for Tree Structured Data
blei-lab/edward
A probabilistic programming language in TensorFlow. Deep generative models, variational inference.
jcjohnson/neural-style
Torch implementation of neural style algorithm
schurterb/convnet
3D convolutional network for generating pixel-wise affinity graphs of Fly-EM data
csinva/neuronforest-analysis-scripts
Python scripts to replace Matlab for evaluation of error in connectome images and affinity graphs.
nirum/descent
First-order optimization tools
seung-lab/znn-release
Multi-core CPU implementation of deep learning for 2D and 3D sliding window convolutional networks (ConvNets).
mhlabCodingTeam/SegEM
Semi automated image analysis toolkit for Connectomics
szilard/benchm-ml
A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.).
Lasagne/Lasagne
Lightweight library to build and train neural networks in Theano
saalfeldlab/java-spark-workshop
freeman-lab/spark-janelia
scripts for using spark on janelia's cluster
torch/torch7
http://torch.ch
mlpack/mlpack
mlpack: a fast, header-only C++ machine learning library
fiji/Trainable_Segmentation
Fiji library to perform image segmentation based on the Weka learning schemes
torch/DEPRECEATED-torch7-distro
Torch7: state-of-the-art machine learning algorithms
npinto/malis
Srinivas Turaga's MALIS Code
torch/tutorials
A series of machine learning tutorials for Torch7
andresy/torch-demos
Demos and tutorials around Torch7.
hyperopt/hyperopt
Distributed Asynchronous Hyperparameter Optimization in Python
Theano/Theano
Theano was a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It is being continued as PyTensor: www.github.com/pymc-devs/pytensor