Pinned Repositories
k_tune
A kernel tuning library for OpenCL.
MatlabEmulators
meta_diff
metadiff
metaML
symbolic_polynomials
A small package for manipulation of symbolic polynomials over the integers.
zhusuan
A Library for Bayesian Deep Learning, Generative Models, Based on Tensorflow
kfac-jax
Second Order Optimization and Curvature Estimation with K-FAC in JAX.
recurrentgemma
Open weights language model from Google DeepMind, based on Griffin.
botev's Repositories
botev/metadiff
botev/meta_diff
botev/k_tune
A kernel tuning library for OpenCL.
botev/metaML
botev/symbolic_polynomials
A small package for manipulation of symbolic polynomials over the integers.
botev/zhusuan
A Library for Bayesian Deep Learning, Generative Models, Based on Tensorflow
botev/arrayfire-rust
Rust wrapper for ArrayFire
botev/bbv.github.io
botev/botev.github.io
My personal blog
botev/cytoscape.js-expand-collapse
A Cytsocape.js extension to expand/collapse nodes for better management of complexity of compound graphs
botev/DeepKoopman
neural networks to learn Koopman eigenfunctions
botev/DeepLearningFrameworks
Demo of running NNs across different frameworks
botev/dlbench
Benchmarking State-of-the-Art Deep Learning Software Tools
botev/gemma
Open weights LLM from Google DeepMind.
botev/greek-symbols
Greek symbols plugin for IntelliJ IDEA
botev/gym
A toolkit for developing and comparing reinforcement learning algorithms.
botev/jax
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
botev/kernel-gof
an interpretable linear-time kernel goodness-of-fit test
botev/kfac
An implementation of KFAC for TensorFlow
botev/MemNN
Memory Networks implementations
botev/memory_probe_ops
TensorFlow kernels for probing memory
botev/minSQN
Optimization using Stochastic quasi-Newton methods
botev/models
Models and examples built with TensorFlow
botev/motu-client-python
Motu is a high efficient and robust Web Server which fills the gap between heterogeneous data providers to end users. Motu handles, extracts and transforms oceanographic huge volumes of data without performance collapse. This client enables to extract and download data through a python command line.
botev/rust-peg
Parsing Expression Grammar (PEG) parser generator for Rust
botev/SNNs
Tutorials and implementations for "Self-normalizing networks"
botev/tensorflow
Computation using data flow graphs for scalable machine learning
botev/tensorflow_utils
Simple tensorflow utility functions I tend to use in all projects.
botev/test
botev/Theano
Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It can use GPUs and perform efficient symbolic differentiation.