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ai-metrics

An open source project to document AI progress through data.

awesome-jax

JAX - A curated list of resources https://github.com/google/jax

chainer

A flexible framework of neural networks for deep learning

chainer2pytorch

chainrules.jl

Common utilities for defining forward-, reverse-, and mixed-mode automatic differentiation primitives

compat.jl

Compatibility across Julia versions

cuarrays.jl

A Curious Cumulation of CUDA Cuisine

cublas.jl

Julia interface to CUBLAS

cudaapi.jl

Reusable components for CUDA API development.

cudadrv.jl

A Julia wrapper for the CUDA driver API.

cudnn.jl

Julia wrapper for the NVIDIA cuDNN GPU deep learning library

cxx.jl

The Julia C++ Interface

deeplearning

Neural network library for Swift for TensorFlow.

examples

fastai_docs

dev notebooks (for docs see http://docs.fast.ai and https://github.com/fastai/fastai)

flux.jl

Relax! Flux is the ML library that doesn't make you tensor

functionalcontrolflow.jl

gpuarrays.jl

Array operations defined for all kind of GPU backends.

irtools.jl

jax

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

jax_vs_numba_glicko

Comparing Jax and Numba for Glicko code

julia

The Julia Language: A fresh approach to technical computing.

minibatch.jl

nlp-oss

With great scientific breakthrough comes solid engineering.

places365

The Places365-CNNs for Scene Classification

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

revtok

Reversible tokenization in Python.

revtok.jl

reversible tokenization and subword splitting in julia

spacy.jl

Julia interface for SpaCy NLP library

swift

The Swift Programming Language