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Search results for deep learning differentiation
deep-learning
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differentiation
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21 search results found
Gorgonia
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5,330
Gorgonia is a library that helps facilitate machine learning in Go.
Tangent
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2,066
Source-to-Source Debuggable Derivatives in Pure Python
Effectivepytorch
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1,321
PyTorch tutorials and best practices.
Tensorlang
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303
Tensorlang, a differentiable programming language based on TensorFlow
Kayak
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231
Kayak is a library for automatic differentiation with applications to deep neural networks.
Awesome Haskell Deep Learning
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207
In the tradition of "awesome" (curated) lists, this is a list of references and code for doing deep learning in Haskell.
Nnlib.jl
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187
Neural Network primitives with multiple backends
Backprop
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180
Heterogeneous automatic differentiation ("backpropagation") in Haskell
Autograd.jl
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160
Julia port of the Python autograd package.
Lantern
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139
Compositional_deep_learning
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106
Deep learning via category theory and functional programming
Deepnet
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84
Deep.Net machine learning framework for F#
Autonn
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80
A fast and expressive Matlab/MatConvNet deep learning API, with native automatic differentiation
Math And Ml Notes
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77
Books, papers and links to latest research in ML/AI
Blackbox Deep Graph Matching
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53
Repository for our paper: Deep Graph Matching via Blackbox Differentiation of Combinatorial Solvers
Qualia2.0
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41
Qualia is a deep learning framework deeply integrated with automatic differentiation and dynamic graphing with CUDA acceleration. Qualia was built from scratch.
Deep Learning Optimization Algorithms
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37
Visualization of various deep learning optimization algorithms using PyTorch automatic differentiation and optimizers.
Diffhask
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26
DSL for forward and reverse mode automatic differentiation in Haskell. Port of DiffSharp.
Buildtensorflow
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17
A lightweight deep learning framework made with ❤️
Cefcon
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13
Deciphering driver regulators of cell fate decisions from single-cell RNA-seq data
Nim Rmad
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10
Autograd (backpropagation, reverse-mode auto differentiation) in Nim
Semiflow
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9
SemiFlow is a deep learning framework with automatic differentiation and automatic shape inference, developing from Numpy. 一个基于Numpy支持自动求导的深度学习框架
Sympyle
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9
Automatic differentiation in python
Brunoflow
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7
A simple, well-documented, pedagogical deep learning framework implemented entirely in Python
Reverse Mode Automatic Differentiation Cpp
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6
A simple implementation of reverse mode automatic differentiation in C++ without the use of any libraries.
Psc_differentiation
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6
Applying deep learning for very early recognition of pluripotent stem cell differentiation
Ml Jvm
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6
Curated list of machine learning and deep learning frameworks and resources for JVM
Book Deep Learning From Scratch
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5
O'Reilly Japanの『ゼロから作る Deep Learning』の読書レポジトリ
Dnn
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5
Automatic differentiation deep neural network framework.
Quarto
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5
Quarto is a toy-level, self-implemented deep learning library with autograd.
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1-21 of 21 search results
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