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autograd

Here are 67 public repositories matching this topic...

pytorch / pytorch

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Bazel build has warnings

2

ezyang commented Aug 18, 2020

WARNING: /data/users/ezyang/pytorch-tmp/BUILD.bazel:580:1: in hdrs attribute of cc_library rule //:aten_headers: Artifact 
'bazel-out/k8-fastbuild/bin/aten/src/ATen/Config.h' is duplicated (through '//:aten/src/ATen/Config.h' and '//:aten_src_AT
en_config'). Since this rule was created by the macro 'cc_library', the error might have been caused by the macro implemen
tation

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good first issue module: build triaged

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Replace blacklist/whitelist in torch/quantization/quantize.py

3

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Replace blacklist/whitelist in torch/quantization/default_mappings.py

1

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chenyuntc / pytorch-book

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PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch：入门与实战》)

deep-learning jupyter-notebook nn pytorch autograd caption gan image-classification tensorboard tensor neural-style visdom pytorch-tutorials pytorch-tutorials-cn charrnn neuraltalk

Updated Jul 13, 2020
Jupyter Notebook

facebookresearch / flashlight

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A C++ standalone library for machine learning

machine-learning deep-learning neural-network cpp ml autograd flashlight

Updated Aug 30, 2020
C++

djl

awslabs / djl

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Yolo Model

zachgk commented Apr 8, 2020

Description

Implement a YOLO model and add it to the DJL model zoo

References

https://arxiv.org/abs/1506.02640

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CV Models good first issue

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Stanford Question Answering Dataset

5

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Penn Tree Bank Dataset

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owlbarn / owl

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Owl - OCaml Scientific and Engineering Computing @ http://ocaml.xyz

machine-learning statistics neural-network optimization matrix linear-algebra automatic-differentiation regression autograd numerical-calculations scientific-computing topic-modeling ndarray plotting gsl maths sparse-linear-systems statistical-functions mcmc algorithmic-differentation

Updated Jul 20, 2020
OCaml

mratsim / Arraymancer

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A fast, ergonomic and portable tensor library in Nim with a deep learning focus for CPU, GPU and embedded devices via OpenMP, Cuda and OpenCL backends

Updated Aug 11, 2020
Nim

prabhuomkar / pytorch-cpp

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C++ Implementation of PyTorch Tutorial for Everyone

machine-learning tutorial cplusplus neural-network torch pytorch autograd artificial-intelligence generative-adversarial-network tensors language-model convolutional-neural-network recurrent-neural-network libtorch

Updated Aug 18, 2020
C++

jermwatt / machine_learning_refined

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Notes, examples, and Python demos for the textbook "Machine Learning Refined" (published by Cambridge University Press).

data-science machine-learning deep-learning neural-network numpy slides machine-learning-algorithms jupyter-notebook autograd artificial-intelligence lecture-notes

Updated Jul 6, 2020
Python

pennylane

PennyLaneAI / pennylane

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PennyLane is a cross-platform Python library for differentiable programming of quantum computers. Train a quantum computer the same way as a neural network.

machine-learning deep-learning neural-network tensorflow optimization quantum differentiable-computing forest automatic-differentiation pytorch autograd quantum-computing quantum-chemistry quantum-machine-learning qiskit qsharp cirq strawberryfields

Updated Aug 31, 2020
Python

oreilly-japan / deep-learning-from-scratch-3

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『ゼロから作る Deep Learning ❸』(O'Reilly Japan, 2020)

python deep-learning gpu automatic-differentiation autograd nueral-networks

Updated Jul 9, 2020
Python

rusty1s / pytorch_sparse

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PyTorch Extension Library of Optimized Autograd Sparse Matrix Operations

pytorch autograd sparse sparse-matrices

Updated Aug 5, 2020
Python

airlab-unibas / airlab

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Image registration laboratory for 2D and 3D image data

pytorch autograd rapid-prototyping image-registration image-alignment

Updated Mar 23, 2020
Python

denizyuret / AutoGrad.jl

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Julia port of the Python autograd package.

data-science machine-learning deep-learning automatic-differentiation autograd neural-networks knet

Updated Aug 28, 2020
Julia

raskr / rust-autograd

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Tensors and differentiable operations (like TensorFlow) in Rust

rust machine-learning deep-learning automatic-differentiation autograd neural-networks tensor

Updated Aug 15, 2020
Rust

norse

norse / norse

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Permit positional and key-value args in parametric module constructors

Jegp commented Jun 17, 2020

In the LSNNLayer constructor we permit positional arguments, but not key-value arguments. To improve useability, we should allow both as in: https://pytorch.org/docs/stable/_modules/torch/nn/modules/rnn.html#RNN

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enhancement good first issue

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Parameterise random generator in poisson encoders

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Consider using register buffers for neuron parameters

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kaszperro / slick-dnn

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Tiny and elegant deep learning library

deep-neural-networks deep-learning autograd machine-learning-library deep-learning-library

Updated Jul 1, 2019
Python

botkop / scorch

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scorch is a deep learning framework in Scala inspired by PyTorch

scala deep-learning pytorch autograd

Updated Apr 19, 2020
Scala

qml

PennyLaneAI / qml

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Introductions to key concepts in quantum machine learning, as well as tutorials and implementations from cutting-edge QML research.

demo qml tensorflow automatic-differentiation tutorials pytorch autograd quantum-computing neural-networks quantum-chemistry key-concepts quantum-machine-learning

Updated Aug 27, 2020
Python

amdegroot / pytorch-containers

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Torch Containers simplified in PyTorch

torch pytorch complex-architectures autograd pytorch-containers

Updated Apr 28, 2017
Lua

rsokl / MyGrad

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Implement utilities suite

2

rsokl commented Jan 26, 2020

asarray : converts all array-likes to a numpy array; no copy for arrays
astensor converts all array-likes to a mygrad tensor; returns tensors unchanged
assert_almost_equal with various options to include checks of gradients and to include checks ac

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enhancement good first issue

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numpy 1.17 update: empty_like et. al now accept a shape argument

4

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Implement mean-pooling neural network operation

2

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ictxiangxin / paradox

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Deep-Learning framework from scratch

machine-learning deep-learning autograd symbolic-computation from-scratch

Updated Oct 13, 2018
Python

bat67 / pytorch-examples-cn

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用例子学习PyTorch1.0（Learning PyTorch with Examples 中文翻译与学习）

translation numpy pytorch autograd tensor pytorch-tutorial learning-pytorch pytorch-nn

Updated Mar 11, 2019
Jupyter Notebook

Kashu7100 / Qualia2.0

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Qualia is a deep learning framework deeply integrated with automatic differentiation and dynamic graphing with CUDA acceleration. Qualia was built from scratch.

reinforcement-learning deep-learning graph gpu automatic-differentiation cuda autograd gan neural-networks openpose

Updated Jul 15, 2020
Python

legume

fancompute / legume

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🌱 Guided-mode expansion of photonic crystal slabs

autograd optics photonics eigenmodes

Updated May 30, 2020
Python

DL4S

palle-k / DL4S

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Deep Learning for Swift - Accelerated tensor operations and dynamic neural networks based on reverse mode automatic differentiation

swift machine-learning deep-neural-networks deep-learning automatic-differentiation autograd recurrent-neural-networks neural-networks convolutional-neural-networks tensor gradient-descent swift-machine-learning

Updated Jun 30, 2020
Swift

deephealthproject / eddl

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European Distributed Deep Learning (EDDL) Library

machine-learning deep-learning neural-network cpp gpu autograd tensor

Updated Aug 17, 2020
C++

MinRegret / TigerControl

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Google AI Princeton control framework

python benchmarking machine-learning control autograd pybullet jax

Updated Aug 12, 2020
Jupyter Notebook

goktug97 / minigrad

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Autograd Engine for Python Written in Python C-API for Speed

python neural-network autograd python-c-api

Updated Apr 20, 2020
C

CamDavidsonPilon / autograd-gamma

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NotImplementedError: VJP of gammainc wrt argnum 0 not defined

beta autograd derivative gamma autodiff

Updated Jun 23, 2020
Python

mratsim / nim-rmad

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Autograd (backpropagation, reverse-mode auto differentiation) in Nim

nim deep-learning autograd gradient-descent backpropagation

Updated Oct 25, 2017
Nim

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