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47 search results found

Gorgonia ⭐ 5,357

Gorgonia is a library that helps facilitate machine learning in Go.

Deep learning with dynamic computation graphs in TensorFlow

Spago ⭐ 1,691

Self-contained Machine Learning and Natural Language Processing library in Go

Assignment1 2018 ⭐ 471

Assignment 1: automatic differentiation

Go Cyber ⭐ 349

Your 🔵 Superintelligence

Neural Network From Scratch ⭐ 297

Implementing Multiple Layer Neural Network from Scratch

Twitter Sentiment Cnn ⭐ 133

An implementation in TensorFlow of a convolutional neural network (CNN) to perform sentiment classification on tweets.

Torchmtl ⭐ 131

A lightweight module for Multi-Task Learning in pytorch.

Structured Prediction Energy Networks in Torch

Mxnet Mobilenet V2 ⭐ 128

Reproduction of MobileNetV2 using MXNet

A Computation Graph Virtual Machine based ML Framework

Stresnet ⭐ 79

A TensorFlow Implementation of Deep Spatio-Temporal Residual Networks (ST-ResNet): https://arxiv.org/abs/1610.00081

Implement you own AD in 300 loc

Nvtx Plugins ⭐ 67

Python bindings for NVTX

Inter Operator Scheduler ⭐ 62

[MLSys 2021] IOS: Inter-Operator Scheduler for CNN Acceleration

JET is a different approach to make numeric python substantially faster

Assignment2 2017 ⭐ 59

(Spring 2017) Assignment 2: GPU Executor

A platform independent tensor library with autograd for the JVM

Tensorsem ⭐ 47

Structural Equation Modeling using Torch

Nnvm Fusion ⭐ 46

Kernel Fusion and Runtime Compilation Based on NNVM

Graphattack ⭐ 45

Computational graph library for machine learning

Neural Network Playground ⭐ 43

A visual Deep Learning Framework for the Web - Built with WebGPU, Next.js and ReactFlow.

Differentiable Idris ⭐ 39

dependent types meets deep learning

Dispatcher.jl ⭐ 38

Build, distribute, and execute task graphs

A Tensorflow implementation of "QANet: Combining Local Convolution with Global Self-Attention for Reading Comprehension": https://arxiv.org/abs/1804.09541

Computation Graph ⭐ 26

Neural_additive_models ⭐ 22

Repo for open sourcing the NAMs.

Tf Hypergrad ⭐ 20

simple example of gradient-based hyperparameter optimization using tensorflow

Chinesener ⭐ 20

scala multi-dimensional arrays with reverse-mode autodifferentiation

Bzcompute ⭐ 14

bzCompute is a computation graph library with built-in support for domain-decomposition and prallel computation. The library can be used for expressing and executing large number of mathematical and text-processing operations using Data-Flow graphs, (Educational version of tensorflow), written in pure python code with numpy support.

Free Arrow ⭐ 14

Implementation of the Free Arrow in Scala and other helpful tools for working with Arrows

Naivecompgraph ⭐ 9

A demo project for a computation graph implementation in C++.

Attentive Reader ⭐ 9

TensorFlow-based implementation of Stanford's Attentive Reader for the CNN/DailyMail datatset

Simple replication of PyTorch by pure python and numpy

Paragraph ⭐ 8

A computation graph micro-framework providing seamless lazy and concurrent evaluation

C computation graph, AutoGrad with OpenCL support [WIP]

Spawnfest 2018 project by Thales

artifax is a Python package to evaluate nodes in a computation graph where the dependencies associated with each node are extracted directly from their function signatures.

Auto-differentiation library for C++

Deep Learning Specialization Notes ⭐ 5

Things about the DL specialization from Coursera.

Neural Texture Transfer ⭐ 5

Apply any texture to an image without changing the colors of its content

Auto_diff ⭐ 5

assignment from https://github.com/dlsys-course/assignment1

Computational_maths ⭐ 5

A short collection of Jupyter notebooks explaining some basic computational math

Model Based Rl ⭐ 5

Model-based Policy Gradients

1-47 of 47 search results

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