hsakas

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

fastText

Library for fast text representation and classification.

ML-From-Scratch

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

zulip

Zulip server and web application. Open-source team chat that helps teams stay productive and focused.

horovod

Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.

allennlp

An open-source NLP research library, built on PyTorch.

yolov3

YOLOv3 in PyTorch > ONNX > CoreML > TFLite

vid2vid

Pytorch implementation of our method for high-resolution (e.g. 2048x1024) photorealistic video-to-video translation.

tensorboardX

tensorboard for pytorch (and chainer, mxnet, numpy, ...)

faster-rcnn.pytorch

A faster pytorch implementation of faster r-cnn

autograd

Efficiently computes derivatives of NumPy code.

MMdnn

MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.

mmf

A modular framework for vision & language multimodal research from Facebook AI Research (FAIR)

deep-reinforcement-learning

Repo for the Deep Reinforcement Learning Nanodegree program

glow

Compiler for Neural Network hardware accelerators

cnn-benchmarks

Benchmarks for popular CNN models

robosat

Semantic segmentation on aerial and satellite imagery. Extracts features such as: buildings, parking lots, roads, water, clouds

temperature_scaling

A simple way to calibrate your neural network.

neupy

NeuPy is a Tensorflow based python library for prototyping and building neural networks

DOTA_devkit

ssds.pytorch

Repository for Single Shot MultiBox Detector and its variants, implemented with pytorch, python3.

pyprob

A probabilistic programming system for simulators and high-performance computing (HPC), based on PyTorch

LearningX

Deep & Classical Reinforcement Learning + Machine Learning Examples in Python

Faster_RCNN_for_DOTA

Code used for training Faster R-CNN on DOTA

extension-ffi

Examples of C extensions for PyTorch

NALU

Basic pytorch implementation of NAC/NALU from Neural Arithmetic Logic Units paper by trask et.al

Harvard-Robust-Machine-Learning

Repository for CS282R: Robust Machine Learning at Harvard University.

NeuralProcesses

Neural Processes implementation for 1D regression

compare_roi_pooling_speed

Deep-Learning-from-Scratch

Implenting DL modules from scratch