riven314 Goto Github PK

dressimg_classifier

em-image-segmentation

Course project of DASC7011 Statistical Inference

em-image-segmentation-1

end2end-controllable-instagram-captioning

An end-to-end approach to build an image captioning model with engaging captions and controllable attributes

enetdepth

An extremely fast RGB-D segmentation network

enetdepth_timeanlysis_tmp

Temporarily build this repo for analyzing model runtime

face_recognition

The world's simplest facial recognition api for Python and the command line

fast_ai

Notes on doing Practical Deep Learning For Coders, Part 1

fastai

The fastai deep learning library

fastai2

Temporary home for fastai v2 while it's being developed

fastai_doc

This repo documents my learning outcome in a course organized by fast.ai - Practical Deep Learning for Coders. I am attending the 2nd edition of the course(2018).

fastai_in_colab

I'll be working through the Fast.ai courses entirely in Google Colab notebooks. I'll publish them here!

fastaudio

🔊 Audio and fastai v2

fastbook

Draft of the fastai book

fasterrcnn-pipeline-pytorch

Setup a pipeline for training (transfer learning) Faster-RCNN in PyTorch. Data are in VOC format

few-shot-nlg

Code and Data for paper "Few-Shot NLG with Pre-Trained Language Model" https://arxiv.org/abs/1904.09521

financial-models-numerical-methods

Collection of notebooks about quantitative finance, with interactive python code.

generativedeeplearning-pytorch

Reimplement 'Generative Deep Learning' in PyTorch and FastAI

google-research

Google Research

grids

Implementation of the MILP-based grid-layout generation algorithm

hackingsift

Codelab for implementing image stitching with Sift using Python, OpenCv and Numpy

hello-world

hpatches-dataset

HPatches: Homography-patches dataset.

hugging-captions

Generate realistic Instagram captions using transformers 🤗

ib_insync

Python sync/async framework for Interactive Brokers API

image-affinesynthesis

given a bunch of cropped items with their masks, generate an image with a composition of these items.

jax

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

jesse

An advanced crypto trading bot written in Python

kalman-and-bayesian-filters-in-python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

keras-unet-foreground-extraction

Using U-Net for foreground and background separation on biomedical image