Erhil

Erhil's Stars

• spairet/nip

  Advanced configs for python

  Language:Python161

• Erhil/ML_matrials

  Language:Jupyter Notebook32

• valeoai/ZS3

  Zero-Shot Semantic Segmentation

  Language:Python18426

• dddzg/up-detr

  [TPAMI 2022 & CVPR2021 Oral] UP-DETR: Unsupervised Pre-training for Object Detection with Transformers

  Language:Python47371

• fudan-zvg/SETR

  [CVPR 2021] Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers

  Language:Python1k146

• zhengye1995/Zero-shot-Instance-Segmentation

  code for CVPR paper Zero-shot Instance Segmentation

  Language:Python9114

• FortsAndMills/RL-Theory-book

  Reinforcement learning theory book about foundations of deep RL algorithms with proofs.

  Language:TeX26119

• adasirotkina/project_taxi

  Language:Jupyter Notebook1

• machine-intelligence-laboratory/TopicNet

  Interface for easier topic modelling.

  Language:Python14017

• tonybeltramelli/pix2code

  pix2code: Generating Code from a Graphical User Interface Screenshot

  Language:Python11.9k1.4k

• mandubian/neural-ode

  Neural Ordinary Differential Equation

  Language:Jupyter Notebook10016

• shrubb/box-convolutions

  PyTorch code for the "Deep Neural Networks with Box Convolutions" paper

  Language:C++50935

• HRNet/HRNet-Image-Classification

  Train the HRNet model on ImageNet

  Language:Python953216

• havasnewyork/IBM-Watson-Developer-Certification-Study-Guide

  A Developer Study Guide for Exam C7020-230 - IBM Watson V3 Application Development

  8381

• 5j9/wikitextparser

  A Python library to parse MediaWiki WikiText

  Language:Python27921

• benathi/word2gm

  Word to Gaussian Mixture Model

  Language:Jupyter Notebook28274

• facebookresearch/fastText

  Library for fast text representation and classification.

  Language:HTML25.8k4.7k

• SergeySatskiy/codimension

  Experimental Python IDE written mostly in Python

  Language:Python10620

• eriklindernoren/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.

  Language:Python23.6k4.6k

• donnemartin/data-science-ipython-notebooks

  Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

  Language:Python26.9k7.8k

• keras-team/keras

  Deep Learning for humans

  Language:Python61.4k19.4k

• kdn251/interviews

  Everything you need to know to get the job.

  Language:Java62.9k12.8k

• tensorflow/models

  Models and examples built with TensorFlow

  Language:Python76.8k45.8k

• tensorflow/tensorflow

  An Open Source Machine Learning Framework for Everyone

  Language:C++184k74.1k

• AndreyAkinshin/Russian-Phd-LaTeX-Dissertation-Template

  LaTeX-template for russian Phd thesis

  Language:TeX1.3k660

• ryanjay0/miles-deep

  Deep Learning Porn Video Classifier/Editor with Caffe

  Language:C++2.6k284