prakashpandey9

prakashpandey9's Stars

• pymc-devs/pymc

  Bayesian Modeling and Probabilistic Programming in Python

  Language:Python8.8k2k

• PyTables/PyTables

  A Python package to manage extremely large amounts of data

  Language:Python1.3k277

• alirezadir/Production-Level-Deep-Learning

  A guideline for building practical production-level deep learning systems to be deployed in real world applications.

  4.4k650

• alirezadir/Machine-Learning-Interviews

  This repo is meant to serve as a guide for Machine Learning/AI technical interviews.

  Language:Jupyter Notebook5.1k895

• seongjunyun/Graph_Transformer_Networks

  Graph Transformer Networks (Authors' PyTorch implementation for the NeurIPS 19 paper)

  Language:Jupyter Notebook994178

• EdGENetworks/attention-networks-for-classification

  Hierarchical Attention Networks for Document Classification in PyTorch

  Language:Jupyter Notebook605131

• WXinlong/SOLO

  SOLO and SOLOv2 for instance segmentation, ECCV 2020 & NeurIPS 2020.

  Language:Python1.7k307

• farzaa/DeepLeague

  (Open Source) Computer Vision + Deep Learning + League of Legends

  Language:Python1.1k182

• allanzelener/YAD2K

  YAD2K: Yet Another Darknet 2 Keras

  Language:Python2.7k880

• facebookresearch/detr

  End-to-End Object Detection with Transformers

  Language:Python13.8k2.5k

• DeepSceneSeg/EfficientPS

  PyTorch code for training EfficientPS for Panoptic Segmentation

  Language:Python53674

• dev-sungman/Awesome-Self-Supervised-Papers

  Paper bank for Self-Supervised Learning

  57959

• p-christ/Deep-Reinforcement-Learning-Algorithms-with-PyTorch

  PyTorch implementations of deep reinforcement learning algorithms and environments

  Language:Python5.7k1.2k

• normandipalo/faceID_beta

  An implementation of iPhone X's FaceID using face embeddings and siamese networks on RGBD images.

  Language:Jupyter Notebook908254

• jax-ml/jax

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

  Language:Python30.9k2.8k

• HIPS/autograd

  Efficiently computes derivatives of NumPy code.

  Language:Python7.1k915

• wting/autojump

  A cd command that learns - easily navigate directories from the command line

  Language:Python16.3k705

• asyml/texar

  Toolkit for Machine Learning, Natural Language Processing, and Text Generation, in TensorFlow. This is part of the CASL project: http://casl-project.ai/

  Language:Python2.4k374

• asyml/texar-pytorch

  Integrating the Best of TF into PyTorch, for Machine Learning, Natural Language Processing, and Text Generation. This is part of the CASL project: http://casl-project.ai/

  Language:Python745117

• probtorch/probtorch

  Probabilistic Torch is library for deep generative models that extends PyTorch

  Language:Python88865

• jettify/pytorch-optimizer

  torch-optimizer -- collection of optimizers for Pytorch

  Language:Python3.1k298

• bfelbo/DeepMoji

  State-of-the-art deep learning model for analyzing sentiment, emotion, sarcasm etc.

  Language:Python1.5k312

• sksq96/pytorch-summary

  Model summary in PyTorch similar to `model.summary()` in Keras

  Language:Python4k416

• tamarott/SinGAN

  Official pytorch implementation of the paper: "SinGAN: Learning a Generative Model from a Single Natural Image"

  Language:Python3.3k611

• thangvubk/Cascade-RPN

  Code for NeurIPS 2019 paper: "Cascade RPN: Delving into High-Quality Region Proposal Network with Adaptive Convolution"

  Language:Python18019

• kevinzakka/torchnca

  A PyTorch implementation of Neighbourhood Components Analysis.

  Language:Python40053

• ageitgey/face_recognition

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

  Language:Python53.8k13.5k

• tkipf/pygcn

  Graph Convolutional Networks in PyTorch

  Language:Python5.2k1.2k

• huggingface/tokenizers

  💥 Fast State-of-the-Art Tokenizers optimized for Research and Production

  Language:Rust9.2k816

• facebookresearch/pytorch3d

  PyTorch3D is FAIR's library of reusable components for deep learning with 3D data

  Language:Python8.9k1.3k