ShreyasHavaldar7

ShreyasHavaldar7's Stars

• huggingface/transformers

  🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

  Language:Python141k1.1k16.8k28.2k

• tensorflow/models

  Models and examples built with TensorFlow

  Language:Python77.4k2.7k7.3k45.7k

• obsproject/obs-studio

  OBS Studio - Free and open source software for live streaming and screen recording

  Language:C62.6k1.5k4.3k8.2k

• google-research/bert

  TensorFlow code and pre-trained models for BERT

  Language:Python38.8k1k1.1k9.7k

• pyg-team/pytorch_geometric

  Graph Neural Network Library for PyTorch

  Language:Python22k2553.6k3.8k

• EthicalML/awesome-production-machine-learning

  A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

  18.1k415822.3k

• antlr/antlr4

  ANTLR (ANother Tool for Language Recognition) is a powerful parser generator for reading, processing, executing, or translating structured text or binary files.

  Language:Java17.6k3712.3k3.3k

• keon/awesome-nlp

  :book: A curated list of resources dedicated to Natural Language Processing (NLP)

  17k609552.6k

• pytorch/vision

  Datasets, Transforms and Models specific to Computer Vision

  Language:Python16.6k4543.4k7k

• tensorflow/tensor2tensor

  Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

  Language:Python15.9k4711.2k3.6k

• codertimo/BERT-pytorch

  Google AI 2018 BERT pytorch implementation

  Language:Python6.3k127871.3k

• naganandy/graph-based-deep-learning-literature

  links to conference publications in graph-based deep learning

  Language:Jupyter Notebook4.9k25114778

• zhanghang1989/ResNeSt

  ResNeSt: Split-Attention Networks

  Language:Python3.2k57142495

• HRNet/HRNet-Semantic-Segmentation

  The OCR approach is rephrased as Segmentation Transformer: https://arxiv.org/abs/1909.11065. This is an official implementation of semantic segmentation for HRNet. https://arxiv.org/abs/1908.07919

  Language:Python3.2k57266688

• blueman-project/blueman

  Blueman is a GTK+ Bluetooth Manager

  Language:Python1.3k391.5k205

• google-research/augmix

  AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty

  Language:Python9832926157

• nv-tlabs/GSCNN

  Gated-Shape CNN for Semantic Segmentation (ICCV 2019)

  Language:Python9213686202

• MenghaoGuo/AutoDeeplab

  Pytorch Implementation the paper Auto-DeepLab Hierarchical Neural Architecture Search for Semantic Image Segmentation

  Language:Python411204297

• nimarb/pytorch_influence_functions

  This is a PyTorch reimplementation of Influence Functions from the ICML2017 best paper: Understanding Black-box Predictions via Influence Functions by Pang Wei Koh and Percy Liang.

  Language:Python33173271

• haskell-gi/haskell-gi

  Generate Haskell bindings for GObject-Introspection capable libraries

  Language:Haskell2981135674

• cedricoeldorf/ConditionalStyleGAN

  Conditional implementation for NVIDIA's StyleGAN architecture

  Language:Python22771447

• frederick0329/TracIn

  Implementation of Estimating Training Data Influence by Tracing Gradient Descent (NeurIPS 2020)

  Language:Jupyter Notebook22781015

• google-research/s4l

  Tensorflow implementation of S4L: Self-Supervised Semi-Supervised Learning

  Language:Python9511421

• siit-vtt/semi-supervised-learning-pytorch

  Several SSL methods (Pi model, Mean Teacher) are implemented in pytorch

  Language:Python824227

• bethgelab/game-of-noise

  Trained model weights, training and evaluation code from the paper "A simple way to make neural networks robust against diverse image corruptions"

  Language:Python616412

• kohpangwei/group-influence-release

  Language:Python50658

• F-Salehi/CURE_robustness

  Implemented CURE algorithm from robustness via curvature regularization and vice versa

  Language:Python31231

• IITH/aims-gpa-calculator

  Language:JavaScript288693

• mbzuai-nlp/x-claim

  EMNLP 2023 (main): Extractive Multilingual Claim Span Identification

  Language:Python12600

• vandrearczyk/FCNT

  Texture segmentation with Fully Convolutional Networks

  Language:Python11311